Publications

@conference{ Aigner2017_110 ,
title = {Using graph-based algorithms and data-driven documents for formulation and visualization of large MDO systems.},
author = {B. Aigner and I. {van Gent} and G. {La Rocca} and E. Stumpf},
url = {https://www.agile-project.eu/cloud/index.php/s/mbdufb7vnnMRb3Y},
year = {2017},
date = {2017-10-01},
volume = {Paper 173},
address = {Bucharest, Romania},
organization = {6th CEAS Air & Space Conference Aerospace Europe ,},
abstract = {A new system is presented that enables the visualization of large multidisciplinary design optimization (MDO) problems and their solution strategy. This visualization system is the result of a cooperation between RWTH Aachen University and Delft University of Technology (DUT) within the EU project AGILE. In AGILE, col- laborative MDO is performed in large, heterogeneous teams of experts by solving MDO problems using a collection of design and analysis tools. The two main phases of such a collaborative MDO project are the formulation and the execution phase. This paper focuses on the visualizations required to support the for- mulation phase of the MDO problem. In this phase three main steps have been identified: the set-up of the repository of interconnected tools, the definition of the MDO problem at hand, and the determination of the solution strategy to solve that MDO problem. KADMOS, an open-source MDO support system developed by DUT, uses graph-based analysis to formulate an MDO problem and its solution strategy, based on the disciplinary analyses available in a repository. The results of KADMOS are stored in a standardized format called CMDOWS, which is eventually used to trigger the execution phase by means of a simulation workflow platform of choice. Although based on XML, the readability of the CMDOWS file is quite poor also for MDO experts, especially for large MDO systems involving thousands of variables, thus preventing visual inspection of the formalized MDO problem. Providing visualization capabilities to thoroughly inspect the outcome of the three aforementioned formulation steps becomes a key factor to enable the specification of large MDO sys- tems in a heterogeneous team. Therefore, one of the main hurdles for using MDO as a development process can be removed. Conventional visualization methods (such as N2-charts, functional dependency tables, and design structure matrices) have major scalability limitations. Therefore VISTOMS, a dynamic visualization package based on the open-source visualization library D3.js, was developed by RWTH Aachen to enable the visualization and inspection of the different MDO system specification steps. The developed visualization capabilities are demonstrated by means of a wing design optimization problem performed at DUT. As shown in this use case, VISTOMS enables the visualization and inspection of a large MDO system containing more than ten different aircraft design tools, interlinking thousands of variables.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

A new system is presented that enables the visualization of large multidisciplinary design optimization (MDO) problems and their solution strategy. This visualization system is the result of a cooperation between RWTH Aachen University and Delft University of Technology (DUT) within the EU project AGILE. In AGILE, col- laborative MDO is performed in large, heterogeneous teams of experts by solving MDO problems using a collection of design and analysis tools. The two main phases of such a collaborative MDO project are the formulation and the execution phase. This paper focuses on the visualizations required to support the for- mulation phase of the MDO problem. In this phase three main steps have been identified: the set-up of the repository of interconnected tools, the definition of the MDO problem at hand, and the determination of the solution strategy to solve that MDO problem. KADMOS, an open-source MDO support system developed by DUT, uses graph-based analysis to formulate an MDO problem and its solution strategy, based on the disciplinary analyses available in a repository. The results of KADMOS are stored in a standardized format called CMDOWS, which is eventually used to trigger the execution phase by means of a simulation workflow platform of choice. Although based on XML, the readability of the CMDOWS file is quite poor also for MDO experts, especially for large MDO systems involving thousands of variables, thus preventing visual inspection of the formalized MDO problem. Providing visualization capabilities to thoroughly inspect the outcome of the three aforementioned formulation steps becomes a key factor to enable the specification of large MDO sys- tems in a heterogeneous team. Therefore, one of the main hurdles for using MDO as a development process can be removed. Conventional visualization methods (such as N2-charts, functional dependency tables, and design structure matrices) have major scalability limitations. Therefore VISTOMS, a dynamic visualization package based on the open-source visualization library D3.js, was developed by RWTH Aachen to enable the visualization and inspection of the different MDO system specification steps. The developed visualization capabilities are demonstrated by means of a wing design optimization problem performed at DUT. As shown in this use case, VISTOMS enables the visualization and inspection of a large MDO system containing more than ten different aircraft design tools, interlinking thousands of variables.

Fioriti, M; Boggero, L; Corpino, S; Prakasha, P S; Ciampa, P D; Nagel, B

The Effect of Sub-systems Design Parameters on Preliminary Aircraft Design in a Multidisciplinary Design Environment. Conference

Paper 245 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Della Vecchia, P; Nicolosi, F; Ruocco, M; Stingo, L; De Marco, A

An improved method for transport aircraft for high lift aerodynamic prediction. Conference

Paper 254 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Lombardi, R; Fioriti, M; Boggero, L; Lo Verde, L; Catino, N; Mirzoyan, A; D'Ippolito, R

Automated Selection of Airliner Optimal On-board Systems Architecture within MDO Collaborative Environment. Conference

Paper 258 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Prakasha, P S; Ciampa, P D; Boggero, L; Fioriti, M; Aigner, B; Mirzoyan, A; Isyanov, A; Anisimov, K; Savelyev, A

Airframe – On Board System – Propulsion System Optimization for Civil Transport Aircraft: AGILE EU project. Conference

Paper 270 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Prakasha2017_107 ,
title = {Airframe – On Board System – Propulsion System Optimization for Civil Transport Aircraft: AGILE EU project.},
author = {P.S. Prakasha and P.D. Ciampa and L. Boggero and M. Fioriti and B. Aigner and A. Mirzoyan and A. Isyanov and K. Anisimov and A. Savelyev},
url = {https://www.agile-project.eu/cloud/index.php/s/gQJekKQyuaTEMid},
year = {2017},
date = {2017-10-01},
volume = {Paper 270},
address = {Bucharest, Romania},
organization = {6th CEAS Air & Space Conference Aerospace Europe ,},
abstract = {As part of H2020 EU project “AGILE”, a Collaborative System of Systems Multidisciplinary Design Optimization research approach is presented in this paper. An approach to integrate airframe design analysis, as well as propulsion system, aircraft on-board systems, aerodynamics, structures and emission analysis in the early design process is presented. Moreover, the aim of this approach is to exploit the coupling parameters in an integrated analysis and optimization approach. Further, the disciplinary analysis modules from multiple organizations involved in the optimization are integrated within a distributed framework. The disciplinary analysis tools are not shared, but only the data is shared between partners through a secured network of framework. The collaborative design process is implemented by making use of XML based standard Common Parametric Aircraft Configuration Scheme (CPACS), which is the basis for communication within distributed framework to exchange model information between the multi-disciplinary analysis modules and between partner organizations involved in the research activity. The framework is validated with a regional jet passenger reference aircraft. The Sensitivity of varying Engine By Pass Ratio, On-Board System Architectures (Conventional/More Electric/All Electric) is performed through disciplinary modules, effects propagated and its impact on overall aircraft performance in terms of Fuel Burn, Emission and Life Cycle Cost is presented.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Panzeri, M; Savelyev, A; Anisimov, K; D'Ippolito, R; Mirzoyan, A

