<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Calibration of numerical models based on advanced optimization and penalization techniques

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A new approach to estimation of unknown material parameters and boundary conditions of physical models was developed. The approach is based on processing...

Calibration of numerical models based on advanced optimization and penalization techniques

Online veröffentlicht: 28. Nov. 2017

Seitenbereich: 396 - 400

Eingereicht: 23. Apr. 2017

DOI: https://doi.org/10.1515/jee-2017-0073

Schlüsselwörter
optimization, penalization, estimation of parameters, finite element method

© 2017 Pavel Karban et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Calibration of numerical models based on advanced optimization and penalization techniques

Online veröffentlicht: 28. Nov. 2017

Seitenbereich: 396 - 400

Eingereicht: 23. Apr. 2017

DOI: https://doi.org/10.1515/jee-2017-0073

Schlüsselwörteroptimization, penalization, estimation of parameters, finite element method

© 2017 Pavel Karban et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
optimization, penalization, estimation of parameters, finite element method