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Updated Reconstruction Methods for Modeling Orion Parachute Loads

机译:更新的重建方法来建模猎户座降落伞载荷

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Simulations of the Capsule Parachute Assembly System (CPAS) for Orion descent and landing are anchored to reconstructed flight test data. At the completion of the drop test program, all 25 Engineering Development Unit (EDU) and Qualification flight tests were reconstructed using improved techniques to provide a common set of parameters for Monte Carlo predictions. Multiple data sources are evaluated to augment the reconstruction based on knowledge of inherent measurement errors. Parameters to describe the test data are successively approximated, from initial inspection eventually to comprehensive simulations. Automation was employed to enhance precision and reduce subjectivity. Data from analogous parachutes are combined with appropriate modifications to provide the highest possible statistical significance of the resulting probability distributions. Inflation parameters are examined in multiple dimensions to restrict Monte Carlo dispersions to within physically possible combinations close to observations.
机译:猎户座下降和着陆的胶囊降落伞装配系统(CPAS)的模拟被锚定到重建的飞行测试数据中。在跌落测试程序完成时,使用改进的技术重建了全部25个工程开发单位(EDU)和资格飞行测试,以提供用于蒙特卡洛预测的一组通用参数。基于对固有测量误差的了解,对多个数据源进行评估以增强重建效果。从最初的检查到最终的全面模拟,都对用于描述测试数据的参数进行了逐次逼近。自动化被用来提高精度并降低主观性。将来自类似降落伞的数据与适当的修改组合在一起,以提供所得概率分布的最高可能统计意义。在多个维度上检查通货膨胀参数,以将蒙特卡洛离散限制在接近观察值的物理可能组合之内。

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    《AIAA aviation forum》|2019年|330-360|共31页
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    Eric S. Ray;

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