2016
Jungo, A.; Vos, J. B.; Zhang, M.; Rizzi, A.
Benchmarkig New CEASIOM with CPACS Adoption for Aerodynamic Analysis and Flight Simulation. Conference
6th SCAD & READ Workshop , Warsaw, Poland, 2016.
@conference{ Jungo2016_91 ,
title = {Benchmarkig New CEASIOM with CPACS Adoption for Aerodynamic Analysis and Flight Simulation.},
author = {A. Jungo and J.B. Vos and M. Zhang and A. Rizzi},
url = {https://www.agile4.eu/cloud/index.php/s/TYoyeWZQCB26mab},
year = {2016},
date = {2016-09-01},
address = {Warsaw, Poland},
organization = {6th SCAD & READ Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Timmermans, H.; Prananta, B.
Aeroelastic Challenges in the Aircraft Design Process. Conference
6th SCAD & READ Workshop , Warsaw, Poland, 2016.
@conference{ Timmermans2016_54 ,
title = {Aeroelastic Challenges in the Aircraft Design Process.},
author = {H. Timmermans and B. Prananta},
url = {https://www.agile4.eu/cloud/index.php/s/QBPBrW8RCgtSSZp},
year = {2016},
date = {2016-09-01},
address = {Warsaw, Poland},
organization = {6th SCAD & READ Workshop ,},
abstract = {Aeroelastic effects influence the aircraft design process at many points. One of the most important constraints within the design process of flexible aircraft is to avoid aeroelastic instabilityfor all combinationsof speed and altitude encompassed by the flight envelope.This constraint affectsboththe structural design andthe aerodynamic design,impacting the calculated aircraft performance. Aeroelastic effects also include the estimation of initial design loadsused as input in order to size the components and are therefore critical for the aircraft design process. However, during initial design stages, not all parameters that are required to perform correct loads or aeroelastic instability analyses are available. This lack of informationon the aeroelastic effectsimposes technical and financial risks both for the suppliers as well as the Original Equipment Manufacturer (OEM). It is therefore of significant importance to understand the aeroelastic behaviourof the aircraft concept during all design phases and to avoid major changes in the detailed design phase which bring along additionalcosts. This holds true both for the design of next generation aircraft concepts, for example strut-braced wings with increasedwing’s slenderness, as well as newlydesigned conventional aircraft components.The latter is often a major challenge for tier one and two suppliers that do not have anoverview of the total aircraft system which is needed to understand the aeroelastic behaviour. Their component optimization process affects the aeroelastic behaviourof the entire aircraft system and is therefore critical when included in the overall design. This paper discusses a methodology developed by the Netherlands Aerospace Centre (NLR) to estimate design loadsand access the aeroelastic instabilityon aerodynamic aircraft components with different levels of fidelity anddifferent turnaround times. This methodology mitigates the risk of ‘invalid’ designs and large changes in the nextdesign phases and thereby avoidslarge modifications and additional costs.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Aeroelastic effects influence the aircraft design process at many points. One of the most important constraints within the design process of flexible aircraft is to avoid aeroelastic instabilityfor all combinationsof speed and altitude encompassed by the flight envelope.This constraint affectsboththe structural design andthe aerodynamic design,impacting the calculated aircraft performance. Aeroelastic effects also include the estimation of initial design loadsused as input in order to size the components and are therefore critical for the aircraft design process. However, during initial design stages, not all parameters that are required to perform correct loads or aeroelastic instability analyses are available. This lack of informationon the aeroelastic effectsimposes technical and financial risks both for the suppliers as well as the Original Equipment Manufacturer (OEM). It is therefore of significant importance to understand the aeroelastic behaviourof the aircraft concept during all design phases and to avoid major changes in the detailed design phase which bring along additionalcosts. This holds true both for the design of next generation aircraft concepts, for example strut-braced wings with increasedwing’s slenderness, as well as newlydesigned conventional aircraft components.The latter is often a major challenge for tier one and two suppliers that do not have anoverview of the total aircraft system which is needed to understand the aeroelastic behaviour. Their component optimization process affects the aeroelastic behaviourof the entire aircraft system and is therefore critical when included in the overall design. This paper discusses a methodology developed by the Netherlands Aerospace Centre (NLR) to estimate design loadsand access the aeroelastic instabilityon aerodynamic aircraft components with different levels of fidelity anddifferent turnaround times. This methodology mitigates the risk of ‘invalid’ designs and large changes in the nextdesign phases and thereby avoidslarge modifications and additional costs.