Uncertainty quantification and robust design optimization applied to aircraft propulsion systems. Conference

Paper 271 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Panzeri2017_97 ,
title = {Uncertainty quantification and robust design optimization applied to aircraft propulsion systems.},
author = {M. Panzeri and A. Savelyev and K. Anisimov and R. D'Ippolito and A. Mirzoyan},
url = {https://www.agile-project.eu/cloud/index.php/s/sZaY0aeguHPfkz5},
year = {2017},
date = {2017-10-01},
volume = {Paper 271},
address = {Bucharest, Romania},
organization = {6th CEAS Air & Space Conference Aerospace Europe ,},
abstract = {The standard way of formulating optimization problems applied to aircraft design is based on the assumption that the underlying system is deterministic, i.e., that the knowledge associated with the design variables and with the system dynamic is not characterized by uncertainty. However, in real conditions randomness impacts the formulation of the design process in multiple ways and the system outputs (i.e., the key performance indicators and the design constraints) are also affected by uncertainty. A system designed under deterministic assumptions may therefore have an unreliable behavior due to the fluctuations associated with the input random variables. This problem can be tackled by adopting a probabilistic approach and re-formulating the design optimization problem with an additional set of constraints associated with the robustness / reliability of the target system. This work addresses the problem of optimizing the geometry of a turbofan engine nacelle subject on reliability constraints. An advanced, machine-learning based framework is adopted in order to (a) investigate the system behavior through an adaptive design of experiments technique and (b) build accurate surrogate models of the system dynamics. These surrogate models are then employed to run a set of probabilistic studies at an affordable computational cost. The results of these investigations include (a) an extensive suite of analyses aimed at characterizing the uncertainty associated with the output quantities of interest; (b) a robust optimization of the engine nacelle geometry and (c) an assessment of the reliability of the optimized design. The improved performance and reliability of the design, together with the limited number of overall system evaluations required to run the analyses, demonstrate the effectiveness and the engineering applicability of the proposed approach.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Charbonnier, D; Vos, J B; Prakasha, P S; Mirzoyan, A; Savelyev, A; Della Vecchia, P

Low Speed Take-Off Aerodynamic Analysis. Conference

Paper 272 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Baalbergen, E; Moerland, E; Lammen, W; Ciampa, P D

Methods Supporting the Efficient Collaborative Design of Future Aircraft. Conference

Paper 844 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Baalbergen2017_73 ,
title = {Methods Supporting the Efficient Collaborative Design of Future Aircraft.},
author = {E. Baalbergen and E. Moerland and W. Lammen and P.D. Ciampa},
url = {https://www.agile-project.eu/cloud/index.php/s/GNBTHYKRutJsdKa},
year = {2017},
date = {2017-10-01},
volume = {Paper 844},
address = {Bucharest, Romania},
organization = {6th CEAS Air & Space Conference Aerospace Europe ,},
abstract = {The paper describes the need for and advantages of efficient and effective collaboration within the aircraft development supply chain. It discusses the barriers on the organisational, human and technical levels that hamper efficient collaboration. One of the focal points of the European Horizon2020 project AGILE is the creation of technical solutions for resolving the challenges that come with collaboration. In this light, the paper focuses on two methods being investigated and developed for supporting multidisciplinary teams from different organisations in collaborative aircraft design. The first method concerns the realisation of cross-organisational workflows for multidisciplinary design of aircraft. The workflows support the definition and smooth application of multiorganisation collaborative product development analyses. The second method concerns the deployment and management of surrogate models, which support efficient collaborative multidisciplinary aircraft design while dealing with intellectual property issues and computational speed limitations. After the introduction of the methods, two representative use cases which are successfully supported by the methods are highlighted. An important observation is that efficient collaboration is not straightforward when engineers from different and usually geographically dispersed organisations attempt to achieve a common design target. Once the collaboration methods are in place however, investigation of novel aircraft configurations is enabled by optimally leveraging the dedicated disciplinary knowledge of all involved experts.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Torrigiani, F; Ciampa, P D

MDO Architectures Comparison: from Analytical Test Case and Aerostructural Aircraft System Design Problems. Conference

Paper 851 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Walther, J; Ciampa, P D

Knowledge-based airframe design using CPACS. Conference

Paper 852 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Ciampa, P D; Nagel, B

AGILE Aircraft Development Process. Conference

Paper 876 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

BibTeX | Tags:

Lammen, W; de Wit, B; Vankan, J; Timmermans, H; van der Laan, T; Ciampa, P D

Collaborative design of aircraft systems – Multi-Level Optimisation of an aircraft rudder. Conference

Paper 898 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Lammen2017_90 ,
title = {Collaborative design of aircraft systems – Multi-Level Optimisation of an aircraft rudder.},
author = {W. Lammen and B. {de Wit} and J. Vankan and H. Timmermans and T. {van der Laan} and P.D. Ciampa},
url = {https://www.agile-project.eu/cloud/index.php/s/YjICMo2W18kHMPY},
year = {2017},
date = {2017-10-01},
volume = {Paper 898},
address = {Bucharest, Romania},
organization = {6th CEAS Air & Space Conference Aerospace Europe ,},
abstract = {The design and development of modern aircraft is a complex process involving many actors from different companies, e.g. the aircraft Original Equipment Manufacturer (OEM) and suppliers of (sub)systems and parts. The suppliers are responsible for their own system or part design, while the OEM is responsible for the overall aircraft design and the interfaces between the aircraft systems and parts. A system design that is optimal from system or part perspective may not be optimal from the global aircraft perspective. In order to avoid costly redesign iterations there is a need to optimize both the design of the overall aircraft and of its systems in an integrated way. This paper describes two methods for applying Multi-Level Optimization (MLO), in order to integrate the local system/part design optimization within the global aircraft design optimization. The design of an aircraft rudder is applied as use case. The use case addresses the coupling of a specific aircraft design analysis with a specific rudder design analysis and the global and local optimizations. First the MLO method Analytical Target Cascading (ATC) is applied to a theoretical example of fictive rudder design. Second a surrogate-based MLO approach is applied to a collaborative aircraft rudder design study involving multi-partner analysis tools. Both methods illustrate that applying MLO provides insight into the coupled design problem both for the OEM and for the supplier and reduces development time.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Zhang, M; Jungo, A; Bartoli, N

