Surrogate-Assisted Reliability Optimisation of an Aircraft Wing with Static and Dynamic Aeroelastic Constraints

This paper presents a numerical strategy for reliability-based design optimisation of an aircraft wing structure using a surrogate-assisted approach. The design problem is set to minimise aircraft wing mass subject to structural and aeroelastic constraints, while design variables are structural dime...

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Veröffentlicht in:International journal of aeronautical and space sciences Jg. 21; H. 3; S. 723 - 732
Hauptverfasser: Wansaseub, K., Sleesongsom, S., Panagant, N., Pholdee, N., Bureerat, S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Seoul The Korean Society for Aeronautical & Space Sciences (KSAS) 01.09.2020
한국항공우주학회
Schlagworte:
Aerospace Technology and Astronautics
Engineering
Fluid- and Aerodynamics
Original Paper
항공우주공학
Multiobjective evolutionary algorithms
Aeroelasticity
Aircraft wing
Reliability-based design optimisation
ISSN:2093-274X, 2093-2480
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Beschreibung
Zusammenfassung:This paper presents a numerical strategy for reliability-based design optimisation of an aircraft wing structure using a surrogate-assisted approach. The design problem is set to minimise aircraft wing mass subject to structural and aeroelastic constraints, while design variables are structural dimensions. The problem has uncertainties in the material properties. The Kriging model is used for estimating the values of design functions. Two strategies of sampling technique are used, i.e., optimum Latin hypercube sampling (OLHS) with and without infill sampling. Uncertainty quantification is achieved by means of optimum normal distribution Latin hypercube sampling. The original design problem is converted to be a multiobjective optimisation problem. Optimum results show that OLHS with infill sampling gives a more accurate surrogate model; however, OLHS without infill sampling results in the better design solutions based on actual function evaluations.
ISSN:2093-274X
2093-2480
DOI:10.1007/s42405-019-00246-6