Fioriti, M.; Boggero, L.; Corpino, S.
Preliminary Sub-Systems Design Integrated in an MDO Framework. Conference
6th SCAD & READ Workshop , Warsaw, Poland, 2016.
@conference{ Fioriti2016_62 ,
title = {Preliminary Sub-Systems Design Integrated in an MDO Framework.},
author = {M. Fioriti and L. Boggero and S. Corpino},
url = {https://www.agile4.eu/cloud/index.php/s/7GfX42DTEkMDd36},
year = {2016},
date = {2016-09-01},
address = {Warsaw, Poland},
organization = {6th SCAD & READ Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Fioriti, M.; Boggero, L.; Corpino, S.
Systems driven aircraft designResearch activities at PoliTo. Conference
6th SCAD & READ Workshop , Warsaw, Poland, 2016.
@conference{ Fioriti2016_60 ,
title = {Systems driven aircraft designResearch activities at PoliTo.},
author = {M. Fioriti and L. Boggero and S. Corpino},
url = {https://www.agile4.eu/cloud/index.php/s/rrXbjg8EizMyApg},
year = {2016},
date = {2016-09-01},
address = {Warsaw, Poland},
organization = {6th SCAD & READ Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Stingo, L.; Nardone, G.
Development of an Innovative Collaborative Framework for Aircraft Design. Conference
6th SCAD & READ Workshop , Warsaw, Poland, 2016.
@conference{ Stingo2016_73 b,
title = {Development of an Innovative Collaborative Framework for Aircraft Design.},
author = {L. Stingo and G. Nardone},
url = {https://www.agile4.eu/cloud/index.php/s/4RR3DBDbtgbt67z},
year = {2016},
date = {2016-09-01},
address = {Warsaw, Poland},
organization = {6th SCAD & READ Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Anisimov, K.; Savelyev, A.
Aerodynamic Optimization of Airplane Propulsion Systme within the Framework of the Agile Project. Conference
30th ICAS , Daejeon, Korea, 2016.
@conference{ Anisimov2016_97 ,
title = {Aerodynamic Optimization of Airplane Propulsion Systme within the Framework of the Agile Project.},
author = {K. Anisimov and A. Savelyev},
url = {https://www.agile4.eu/cloud/index.php/s/fEcdnATqCnWcpaB},
year = {2016},
date = {2016-09-01},
address = {Daejeon, Korea},
organization = {30th ICAS ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Ciampa, P. D.; Nagel, B.
Towards the 3rd Generation MDO Collaborative Environment. Conference
30th ICAS , Daejeon, Korea, 2016.
@conference{ Ciampa2016_57 ,
title = {Towards the 3rd Generation MDO Collaborative Environment.},
author = {P.D. Ciampa and B. Nagel},
url = {https://www.agile4.eu/cloud/index.php/s/kpMAHcEG78B2b4Y},
year = {2016},
date = {2016-09-01},
address = {Daejeon, Korea},
organization = {30th ICAS ,},
abstract = {The current work introduces theresearch activities in the field of MDOin overall aircraft design at DLR, and introduces theongoingEU funded research project AGILE. AGILEis developing the next generation of aircraft Multidisciplinary Design and Optimization processes, which target significant reductions in aircraft development costs and time to market, leading to cheaper and greener aircraft solutions.The paper presents the backgroundandthe needsidentifiedfor the next generation of MDOcollaborative environmentin aircraft design, with focus on the formalization aspects. Theaddressedopen challengesarealso behind the formulation of AGILE project’s objectives.TheAGILEproject structure is briefly introduced},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The current work introduces theresearch activities in the field of MDOin overall aircraft design at DLR, and introduces theongoingEU funded research project AGILE. AGILEis developing the next generation of aircraft Multidisciplinary Design and Optimization processes, which target significant reductions in aircraft development costs and time to market, leading to cheaper and greener aircraft solutions.The paper presents the backgroundandthe needsidentifiedfor the next generation of MDOcollaborative environmentin aircraft design, with focus on the formalization aspects. Theaddressedopen challengesarealso behind the formulation of AGILE project’s objectives.TheAGILEproject structure is briefly introduced
Prakasha, P. S.; Ciampa, P. D.; Nagel, B.; Boggero, L.; Fioriti, M.
