High Fidelity Multidisciplinary Optimization (HFMDO)

Alston, Katherine; Doyle, Steven; Winter, Tyler; Kim, Hongman; Ragon, S.

doi:10.2514/6.2010-9319

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Baker et al developed the IHAT system focusing high-speed airbreathing flight vehicles [2,3]. Alston et al developed the HFMDO system for the next-generation supersonic aircraft [4].…”

Section: Introductionmentioning

confidence: 99%

Multifidelity Multidisciplinary Design Optimization of Integral Solid Propellant Ramjet Supersonic Cruise Vehicles

Sun

Yang

et al. 2019

International Journal of Aerospace Engineering

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Integral solid propellant ramjet (ISPR) supersonic cruise vehicles share the characteristic that they are highly integrated configurations. The traditional design of vehicles cannot achieve a balance between computational expense and accuracy. A multifidelity multidisciplinary design optimization (MDO) platform has been developed in this study. The focus of the platform is on ISPR supersonic cruise vehicles. Firstly, codes of discipline with different levels of fidelity (LoF) were established, such as geometry, aerodynamics, radar cross-section calculations, propulsion, mass, and trajectory discipline codes. Secondly, two MDO frameworks were constructed through discipline codes. A low LoF MDO framework is suitable for conceptual design, and a medium LoF MDO framework is suitable for preliminary design. Finally, taking the optimization problem with the minimum overall detection probability of flight trajectory as an example, the low LoF framework first explores the entire design space to achieve the mission requirements, and then, the medium LoF MDO framework accepts the low LoF framework optimization parameters. Hence, the optimization target is reached with more detailed parameters and higher fidelity. Additionally, an example for a solid propellant missile with minimum total mass is tested by the platform. The study results show that the multifidelity MDO framework not only exploits interactions between the disciplines but also improves the accuracy of optimization results and reduces the iteration time.

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“…Baker et al developed the IHAT system focusing high-speed airbreathing flight vehicles [2,3]. Alston et al developed the HFMDO system for the next-generation supersonic aircraft [4].…”

Section: Introductionmentioning

confidence: 99%