Disciplinary Data Fusion for Multi-Fidelity Aerodynamic Application. Conference

Paper 953 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

Lefebvre, T; Bartoli, N; Dubreuil, S; Lombardi, R; Panzeri, M; Lammen, W; Zhang, M; van Gent, I; Ciampa, P D

Overview of MDO enhancement in the AGILE project: A Clustered and Surrogate-Based MDA Use Case. Conference

Paper 956 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

van der Laan, T; Hootsmans, L; Panzeri, M; D'Ippolito, R

Robust optimization of a rudder hinge system taking into account uncertainty in Airframe parameters. Conference

Paper 957 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

van Gent, I; La Rocca, G; Hoogreef, M F M

CMDOWS: A proposed new standard to store and exchange MDO Systems. Conference

Paper 969 , 6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ van2017_66 ,
title = {CMDOWS: A proposed new standard to store and exchange MDO Systems.},
author = {I. {van Gent} and G. {La Rocca} and M.F.M. Hoogreef},
url = {https://www.agile-project.eu/cloud/index.php/s/wrQgJYlQBDS3BxC},
year = {2017},
date = {2017-10-01},
volume = {Paper 969},
address = {Bucharest, Romania},
organization = {6th CEAS Air & Space Conference Aerospace Europe ,},
abstract = {This paper proposes a new format to store and exchange multidisciplinary design optimization (MDO) sys- tems. Here, the generic term MDO system refers to the organized set of disciplinary tools, and their ex- changed data and the process connections that, all together, define an MDO computational setup. In the process leading to the formal specification of such a computational system, i.e. starting from a repository of disciplinary tools, down to the specification of the actual optimization problem and finally to the implementa- tion of a specific MDO architecture, the aforementioned set of tools, data and connections evolves, until the complete MDO system formulation (thus not yet executable) is reached. The proposed new standard, called CMDOWS (Common MDO Workflow Schema), has been developed to enable this process by providing a means to store and exchange any MDO system and its associated information in a neutral format. Further- more, CMDOWS provides the starting point to translate any MDO system formulation into an executable computational workflow, by means of a Process Integration and Design Optimization (PIDO) tool of choice. To the authors’ knowledge, such an exchange format does currently not exist, notwithstanding the enormous potential it would have for the exploitation of large-scale MDO in industry. CMDOWS is one of the outcomes of the EU project AGILE, where one of the main goals is to reduce the development time of distributed MDO workflows created by large and heterogeneous teams of experts. CMDOWS is an XML schema (XSD) that, in its set-up and structure, shows similarities with the Common Parametric Aircraft Configuration Schema (CPACS) developed by the German Aerospace Center (DLR), which is becoming a de-facto standard to store and exchange aircraft design and performance data. Whereas CPACS allows the user to store aircraft data in a standard format, CMDOWS enables the storing the specification of a full system of multidisciplinary tools, including the data and process links between its various operating blocks (e.g. disciplinary tools, objective and constraint functions, optimizers, convergers, etc.). The key aspect of this proposed format for MDO sys- tems is its neutral XML-based data representation, which is both human-readable and machine-interpretable, making any stored MDO system exchangeable between the design team members and the applications de- veloped to support the team in setting up the MDO system. The latter form of exchangeability is a key enabler for the creation of a versatile MDO framework that includes applications such as tool repositories, MDO system formulation platforms, visualization packages, and collaborative workflow execution platforms. The CMDOWS definition is available, including examples, through a publicly available software repository. Although the schema is under continuous development within the AGILE project, a case study demonstrating the use of CMDOWS version 0.6 in the AGILE MDO framework is presented in this paper. Based on this case study, it can be concluded that the current version of CMDOWS already provides a robust standard to exchange MDO systems between MDO framework applications. The schema will be extended to meet future developments and promote its adoption as a recognized standard in the broader MDO community.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

This paper proposes a new format to store and exchange multidisciplinary design optimization (MDO) sys- tems. Here, the generic term MDO system refers to the organized set of disciplinary tools, and their ex- changed data and the process connections that, all together, define an MDO computational setup. In the process leading to the formal specification of such a computational system, i.e. starting from a repository of disciplinary tools, down to the specification of the actual optimization problem and finally to the implementa- tion of a specific MDO architecture, the aforementioned set of tools, data and connections evolves, until the complete MDO system formulation (thus not yet executable) is reached. The proposed new standard, called CMDOWS (Common MDO Workflow Schema), has been developed to enable this process by providing a means to store and exchange any MDO system and its associated information in a neutral format. Further- more, CMDOWS provides the starting point to translate any MDO system formulation into an executable computational workflow, by means of a Process Integration and Design Optimization (PIDO) tool of choice. To the authors’ knowledge, such an exchange format does currently not exist, notwithstanding the enormous potential it would have for the exploitation of large-scale MDO in industry. CMDOWS is one of the outcomes of the EU project AGILE, where one of the main goals is to reduce the development time of distributed MDO workflows created by large and heterogeneous teams of experts. CMDOWS is an XML schema (XSD) that, in its set-up and structure, shows similarities with the Common Parametric Aircraft Configuration Schema (CPACS) developed by the German Aerospace Center (DLR), which is becoming a de-facto standard to store and exchange aircraft design and performance data. Whereas CPACS allows the user to store aircraft data in a standard format, CMDOWS enables the storing the specification of a full system of multidisciplinary tools, including the data and process links between its various operating blocks (e.g. disciplinary tools, objective and constraint functions, optimizers, convergers, etc.). The key aspect of this proposed format for MDO sys- tems is its neutral XML-based data representation, which is both human-readable and machine-interpretable, making any stored MDO system exchangeable between the design team members and the applications de- veloped to support the team in setting up the MDO system. The latter form of exchangeability is a key enabler for the creation of a versatile MDO framework that includes applications such as tool repositories, MDO system formulation platforms, visualization packages, and collaborative workflow execution platforms. The CMDOWS definition is available, including examples, through a publicly available software repository. Although the schema is under continuous development within the AGILE project, a case study demonstrating the use of CMDOWS version 0.6 in the AGILE MDO framework is presented in this paper. Based on this case study, it can be concluded that the current version of CMDOWS already provides a robust standard to exchange MDO systems between MDO framework applications. The schema will be extended to meet future developments and promote its adoption as a recognized standard in the broader MDO community.