Collaborative Systems Driven Aircraft Configuration Design Optimization. Conference
30th ICAS , Daejeon, Korea, 2016.
@conference{ Prakasha2016_72 ,
title = {Collaborative Systems Driven Aircraft Configuration Design Optimization.},
author = {P.S. Prakasha and P.D. Ciampa and B. Nagel and L. Boggero and M. Fioriti},
url = {https://www.agile4.eu/cloud/index.php/s/gRciiWikMsRwgNd},
year = {2016},
date = {2016-09-01},
address = {Daejeon, Korea},
organization = {30th ICAS ,},
abstract = {A Collaborative,Inside-Out Aircraft Design approach is presented in this paper. An approach using physics based analysis to evaluate the correlations between the airframe design, as well assub-systems integration from the early design process, and to exploit the synergies within a simultaneous optimization process. Further, the disciplinary analysis modules involved in the optimization task are located in different organization. Hence, the Airframe and Subsystem design tools are integrated within a distributed overall aircraft synthesis process. The collaborative design process is implemented by making use of DLR’s engineering framework RCE. XML based central data format CPACS is the basis of communication within RCE to exchange model information between the analysis modules and between the partner organizations involved in the research activity. As a use case to evaluate the presented collaborative design method, an unmanned Medium Altitude Long Endurance (MALE) configuration is selected. Moreelectric sub-systems combinations are considered. The deployed framework simultaneously optimizes the airframe along with the sub-systems. DLR’s preliminary aircraft design environment is used for the airframe synthesis, and the Sub-systems design is performed by the ASTRID tool developed atPolitecnico di Torino. The resulting aircraft and systems characteristics are used to assess the mission performance and optimization.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
A Collaborative,Inside-Out Aircraft Design approach is presented in this paper. An approach using physics based analysis to evaluate the correlations between the airframe design, as well assub-systems integration from the early design process, and to exploit the synergies within a simultaneous optimization process. Further, the disciplinary analysis modules involved in the optimization task are located in different organization. Hence, the Airframe and Subsystem design tools are integrated within a distributed overall aircraft synthesis process. The collaborative design process is implemented by making use of DLR’s engineering framework RCE. XML based central data format CPACS is the basis of communication within RCE to exchange model information between the analysis modules and between the partner organizations involved in the research activity. As a use case to evaluate the presented collaborative design method, an unmanned Medium Altitude Long Endurance (MALE) configuration is selected. Moreelectric sub-systems combinations are considered. The deployed framework simultaneously optimizes the airframe along with the sub-systems. DLR’s preliminary aircraft design environment is used for the airframe synthesis, and the Sub-systems design is performed by the ASTRID tool developed atPolitecnico di Torino. The resulting aircraft and systems characteristics are used to assess the mission performance and optimization.
Cooper, D.
Pyndl: Increasing Classical KBE’s Reach with a Python-Gendl Bridge. Conference
Advance Design Concepts and Practice Workshop 2016 , Columbia, USA, 2016.
@conference{ Cooper2016_67 ,
title = {Pyndl: Increasing Classical KBE’s Reach with a Python-Gendl Bridge.},
author = {D. Cooper},
url = {https://www.agile4.eu/cloud/index.php/s/Jmp5x8XHSjwkQF6},
year = {2016},
date = {2016-08-01},
address = {Columbia, USA},
organization = {Advance Design Concepts and Practice Workshop 2016 ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Dubreuil, S.; Bartoli, N.; Gogu, C.; Lefebvre, T.
ECCOMAS Congress 2016 , Crete Island, Greece, 2016.
