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Using dual response surfaces to reduce variability in launch vehicle design: A case study

机译:使用双响应面来减少运载火箭设计的可变性:一个案例研究

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摘要

Space transportation system conceptual design is a multidisciplinary process containing considerable element of risk. Uncertainties from one engineering discipline may propagate to another through linking parameters and the final system output may have an accumulation of risk. This may lead to significant deviations from expected performance. An estimate of variability or design risk therefore becomes essential for a robust design. This study utilizes the dual response surface approach to quantify variability in critical performance characteristics during conceptual design phase of a launch vehicle. Using design of experiments methods and disciplinary design analysis codes, dual response surfaces are constructed for the mean and standard deviation to quantify variability in vehicle weight and sizing analysis. Next, an optimum solution is sought to minimize variability subject to a constraint on mean weight. In this application, the dual response surface approach lead to quantifying and minimizing variability without much increase in design effort.
机译:太空运输系统的概念设计是一个多学科的过程,包含相当多的风险要素。一个工程学科的不确定性可能会通过链接参数传播到另一学科,最终的系统输出可能会累积风险。这可能会导致与预期性能的重大差异。因此,可变性或设计风险的评估对于稳健的设计至关重要。这项研究利用双重响应面方法来量化运载火箭概念设计阶段关键性能特征的可变性。使用实验方法的设计和学科设计分析代码,可为均值和标准差构造双响应面,以量化车辆重量和尺寸分析中的变化。接下来,寻求一种最佳解决方案以最小化受平均重量约束的可变性。在此应用中,双重响应表面方法可在不增加设计工作量的情况下量化并最小化可变性。

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