Kaminski, J; Torre, G; Tomasella, F; Rao, N K

AGILE Academy-Student Collaborative MDA. Conference

6th CEAS Air & Space Conference Aerospace Europe , Bucharest, Romania, 2017.

Links | BibTeX | Tags:

van Gent, I; La Rocca, G

Recent developments for MDO system formulation: KADMOS and CMDOWS. Conference

1st European Workshop on MDO for Industrial Applications in Aeronautics – Challenges and Expectations , Braunschweig, Germany, 2017.

Links | BibTeX | Tags:

Ciampa, P D

Management and reconfiguration of MDO workflow in the EU project AGILE. Conference

1st European Workshop on MDO for Industrial Applications in Aeronautics – Challenges and Expectations , Braunschweig, Germany, 2017.

Links | BibTeX | Tags:

Rizzi, A

Towards the next generation collaborative MDO: The AGILE Project. Conference

RAeS Aerodynamics CFD-MDO conference , London, UK, 2017.

Links | BibTeX | Tags:

Dubreuil, S; Bartoli, N; Gogu, C; Lefebvre, T

Towards an Efficient Global Multidisciplinary Optimization based on surrogate models Conference

1st European Workshop on MDO for Industrial Applications in Aeronautics – Challenges and Expectations , Braunschweig, Germany, 2017.

Links | BibTeX | Tags:

van Gent, I; Lombardi, R; La Rocca, G; D'Ippolito, R

A Fully Automated Chain from MDAO Problem Formulation to Workflow Execution. Conference

EUROGEN 2017 , Madrid, Spain, 2017.

Abstract | Links | BibTeX | Tags:

Zhang, M; Melin, T; Gong, J; Barth, M

Mixed Fidelity Aerodynamic and Aero-Structural Optimization for Wings Conference

Paper 279 , 7th EASN Workshop , Warsaw, Poland, 2017.

Links | BibTeX | Tags:

Ciampa, P D

AGILE Project @ECN : The next generation of collaborative MDO. Conference

IFAR-ECN Meeting , Moscow, Russia, 2017.

Links | BibTeX | Tags:

Fioriti, M; Boggero, L; Corpino, S; Isyanov, A; Mirzoyan, A; Lombardi, R; D'Ippolito, R

Automated Selection of the Optimal On-board Systems Architecture within MDO Collaborative Environment. Conference

AIAA Paper 2017-3150 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

van Gent, I; La Rocca, G; Veldhuis, L

Composing MDO Symphonies : Graph-based Problem Formulation to Enable Automated Execution for Large MDO Systems. Conference

AIAA Paper 2017-3663 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ van2017_111 ,
title = {Composing MDO Symphonies : Graph-based Problem Formulation to Enable Automated Execution for Large MDO Systems.},
author = {I. {van Gent} and G. {La Rocca} and L. Veldhuis},
url = {https://www.agile-project.eu/cloud/index.php/s/7rjvoUAMNSm8AcQ},
year = {2017},
date = {2017-06-01},
volume = {AIAA Paper 2017-3663},
address = {Denver, USA},
organization = {AIAA Aviation 2017 ,},
abstract = {This paper proposes a novel methodology and its software implementation, called KADMOS (Knowledge- and graph-based Agile Design for Multidisciplinary Optimization System), which aims at increasing the agility of aircraft design teams that perform collaborative multidisciplinary design analysis and optimization (MDAO) by means of graph manipulation techniques. By agility, the ease and flexibility to assemble, adapt and adjust MDAO computational systems is intended here, as necessary to better fit the iterative nature of the aircraft design process. KADMOS has been developed on the notion that a formal specification of an MDAO system is required before its actual implementation, especially to be able to compose large and complex systems in multidisciplinary design teams. This specification system is under development as part of the EU project AGILE where a new generation of aircraft MDAO systems is investigated to support collaboration of heterogeneous teams of experts. KADMOS improves the agility of the design team in three ways: 1) reducing the set-up time required to compose large and complex MDAO models, 2) enabling the systematic inspection and debugging of this model, and 3) manipulating the model for automated creation and reconfiguration of optimization strategies, including the accompanying executable workflow. This is achieved by means of a graph-based analysis system that combines different existing advantageous techniques for performing MDAO, such as the use of a single shared data schema containing a parametric representation of the aircraft, knowledge-based technologies, and simulation workflow (SWF) software packages. Two MDAO case studies will be presented in the paper. The first case study is based on a simple analytical problem, generally used in literature for MDAO benchmarking studies. The second case study concerns a detailed wing aerostructure design using a collection of wing design tools. While the simple and compact analytical problem is used in this paper to demonstrate the functionalities of the tool, the wing design case demonstrates the capability of KADMOS to support quick formulation, (re)configuration, and execution of MDAO workflows using distributed and heterogeneous sets of analysis tools.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