@conference{ Dubreuil2016_115 ,
title = {Multidisciplinary optimization by surrogate models: handling epistemic uncertainties by polynomial chaos expansion.},
author = {S. Dubreuil and N. Bartoli and C. Gogu and T. Lefebvre},
url = {https://www.agile4.eu/cloud/index.php/s/wfmJRs7tgNzXGRF},
year = {2016},
date = {2016-06-01},
address = {Crete Island, Greece},
organization = {ECCOMAS Congress 2016 ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Savelyev, A.; Anisimov, K.; Kazhan, E.; Kursakov, I.; Lysenkov, A.
18th ICMAR , Perm, Russia, 2016.
@conference{ Savelyev2016_106 ,
title = {Computational Study of Engine External Aerodynamics as a part of Multidisciplinary Optimization Procedure.},
author = {A. Savelyev and K. Anisimov and E. Kazhan and I. Kursakov and A. Lysenkov},
url = {https://www.agile4.eu/cloud/index.php/s/FkaQASJkLHHQ3yR},
year = {2016},
date = {2016-06-01},
address = {Perm, Russia},
organization = {18th ICMAR ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Stingo, Luca
Development of an innovative collaborative framework for aircraft design. Masters Thesis
University of Naples « Federico II », 2016.
@mastersthesis{ Stingo2016_73 b,
title = {Development of an innovative collaborative framework for aircraft design.},
author = {Luca Stingo},
url = {https://www.agile4.eu/cloud/index.php/s/xrARWHJrn8Q28yw},
year = {2016},
date = {2016-01-01},
school = {University of Naples « Federico II »},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Nardone, Giovanni
Development and integration of aircraft design tools for AGILE European project. Masters Thesis
University of Naples « Federico II », 2016.
@mastersthesis{ Nardone2016_80 ,
title = {Development and integration of aircraft design tools for AGILE European project.},
author = {Giovanni Nardone},
url = {https://www.agile4.eu/cloud/index.php/s/B3EYHFLbiCz2mZ6},
year = {2016},
date = {2016-01-01},
school = {University of Naples « Federico II »},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Lapira, Emanuele
Polytechnico di Torino, 2016.
@mastersthesis{ Lapira2016_159 ,
title = {Development of methodologies for the preliminary design of “More Electric” on-board systems and studies of their effects on aircraft innovative configurations.},
author = {Emanuele Lapira},
url = {https://www.agile4.eu/cloud/index.php/s/7aT673d9gKKANLY},
year = {2016},
date = {2016-01-01},
school = {Polytechnico di Torino},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Lambers, A. C.
Development of surrogate-based multidisciplinary optimization methodology with flutter constraints for aircraft conceptual design. Masters Thesis
TU Delft – NLR, 2016.
@mastersthesis{ Lambers2016_130 ,
title = {Development of surrogate-based multidisciplinary optimization methodology with flutter constraints for aircraft conceptual design.},
author = {A.C. Lambers},
url = {https://www.agile4.eu/cloud/index.php/s/CWePAi58q7ttD6x},
year = {2016},
date = {2016-01-01},
volume = {NLR-TR-2016-339},
school = {TU Delft – NLR},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
2015
Rizzi, A.; Zhang, M.
5th SCAD Workshop , Naples,Italy, 2015.
@conference{ Rizzi2015_127 ,
title = {Recent Advances in Variable Fidelity MDO Framework for Collaborative & Integrated Aircraft Configuration Development – CEASIOM.},
author = {A. Rizzi and M. Zhang},
url = {https://www.agile4.eu/cloud/index.php/s/PAk8Zq5x67gx4TA},
year = {2015},
date = {2015-10-01},
address = {Naples,Italy},
organization = {5th SCAD Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Fioriti, M.; Boggero, L.
ASTRID - Aircraft on board Systems sizing and TRade-off analysis in Initial Design. Conference
5th SCAD Workshop , Naples,Italy, 2015.
@conference{ Fioriti2015_83 ,
title = {ASTRID - Aircraft on board Systems sizing and TRade-off analysis in Initial Design.},
author = {M. Fioriti and L. Boggero},
url = {https://www.agile4.eu/cloud/index.php/s/GctAZ4ZNbk7bxjy},
year = {2015},
date = {2015-10-01},
address = {Naples,Italy},
organization = {5th SCAD Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Vecchia, P. Della
Challenges for new Regional Turboprop Configuration. Conference
5th SCAD Workshop , Naples,Italy, 2015.
