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Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation
Annals of Applied Statistics ( IF 1.3 ) Pub Date : 2020-12-19 , DOI: 10.1214/20-aoas1353
Yan Wang , Xiaowei Yue , Rui Tuo , Jeffrey H. Hunt , Jianjun Shi

Estimation of model parameters of computer simulators, also known as calibration, is an important topic in many engineering applications. In this paper we consider the calibration of computer model parameters with the help of engineering design knowledge. We introduce the concept of sensible (calibration) variables. Sensible variables are model parameters, which are sensitive in the engineering modeling, and whose optimal values differ from the engineering design values. We propose an effective calibration method to identify and to determine appropriate levels for the sensible variables with limited physical experimental data. The methodology is applied to a composite fuselage simulation problem.

中文翻译:

通过合理的变量识别和调整进行有效的模型校准,并将其应用于复合机身仿真

在许多工程应用中,计算机模拟器模型参数的估计(也称为校准)是一个重要的主题。在本文中,我们考虑借助工程设计知识来校准计算机模型参数。我们介绍了明智的(校准)变量的概念。敏感变量是模型参数,在工程建模中比较敏感,其最佳值与工程设计值不同。我们提出了一种有效的校准方法,以识别和确定具有有限物理实验数据的敏感变量的适当水平。该方法适用于复合机身仿真问题。
更新日期:2020-12-20
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