This paper proposes a novel methodology and its software implementation, called KADMOS (Knowledge- and graph-based Agile Design for Multidisciplinary Optimization System), which aims at increasing the agility of aircraft design teams that perform collaborative multidisciplinary design analysis and optimization (MDAO) by means of graph manipulation techniques. By agility, the ease and flexibility to assemble, adapt and adjust MDAO computational systems is intended here, as necessary to better fit the iterative nature of the aircraft design process. KADMOS has been developed on the notion that a formal specification of an MDAO system is required before its actual implementation, especially to be able to compose large and complex systems in multidisciplinary design teams. This specification system is under development as part of the EU project AGILE where a new generation of aircraft MDAO systems is investigated to support collaboration of heterogeneous teams of experts. KADMOS improves the agility of the design team in three ways: 1) reducing the set-up time required to compose large and complex MDAO models, 2) enabling the systematic inspection and debugging of this model, and 3) manipulating the model for automated creation and reconfiguration of optimization strategies, including the accompanying executable workflow. This is achieved by means of a graph-based analysis system that combines different existing advantageous techniques for performing MDAO, such as the use of a single shared data schema containing a parametric representation of the aircraft, knowledge-based technologies, and simulation workflow (SWF) software packages. Two MDAO case studies will be presented in the paper. The first case study is based on a simple analytical problem, generally used in literature for MDAO benchmarking studies. The second case study concerns a detailed wing aerostructure design using a collection of wing design tools. While the simple and compact analytical problem is used in this paper to demonstrate the functionalities of the tool, the wing design case demonstrates the capability of KADMOS to support quick formulation, (re)configuration, and execution of MDAO workflows using distributed and heterogeneous sets of analysis tools.

Ciampa, P D; Nagel, B

The AGILE Paradigm : the next generation of collaborative MDO. Conference

AIAA Paper 2017-4137 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

Ciampa, P D; Moerland, E; Seider, D; Baalbergen, E; Lombardi, R; D'Ippolito, R

A collaborative Architecture supporting AGILE Design of Complex Aeronautics Products. Conference

AIAA Paper 2017-4138 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

van Gent, I; Ciampa, P D; Aigner, B; Jepsen, J; La Rocca, G; Schut, J

Knowledge architecture supporting collaborative MDO in the AGILE Paradigm. Conference

AIAA Paper 2017-4139 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ van2017_74 ,
title = {Knowledge architecture supporting collaborative MDO in the AGILE Paradigm.},
author = {I. {van Gent} and P.D. Ciampa and B. Aigner and J. Jepsen and G. {La Rocca} and J. Schut},
url = {https://www.agile-project.eu/cloud/index.php/s/X3OGfNQxpW121Mv},
year = {2017},
date = {2017-06-01},
volume = {AIAA Paper 2017-4139},
address = {Denver, USA},
organization = {AIAA Aviation 2017 ,},
abstract = {The AGILE project is developing the next generation of development processes, anddeploying a collaborative MDO design system, called the AGILE development framework(ADF). Naturally, such a system contains a lot of implicit assumptions on how things shouldbe done and how to exploit different existing technologies. This collection of assumptionsand technologies is labeled the `AGILE Paradigm'. The two main building blocks of this paradigm are theCollaborative Architectureand theKnowledge Architecture. In essence,these building blocks aim to support large, heterogeneous teams of experts in performingcollaborative development in a streamlined and time-effective way. This paper has a focuson the definition of the Knowledge Architecture (KA) as a general conceptual framework which is independent of the aircraft-specific application in AGILE. The KA can be appliedto perform collaborative automated design in large, heterogeneous teams for any complexsystem (e.g. aircraft, automobiles, wind farms). The KA is structured with a multi-levelbackbone: Development Process layer, Automated Design layer, Design Competence layer.A fourth transverse layer impacting all other layers is the Data & Schemas layer. Eachlayer has its own set of assumptions and technologies, but more importantly, interfacesbetween the levels have to be created in order to have a fully interconnected developmentprocess from each design competence up to the top-level business process. The hierarchicallevels and interfaces are described in this paper as a generalized paradigm. In addition,four support platforms of the KA in the AGILE project are described in more detail:the development process environment, graph-based support in the design problem formulation, visualization of large, complex automated design processes, and design conceptsformalizations. Finally, a use case from the AGILE project is mapped on this paradigm todemonstrate the use of the KA and its support platforms in a realistic design case.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

The AGILE project is developing the next generation of development processes, anddeploying a collaborative MDO design system, called the AGILE development framework(ADF). Naturally, such a system contains a lot of implicit assumptions on how things shouldbe done and how to exploit different existing technologies. This collection of assumptionsand technologies is labeled the `AGILE Paradigm'. The two main building blocks of this paradigm are theCollaborative Architectureand theKnowledge Architecture. In essence,these building blocks aim to support large, heterogeneous teams of experts in performingcollaborative development in a streamlined and time-effective way. This paper has a focuson the definition of the Knowledge Architecture (KA) as a general conceptual framework which is independent of the aircraft-specific application in AGILE. The KA can be appliedto perform collaborative automated design in large, heterogeneous teams for any complexsystem (e.g. aircraft, automobiles, wind farms). The KA is structured with a multi-levelbackbone: Development Process layer, Automated Design layer, Design Competence layer.A fourth transverse layer impacting all other layers is the Data & Schemas layer. Eachlayer has its own set of assumptions and technologies, but more importantly, interfacesbetween the levels have to be created in order to have a fully interconnected developmentprocess from each design competence up to the top-level business process. The hierarchicallevels and interfaces are described in this paper as a generalized paradigm. In addition,four support platforms of the KA in the AGILE project are described in more detail:the development process environment, graph-based support in the design problem formulation, visualization of large, complex automated design processes, and design conceptsformalizations. Finally, a use case from the AGILE project is mapped on this paradigm todemonstrate the use of the KA and its support platforms in a realistic design case.

Lefebvre, T; Bartoli, N; Dubreuil, S; Panzeri, M; Lombardi, R; D'Ippolito, R; Della Vecchia, P; Nicolosi, F; Ciampa, P D; Anisimov, K; Savelyev, A

Methodological enhancements in the MDO process investigated in the AGILE project. Conference

AIAA Paper 2017-4140 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

Daoud, F

Aeroelastic Shape and Sizing Optimization of Aircraft Products supported by AGILE Design Paradigm. Conference

