空气动力学
高超音速
马赫数
计算机科学
航空航天工程
计算流体力学
航程(航空)
遗传算法
国际空间站
纵向静稳定性
弹道
多学科设计优化
模拟
工程类
多学科方法
社会科学
物理
天文
机器学习
社会学
作者
Antonio Viviani,Andrea Aprovitola,Luigi Iuspa,Giuseppe Pezzella
标识
DOI:10.1016/j.ast.2020.106029
摘要
This paper deals with the development of a multidisciplinary design framework for reusable space vehicles, able to provide a round-trip crew transport capability to low Earth orbit, and especially for the support and supply services of the International Space Station. Design activities rely on a shape optimization procedure adopted as a-priori knowledge to find concept aeroshapes able to satisfy specific mission objectives and requirements. Optimization results are obtained with a floating point version of a Multi-Objective Genetic Algorithm. A detailed engineering-based aerodynamic analysis of a promising design candidate is provided throughout descent flight regimes considering the range of Mach numbers from 25 to 0.3. Aerodynamic computations in high speed range of re-entry corridor are performed with an hypersonic panel code which relies on Surface Impact Methods. Additionally, a subsonic panel code based on potential flow theory is adopted to evaluate low speed coefficients. Trade-off candidate eligible for a phase-A design is then validated creating a CFD test matrix in a set of forty specified way-points along with the re-entry trajectory. Finally, preliminary considerations about viability of the configuration are given with reference to longitudinal stability margin.
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