Calibration of numerical models based on advanced optimization and penalization techniques
By: Pavel Karban, David Pánek, František Mach and Ivo Doležel
Abstract
A new approach to estimation of unknown material parameters and boundary conditions of physical models was developed. The approach is based on processing measured data by advanced optimization techniques connected with penalization. The data are supposed to be in the form of random variables with normal probability distributions. Several examples were calculated proving the strength of the proposed algorithm.
Language: English
Page range: 396 - 400
Submitted on: Apr 23, 2017
Published on: Nov 28, 2017
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Related subjects:
© 2017 Pavel Karban, David Pánek, František Mach, Ivo Doležel, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.