AIAA Paper 2017-4141 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Daoud2017_98 ,
title = {Aeroelastic Shape and Sizing Optimization of Aircraft Products supported by AGILE Design Paradigm.},
author = {F. Daoud},
url = {https://www.agile-project.eu/cloud/index.php/s/UnQsEYOyo5yqrWJ},
year = {2017},
date = {2017-06-01},
volume = {AIAA Paper 2017-4141},
address = {Denver, USA},
organization = {AIAA Aviation 2017 ,},
abstract = {Aircraft, and in particular military aircraft, are complex systems and the demand for high-performance flying platforms is constantly growing both for civil and military purposes. The development of aircraft is inherently multidisciplinary and the exploitation of the interaction between the disciplines driving the design opens the door for new (unconventional) aircraft designs, and consequently, for novel aircraft having increased performance. An important feature of modern aircraft development processes and procedures is to enable the engineers accessing complex design spaces also in the conceptual design phase in which key configuration decisions are made and frozen for later development phases. Pushing more MDO and numerical analysis capabilities into the early design phase will support the decision-making process through reliable physical information. It is worth mentioning that these design spaces are very large and can hardly be grasped and explored by humans without a structured approach and massive support of numerical analysis methods. The challenge is even larger when specialized competences are provided by several multidisciplinary teams that are distributed among different organizations. One one side there is the challenge to exchange consistent sets of data among automated simulation sub-processes. On another side there is the challenge of a coherent interpretation and understanding of the data generated. The first challenge is typically related to the lack of a collaborative platform connecting inter-organizations legacy processes. The second challenge is due to a lack of a common knowledge formalization through all the elements of the product development (disciplinary, process, development phases related). Many of the mentioned collaborative development challenges are addressed by AGILE (Aircraft 3rd Generation MDO for Innovative Collaboration of Heterogeneous Teams of Experts) [1], an EU H2020 funded research project coordinated by the German Aerospace Center (DLR). Within the AGILE project multiple use cases (aircraft designs) and MDO scenarios are formulated. This paper highlights the proper setup of industrial large scale optimisation elaborating the transition from aircraft to airframe level. Focus is on the transition from the conceptual aircraft solution to the detailed airframe design, based on a variable fidelity formulation for the disciplines involved in the exploration and optimization process. Section 2 at first summarizes the AGILE project and the overall methodology under development. Section 3 presents the aeroelastic use case and the main components integrated into the process. The final section presents the conclusion and provides an outlook on future developments.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Aircraft, and in particular military aircraft, are complex systems and the demand for high-performance flying platforms is constantly growing both for civil and military purposes. The development of aircraft is inherently multidisciplinary and the exploitation of the interaction between the disciplines driving the design opens the door for new (unconventional) aircraft designs, and consequently, for novel aircraft having increased performance. An important feature of modern aircraft development processes and procedures is to enable the engineers accessing complex design spaces also in the conceptual design phase in which key configuration decisions are made and frozen for later development phases. Pushing more MDO and numerical analysis capabilities into the early design phase will support the decision-making process through reliable physical information. It is worth mentioning that these design spaces are very large and can hardly be grasped and explored by humans without a structured approach and massive support of numerical analysis methods. The challenge is even larger when specialized competences are provided by several multidisciplinary teams that are distributed among different organizations. One one side there is the challenge to exchange consistent sets of data among automated simulation sub-processes. On another side there is the challenge of a coherent interpretation and understanding of the data generated. The first challenge is typically related to the lack of a collaborative platform connecting inter-organizations legacy processes. The second challenge is due to a lack of a common knowledge formalization through all the elements of the product development (disciplinary, process, development phases related). Many of the mentioned collaborative development challenges are addressed by AGILE (Aircraft 3rd Generation MDO for Innovative Collaboration of Heterogeneous Teams of Experts) [1], an EU H2020 funded research project coordinated by the German Aerospace Center (DLR). Within the AGILE project multiple use cases (aircraft designs) and MDO scenarios are formulated. This paper highlights the proper setup of industrial large scale optimisation elaborating the transition from aircraft to airframe level. Focus is on the transition from the conceptual aircraft solution to the detailed airframe design, based on a variable fidelity formulation for the disciplines involved in the exploration and optimization process. Section 2 at first summarizes the AGILE project and the overall methodology under development. Section 3 presents the aeroelastic use case and the main components integrated into the process. The final section presents the conclusion and provides an outlook on future developments.

Prakasha, P S; Ciampa, P D; Boggero, L; Fioriti, M; Aigner, B; Mirzoyan, A; Isyanov, A; Anisimov, K; Kursakov, I; Savelyev, A

Collaborative System of Systems Multidisciplinary Design Optimization for Civil Aircraft : AGILE EU project. Conference

AIAA Paper 2017-4142 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Prakasha2017_108 ,
title = {Collaborative System of Systems Multidisciplinary Design Optimization for Civil Aircraft : AGILE EU project.},
author = {P.S. Prakasha and P.D. Ciampa and L. Boggero and M. Fioriti and B. Aigner and A. Mirzoyan and A. Isyanov and K. Anisimov and I. Kursakov and A. Savelyev},
url = {https://www.agile-project.eu/cloud/index.php/s/0Ff2oOnH6DYjy55},
year = {2017},
date = {2017-06-01},
volume = {AIAA Paper 2017-4142},
address = {Denver, USA},
organization = {AIAA Aviation 2017 ,},
abstract = {As part of H2020 EU project “AGILE”, A Collaborative System of Systems Multidisciplinary Design Optimization research approach is presented in this paper. This approach relies on physics-based analysis to evaluate the correlations between the airframe design, as well as propulsion, aircraft systems, aerodynamics, structures and emission, from the early design process, and to exploit the synergies within a simultaneous optimization process. Further, the disciplinary analysis modules from multiple organizations, involved in the optimization are integrated within a distributed framework. The disciplinary analysis tools are not shared, but only the data are distributed among partners through a secured network of framework. In order to enable and to accelerate the deployment of collaborative, large scale design and optimization frameworks, the “AGILE Paradigm”, a novel methodology, has been formulated during the project. The main elements composing the AGILE Paradigm are the Knowledge Architecture (KA), and the Collaborative Architecture (CA). The first formalizes the overall product development process in a multi-level structure. The latter formalizes the collaborative process within the entire supply chain, and defines how the multiple stakeholders interact with each other.The current paper is focused on the application of using the AGILE Paradigm to solve system of stystems MDO on a regional jet transport aircraft. The focus of the current research paper is: 1) Creation of a system of systems frame work using AGILE Paradigm to support multi-disciplinary distributive analysis capability. The framework involves physics based modules such as : Airframe synthesis, aerodynamics, structures, aircraft systems, propulsion system design, nacelle design, nacelle airframe integration, aircraft mission simulation, costs and emissions. 2) Validate the frame work with case study of a regional jet reference aircraft. 3) Assess the sensitivity and coupling of design parameters, local disciplinary optimizataion and its effect on global optimization objectives or constraints. The effects of varying Bypass Ratio (BPR) of engine, offtake effects due to degree of electrification and nacelle effects are propagated through the AGILE MDO framework and presented.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

