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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

18 Downloads (Pure)


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
Original languageEnglish
Title of host publicationComputational methods and experimental measurements IX
EditorsG.M. Carlomagno, C.A. Brebbia
Place of PublicationSouthampton
PublisherComputational Mechanics Publications
ISBN (Print)1-85312-683-7
Publication statusPublished - 1999

Publication series

NameComputational engineering
NameWIT Transactions on Modelling and Simulation
ISSN (Print)1743-355X


Dive into the research topics of 'Optimization of experiments for the identification of material parameters in computational models'. Together they form a unique fingerprint.

Cite this