@conference{ Della2015_52 ,
title = {Challenges for new Regional Turboprop Configuration.},
author = {P. {Della Vecchia}},
url = {https://www.agile4.eu/cloud/index.php/s/824WToJfSape2is},
year = {2015},
date = {2015-10-01},
address = {Naples,Italy},
organization = {5th SCAD Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Marco, A. De
5th SCAD Workshop , Naples,Italy, 2015.
@conference{ De2015_103 ,
title = {A Java Framework for Aircraft Design, Software Engineering best practices applied to aerospace science.},
author = {A. {De Marco}},
url = {https://www.agile4.eu/cloud/index.php/s/KoyiTDkMXNWCMLx},
year = {2015},
date = {2015-10-01},
address = {Naples,Italy},
organization = {5th SCAD Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Fioriti, M.; Viola, N.; Fusaro, R.; Boggero, L.
12th EWADE Workshop , Delft, Netherland, 2015.
@conference{ Fioriti2015_111 ,
title = {Academic course in aircraft conceptual design and on-board systems preliminary design at Politecnico di Torino.},
author = {M. Fioriti and N. Viola and R. Fusaro and L. Boggero},
url = {https://www.agile4.eu/cloud/index.php/s/zrYr7jW3kNa6Rwc},
year = {2015},
date = {2015-09-01},
address = {Delft, Netherland},
organization = {12th EWADE Workshop ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
0000
Dubreuil, S.; Bartoli, N.; Gogu, C.; Lefebvre, T.
Propagation of Modeling Uncertainty by Polynomial Chaos Expansion in Multidisciplinary Analysis Journal Article
In: Journal of Mechanical Design, vol. 138, no. 11, pp. 111411, 0000.
@article{ Dubreuil2016_95 ,
title = {Propagation of Modeling Uncertainty by Polynomial Chaos Expansion in Multidisciplinary Analysis},
author = {S. Dubreuil and N. Bartoli and C. Gogu and T. Lefebvre},
url = {https://doi.org/10.1115/1.4034110},
journal = {Journal of Mechanical Design},
volume = {138},
number = {11},
pages = {111411},
publisher = {ASME},
abstract = {Multidisciplinary analysis (MDA) is nowadays a powerful tool for analysis and optimization of complex systems. The present study is interested in the case where MDA involves feedback loops between disciplines (i.e., the output of a discipline is the input of another and vice versa). When the models for each discipline involve non-negligible modeling uncertainties, it is important to be able to efficiently propagate these uncertainties to the outputs of the MDA. The present study introduces a polynomial chaos expansion (PCE)-based approach to propagate modeling uncertainties in MDA. It is assumed that the response of each disciplinary solver is affected by an uncertainty modeled by a random field over the design and coupling variables space. A semi-intrusive PCE formulation of the problem is proposed to solve the corresponding nonlinear stochastic system. Application of the proposed method emphasizes an important particular case in which each disciplinary solver is replaced by a surrogate model (e.g., kriging). Three application problems are treated, which show that the proposed approach can approximate arbitrary (non-Gaussian) distributions very well at significantly reduced computational cost.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Multidisciplinary analysis (MDA) is nowadays a powerful tool for analysis and optimization of complex systems. The present study is interested in the case where MDA involves feedback loops between disciplines (i.e., the output of a discipline is the input of another and vice versa). When the models for each discipline involve non-negligible modeling uncertainties, it is important to be able to efficiently propagate these uncertainties to the outputs of the MDA. The present study introduces a polynomial chaos expansion (PCE)-based approach to propagate modeling uncertainties in MDA. It is assumed that the response of each disciplinary solver is affected by an uncertainty modeled by a random field over the design and coupling variables space. A semi-intrusive PCE formulation of the problem is proposed to solve the corresponding nonlinear stochastic system. Application of the proposed method emphasizes an important particular case in which each disciplinary solver is replaced by a surrogate model (e.g., kriging). Three application problems are treated, which show that the proposed approach can approximate arbitrary (non-Gaussian) distributions very well at significantly reduced computational cost.