As part of H2020 EU project “AGILE”, A Collaborative System of Systems Multidisciplinary Design Optimization research approach is presented in this paper. This approach relies on physics-based analysis to evaluate the correlations between the airframe design, as well as propulsion, aircraft systems, aerodynamics, structures and emission, from the early design process, and to exploit the synergies within a simultaneous optimization process. Further, the disciplinary analysis modules from multiple organizations, involved in the optimization are integrated within a distributed framework. The disciplinary analysis tools are not shared, but only the data are distributed among partners through a secured network of framework. In order to enable and to accelerate the deployment of collaborative, large scale design and optimization frameworks, the “AGILE Paradigm”, a novel methodology, has been formulated during the project. The main elements composing the AGILE Paradigm are the Knowledge Architecture (KA), and the Collaborative Architecture (CA). The first formalizes the overall product development process in a multi-level structure. The latter formalizes the collaborative process within the entire supply chain, and defines how the multiple stakeholders interact with each other.The current paper is focused on the application of using the AGILE Paradigm to solve system of stystems MDO on a regional jet transport aircraft. The focus of the current research paper is: 1) Creation of a system of systems frame work using AGILE Paradigm to support multi-disciplinary distributive analysis capability. The framework involves physics based modules such as : Airframe synthesis, aerodynamics, structures, aircraft systems, propulsion system design, nacelle design, nacelle airframe integration, aircraft mission simulation, costs and emissions. 2) Validate the frame work with case study of a regional jet reference aircraft. 3) Assess the sensitivity and coupling of design parameters, local disciplinary optimizataion and its effect on global optimization objectives or constraints. The effects of varying Bypass Ratio (BPR) of engine, offtake effects due to degree of electrification and nacelle effects are propagated through the AGILE MDO framework and presented.

Keye, S; Klimmek, T; Abu-Zurayk, M; Schulze, M; Ilic, C

Aero-Structural Optimization of the NASA Common Research Model. Conference

AIAA Paper 2017-4145 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

Della Vecchia, P; Stingo, L; Corcione, S; Ciliberti, D; Nicolosi, F; De Marco, A; Nardone, G

Game theory and evolutionary algorithms applied to MDO in the AGILE European project. Conference

AIAA Paper 2017-4330 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Della2017_85 ,
title = {Game theory and evolutionary algorithms applied to MDO in the AGILE European project.},
author = {P. {Della Vecchia} and L. Stingo and S. Corcione and D. Ciliberti and F. Nicolosi and A. {De Marco} and G. Nardone},
url = {https://www.agile-project.eu/cloud/index.php/s/asZHNrrLwI0Xum6},
year = {2017},
date = {2017-06-01},
volume = {AIAA Paper 2017-4330},
address = {Denver, USA},
organization = {AIAA Aviation 2017 ,},
abstract = {In this paper, an optimization technique in aircraft design field, based on game theory and evolutionary algorithms to define the key variables for Multi-Disciplinary aircraft Optimization (MDO) into AGILE (Aircraft 3rd Generation MDO for Innovative Collaboration of Heterogeneous Teams of Experts) European project, is presented. This work represents one of the contributions given by UniNa (University of Naples “Federico II”) research group within the AGILE project, which is coordinated by the DLR and funded by EU through the project HORIZON 2020 that aims to create an evolution of MDO, promoting a novel approach based on collaborative remote design and knowledge dissemination among various teams of experts. Since the aircraft design field is very complex in terms of number of involved variables and the dimension of the space of variation, it is not feasible to perform an optimization process on all the design parameters; this leads to the need to reduce the number of the parameters to the most significant ones. A multi-objective optimization approach allows many different variables, which could be a constraint or an objective function for the specific investigation; thus, setting the constraints and objectives to reach, it is possible to perform an optimization process and control which parameters significantly affect the final result. Within AGILE project, UniNa research group aims to perform wing optimization processes in a preliminary design stage, coupling Nash game theory (N) with typical genetic evolutionary algorithm (GA), reducing computational time and allowing a more realistic association among objective functions and variables, to identify the main ones that significantly affect final result and that consequently must be considered by the partners of the AGILE consortium to perform MDO in the final part of project, applying the proposed optimization technique to novel aircraft configuration.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Bartoli, N; Lefebvre, T; Bons, N; Martins, J; Morlie, J

An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization. Conference

AIAA Paper 2017-4433 , AIAA Aviation 2017 , Denver, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Bartoli2017_103 ,
title = {An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization.},
author = {N. Bartoli and T. Lefebvre and N. Bons and J. Martins and J. Morlie},
url = {https://www.agile-project.eu/cloud/index.php/s/KQf19CycLjXDRdl},
year = {2017},
date = {2017-06-01},
volume = {AIAA Paper 2017-4433},
address = {Denver, USA},
organization = {AIAA Aviation 2017 ,},
abstract = {In the _x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_field of aircraft design, the last few decades have focused on the iterative improve-ment of conventional tube-and-wing designs to reduce cost, noise, and emission. Never-theless, the growing expectation in terms of environment impact for the next generationof aircraft pushes for more radical changes in the design. For unconventional aircraft con-_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_gurations, the need to integrate more accurate data coming from higher _x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_delity analysisearlier in the design process becomes more and more necessary. However, high-_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_delity toolsrequire long computation times and usually are associated with high-dimensional problems,both in terms of design variables and constraints. Therefore, these optimizations are oftendone at higher computational cost (gradient-based algorithms) in order to decrease thenumber of necessary function evaluations. In addition, the use of the adjoint method isoften implemented to accurately and e_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000e_ciently compute derivatives for large numbers ofdesign variables. At the same time, new methods have been investigated to obtain opti-mized con_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_gurations at a reasonable computational cost. The work presented in this paperfocuses on SEGOMOE algorithm, a solution to tackle this kind of optimization processof complex design problem through the use of an enrichment strategy approach based onmixture of experts surrogate models. Two aerodynamic shape optimization test cases, de-rived from cases developed by the Aerodynamic Design and Optimization Discussion Group(ADODG) are addressed: one with a single global minimum, and another one with severallocal minima. Both problems are nonlinearly constrained problems that involve a largenumber of design variables. Results are compared to gradient-based optimizers. A hybridapproach combining the advantages of both SEGOMOE and gradient-based optimizationis proposed and evaluated to reduce the number of function evaluations and to ensure theconvergence to the global optimum.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

