The Integrated Hypersonic Aeromechanics Tool (IHAT), Build 4

Baker, Myles L.; Munson, Michael J.; Hoppus, George W.; Alston, Katherine

doi:10.2514/6.2004-4565

Cited by 9 publications

(1 citation statement)

References 6 publications

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“…In addition, various structural optimization tools, based on idea of integration, are developed, e.g. Multidisciplinary Computing Environment for Aeromechanic (MDICEAE) by America Fluid Dynamics Research Center (FDRC), Integrated Hypersonic Aeromechanic Tool (IHAT) by America Navy [7] and Multidisciplinary Conceptual Design (MCDesign) by Northwestern Poly-technical University，etc. Even so, applications in practical engineering are still limited, because optimization problem using high-fidelity model is often calculation unaffordable.…”

Section: Introductionmentioning

confidence: 99%

Size Optimization of Microsatellite Primary Structure

Wang¹,

Zhao²,

Yi³

et al. 2016

Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016)

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This paper focuses on structural size optimization. The optimization problem of "TianTuo-3" microsatellite, which is successfully launched in September 20, 2016, is formulated mathematically. The most character of the problem is that outcomes under certain inputs are analyzed by commercial software, rather than analytical formulations. Solving the problem could be computationally unaffordable. Two kinds of algorithms, gradient-based and intelligent, are applied and compared in effect and efficiency. Results show that although both algorithms of NLPQL and ASA get a good effect, with total mass reduced 33.1% for the former and 32.7% the latter, NLPQL is more efficient, with less iterations (nearly half of ASA). It can be concluded that nonlinearity of the objective function and constraints are not strong and gradient-based algorithms are qualified to the problem with high efficiency.

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Section: Introductionmentioning

confidence: 99%