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Assessment of CFD-based Response Surface Model for Ares I Supersonic Ascent Aerodynamics

机译:基于CFD的Ares I超音速上升空气动力学响应面模型评估

摘要

The Ascent Force and Moment Aerodynamic (AFMA) Databases (DBs) for the Ares I Crew Launch Vehicle (CLV) were typically based on wind tunnel (WT) data, with increments provided by computational fluid dynamics (CFD) simulations for aspects of the vehicle that could not be tested in the WT tests. During the Design Analysis Cycle 3 analysis for the outer mold line (OML) geometry designated A106, a major tunnel mishap delayed the WT test for supersonic Mach numbers (M) greater than 1.6 in the Unitary Plan Wind Tunnel at NASA Langley Research Center, and the test delay pushed the final delivery of the A106 AFMA DB back by several months. The aero team developed an interim database based entirely on the already completed CFD simulations to mitigate the impact of the delay. This CFD-based database used a response surface methodology based on radial basis functions to predict the aerodynamic coefficients for M > 1.6 based on only the CFD data from both WT and flight Reynolds number conditions. The aero team used extensive knowledge of the previous AFMA DB for the A103 OML to guide the development of the CFD-based A106 AFMA DB. This report details the development of the CFD-based A106 Supersonic AFMA DB, constructs a prediction of the database uncertainty using data available at the time of development, and assesses the overall quality of the CFD-based DB both qualitatively and quantitatively. This assessment confirms that a reasonable aerodynamic database can be constructed for launch vehicles at supersonic conditions using only CFD data if sufficient knowledge of the physics and expected behavior is available. This report also demonstrates the applicability of non-parametric response surface modeling using radial basis functions for development of aerodynamic databases that exhibit both linear and non-linear behavior throughout a large data space.
机译:阿瑞斯I型载人运载火箭(CLV)的上升力和力矩空气动力学(AFMA)数据库(DB)通常基于风洞(WT)数据,并通过计算流体动力学(CFD)模拟提供了有关车辆各方面的增量在WT测试中无法测试。在名为A106的外模线(OML)几何结构的设计分析第3周期分析期间,一次重大隧道事故在NASA兰利研究中心的统一计划风洞中使超声波速马赫数(M)大于1.6的WT试验延后,并且测试延迟将A106 AFMA DB的最终交付推迟了几个月。航空团队完全根据已经完成的CFD模拟开发了一个临时数据库,以减轻延误的影响。这个基于CFD的数据库使用基于径向基函数的响应面方法来仅基于来自WT和飞行雷诺数条件的CFD数据来预测M> 1.6的空气动力学系数。航空团队利用A103 OML以前的AFMA DB的广泛知识来指导基于CFD的A106 AFMA DB的开发。该报告详细介绍了基于CFD的A106 Supersonic AFMA DB的开发,使用开发时可用的数据构建了数据库不确定性的预测,并定性和定量地评估了基于CFD的DB的整体质量。该评估证实,如果有足够的物理知识和预期行为,则可以仅使用CFD数据为超音速条件下的运载火箭构建合理的空气动力学数据库。该报告还演示了使用径向基函数进行空气动力学数据库开发的非参数响应曲面建模的适用性,该数据库在整个大数据空间中均表现出线性和非线性行为。

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    Hanke Jeremy L.;

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  • 年度 2011
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