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Error and variability characterization in structural dynamics modeling

机译:结构动力学建模中的误差和变异性表征

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摘要

The characterization of both modeling error and random variability has been the subject of recent interest within the modeling and simulation community. This paper addresses both of these topics, using as a testbed the structural dynamics validation challenge problem developed by Sandia National Laboratories. With a focus on the model's intended use, two cases of model assessment are considered, illustrating what types of conclusions are appropriate when comparing model predictions and experimental observations. In addition, the random variability associated with the modal properties of a three degree-of-freedom subsystem is characterized using a non-parametric approach which incorporates kernel density estimation, principal component analysis, and Markov Chain Monte Carlo simulation.
机译:建模误差和随机变异性的表征已成为建模和仿真界最近关注的主题。本文讨论了这两个主题,并使用了桑迪亚国家实验室开发的结构动力学验证挑战性问题作为测试平台。以模型的预期用途为重点,考虑了两种模型评估案例,它们说明了在比较模型预测和实验观察结果时适合哪种类型的结论。另外,与三自由度子系统的模态特性相关的随机变异性是使用非参数方法来表征的,该方法结合了核密度估计,主成分分析和马尔可夫链蒙特卡洛模拟。

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