Optimization of experiments for the identification of material parameters in computational models

被引：0

作者：

Geers, MGD ^{[1
]}

Baaijens, FPT ^{[1
]}

Oomens, CWJ ^{[1
]}

机构：

[1] Eindhoven Univ Technol, Fac Mech Engn, NL-5600 MB Eindhoven, Netherlands

来源：

COMPUTATIONAL METHODS AND EXPERIMENTAL MEASUREMENTS IX | 1999年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The identifiability problem that rises in mixed numerical-experimental problems is one of the most important issues if an experiment has to be designed for the quantification of material parameters. This paper focuses on the relation between various aspects of an experiment and the condition number of the information matrix used in gradient algorithms for the parameter estimation. The initial estimate of the parameter sets permits to indicate whether or not the designed experiment provides the required information. A comparison is made for a tensile specimen and a bend specimen, where different types of measurements are simulated. Various aspects influence the optimal relation between an experiment and a numerical model. The proper analysis of this relationship permits the optimization of the design of an experiment.

引用

页码：543 / 552

页数：10

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