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December 2020 Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation
Yan Wang, Xiaowei Yue, Rui Tuo, Jeffrey H. Hunt, Jianjun Shi
Ann. Appl. Stat. 14(4): 1759-1776 (December 2020). DOI: 10.1214/20-AOAS1353

Abstract

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.

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Yan Wang. Xiaowei Yue. Rui Tuo. Jeffrey H. Hunt. Jianjun Shi. "Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation." Ann. Appl. Stat. 14 (4) 1759 - 1776, December 2020. https://doi.org/10.1214/20-AOAS1353

Information

Received: 1 November 2019; Revised: 1 April 2020; Published: December 2020
First available in Project Euclid: 19 December 2020

MathSciNet: MR4194247
Digital Object Identifier: 10.1214/20-AOAS1353

Rights: Copyright © 2020 Institute of Mathematical Statistics

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Vol.14 • No. 4 • December 2020
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