EFFECTIVE MODEL CALIBRATION VIA SENSIBLE VARIABLE IDENTIFICATION AND ADJUSTMENT WITH APPLICATION TO COMPOSITE FUSELAGE SIMULATION Academic Article

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 adjust the sensible variables with limited physical experimental data. The methodology is applied to a composite fuselage simulation problem.

authors

• Tuo, Rui

published proceedings

• ANNALS OF APPLIED STATISTICS

author list (cited authors)

• Wang, Y., Yue, X., Tuo, R., Hunt, J. H., & Shi, J.

citation count

• 13

complete list of authors

• Wang, Yan||Yue, Xiaowei||Tuo, Rui||Hunt, Jeffrey H||Shi, Jianjun

publication date

• December 2020

publisher

• Institute of Mathematical Statistics  Publisher

published in

• Annals of Applied Statistics  Journal

keywords

• Composite Parts
• Computer Experiments
• Engineering Design Parameters
• Penalized Calibration

Digital Object Identifier (DOI)

• 10.1214/20-AOAS1353

start page

• 1759

end page

• 1776

volume

• 14

issue

• 4

URL

• http://dx.doi.org/10.1214/20-aoas1353