In the _x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_field of aircraft design, the last few decades have focused on the iterative improve-ment of conventional tube-and-wing designs to reduce cost, noise, and emission. Never-theless, the growing expectation in terms of environment impact for the next generationof aircraft pushes for more radical changes in the design. For unconventional aircraft con-_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_gurations, the need to integrate more accurate data coming from higher _x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_delity analysisearlier in the design process becomes more and more necessary. However, high-_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_delity toolsrequire long computation times and usually are associated with high-dimensional problems,both in terms of design variables and constraints. Therefore, these optimizations are oftendone at higher computational cost (gradient-based algorithms) in order to decrease thenumber of necessary function evaluations. In addition, the use of the adjoint method isoften implemented to accurately and e_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000e_ciently compute derivatives for large numbers ofdesign variables. At the same time, new methods have been investigated to obtain opti-mized con_x005F_x005F_x005F_x005F_x005F_x005F_x005F_x000c_gurations at a reasonable computational cost. The work presented in this paperfocuses on SEGOMOE algorithm, a solution to tackle this kind of optimization processof complex design problem through the use of an enrichment strategy approach based onmixture of experts surrogate models. Two aerodynamic shape optimization test cases, de-rived from cases developed by the Aerodynamic Design and Optimization Discussion Group(ADODG) are addressed: one with a single global minimum, and another one with severallocal minima. Both problems are nonlinearly constrained problems that involve a largenumber of design variables. Results are compared to gradient-based optimizers. A hybridapproach combining the advantages of both SEGOMOE and gradient-based optimizationis proposed and evaluated to reduce the number of function evaluations and to ensure theconvergence to the global optimum.

Gu, X; Prakasha, P S; Ciampa, P D; Anisimov, K; Savelyev, A

An Application of Airframe Engine Integrated Optimization in Distributed Overall Aircraft Design Framework. Conference

AIAA Paper 2017-4438 , AIAA Aviation 2017 , Denver, USA, 2017.

Links | BibTeX | Tags:

Dubreuil, S; Gogu, C; Bartoli, N; Lefebvre, T

Adaptive random field discretization for optimization under uncertainties. Conference

WCSMO12 , Braunschweig, Germany, 2017.

Links | BibTeX | Tags:

Daoud, F; Dornwald, J; Ernstberger, P; Frantzen, H P; Maier, R; Deinert, S; Petersen, O

High-Performance Aircraft Through Innovative Development Process and Methods. Conference

AIAA SciTech 2017 , Grapevine, USA, 2017.

Abstract | Links | BibTeX | Tags:

@conference{ Daoud2017_77 ,
title = {High-Performance Aircraft Through Innovative Development Process and Methods.},
author = {F. Daoud and J. Dornwald and P. Ernstberger and H.P. Frantzen and R. Maier and S. Deinert and O. Petersen},
url = {https://www.agile-project.eu/cloud/index.php/s/kCnL2Dvb4VUeBGI},
year = {2017},
date = {2017-01-01},
address = {Grapevine, USA},
organization = {AIAA SciTech 2017 ,},
abstract = {Aircraft, generally, and military aircraft in particular are complex systems and the demand for high-performance flying platforms is constantly growing regardless whether for civil or military purposes. The development of aircraft is inherently multidisciplinary and the exploitation of the interaction of the design-driving disciplines opens the door for new designs, and consequently, for new high-performance aircraft [1]. An important feature of modern aircraft development processes and procedures is to enable the engineers accessing these design spaces in the concept phase, where the key configuration decisions are made and frozen for later development phases. Furthermore, pushing more MDO and numerical analysis capabilities into the early design phase will support the decision-making process through reliable physical information. It is worth mentioning that these design spaces are very large and can hardly be grasped and explored by humans without a structured approach and massive support of numerical analysis methods. To this end, Airbus Defence and Space - Military Aircraft - established - in collaboration with universities and research institutes [2] [3] - an integrated multidisciplinary aircraft development process, based on flexible parametric geometry models connected to an innovative decentralized MDO platform. This radically different aircraft development process links the conceptual design phase to the preliminary and definition phase fulfilling following requirements addressed by repeatedly conducted technical gap analysis (see Figure 1): 1) Enable intermediate level analysis (fast and accurate methods), 2) Ensure model continuity through flexible parametric geometry models growing in fidelity over the development phases, 3) Enable fast analysis model generation, pushing more numerical analysis into the aircraft configuration assessment in the very early development phase, 3) Data continuity through using central multidisciplinary database over the complete Conceptual and Preliminary Design.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}

Aircraft, generally, and military aircraft in particular are complex systems and the demand for high-performance flying platforms is constantly growing regardless whether for civil or military purposes. The development of aircraft is inherently multidisciplinary and the exploitation of the interaction of the design-driving disciplines opens the door for new designs, and consequently, for new high-performance aircraft [1]. An important feature of modern aircraft development processes and procedures is to enable the engineers accessing these design spaces in the concept phase, where the key configuration decisions are made and frozen for later development phases. Furthermore, pushing more MDO and numerical analysis capabilities into the early design phase will support the decision-making process through reliable physical information. It is worth mentioning that these design spaces are very large and can hardly be grasped and explored by humans without a structured approach and massive support of numerical analysis methods. To this end, Airbus Defence and Space - Military Aircraft - established - in collaboration with universities and research institutes [2] [3] - an integrated multidisciplinary aircraft development process, based on flexible parametric geometry models connected to an innovative decentralized MDO platform. This radically different aircraft development process links the conceptual design phase to the preliminary and definition phase fulfilling following requirements addressed by repeatedly conducted technical gap analysis (see Figure 1): 1) Enable intermediate level analysis (fast and accurate methods), 2) Ensure model continuity through flexible parametric geometry models growing in fidelity over the development phases, 3) Enable fast analysis model generation, pushing more numerical analysis into the aircraft configuration assessment in the very early development phase, 3) Data continuity through using central multidisciplinary database over the complete Conceptual and Preliminary Design.

Gastaldi, Alessandro

Development of a Double-Lattice Method Program for Aeroelastic Analysis in Conceptual Aircraft Design. Masters Thesis

EPFL – CFS Engineering, 2017.

Links | BibTeX | Tags: