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- W2912608805 abstract "We have implemented the design optimization of the three-dimensional geometry for a two-stage-to-orbit flyback booster under six objective functions regarding aerodynamics, aerodynamic heating, and structures to obtain the knowledge for designing reusable launch vehicle. It is important to view the relationship among the objective functions of other fields with aerodynamic heating under designing spacecraft. We defined many-objective problem to execute more realistic configuration design based on WIRES of Kyushu Institute of Technology and feedback the design knowledge. Accordingly, we used evolutionary computation as the optimization method and applied IBEA as evolutionary algorithm, which has appropriate result in many-objective optimization for searching design variables space and getting design information. Moreover, data analysis was carried out for the optimization result to reveal information in the design space. Consequently, we need to consider the strictly different design strategy for the speed range between the transonic and the supersonic as well as hypersonic conditions. We also revealed that the design strategy of configuration which improve each objective functions." @default.
- W2912608805 created "2019-02-21" @default.
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- W2912608805 date "2018-11-01" @default.
- W2912608805 modified "2023-09-25" @default.
- W2912608805 title "Hypervolume-Based Evolutionary Many-Disciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster" @default.
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- W2912608805 doi "https://doi.org/10.1109/ssci.2018.8628923" @default.
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