A multi-objective optimization framework for hypersonic aerothermoelastic scaling laws and its application to skin panels

Daning Huang, Peretz P. Friedmann

Research output: Contribution to conferencePaperpeer-review

Abstract

This study describes the development of an optimization framework for generating hypersonic aerothermoelastic scaling laws using a novel two-pronged approach. The approach combines classical scaling based on dimensional analysis with augmentation from numerical simulations of the specific problem. Combined comparison and adjustment of the full-scale prototype and the scaled model yields the refinement of the scaling laws. The search for an aerothermoelastically scaled model is formulated as an multi-objective optimization problem, which is solved using a multi-objective Bayesian optimization algorithm. The effectiveness of the two-pronged approach is demonstrated by its application to the development of refined hypersonic aerothermoelastic scaling laws for a composite skin panel configuration.

Original languageEnglish (US)
StatePublished - 2019
EventInternational Forum on Aeroelasticity and Structural Dynamics 2019, IFASD 2019 - Savannah, United States
Duration: Jun 10 2019Jun 13 2019

Conference

ConferenceInternational Forum on Aeroelasticity and Structural Dynamics 2019, IFASD 2019
CountryUnited States
CitySavannah
Period6/10/196/13/19

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Aerospace Engineering

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