A sequential global programming approach for two-scale optimization of homogenized multiphysics problems with application to Biot porous media
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969245" target="_blank" >RIV/49777513:23520/23:43969245 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s00158-023-03659-w" target="_blank" >https://doi.org/10.1007/s00158-023-03659-w</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00158-023-03659-w" target="_blank" >10.1007/s00158-023-03659-w</a>
Alternative languages
Result language
angličtina
Original language name
A sequential global programming approach for two-scale optimization of homogenized multiphysics problems with application to Biot porous media
Original language description
We present a new approach and an algorithm for solving two-scale material optimization problems to optimize the behaviour of a fluid-saturated porous medium in a given domain. While the state problem is governed by the Biot model describing the fluid–structure interaction in homogenized poroelastic structures, the approach is widely applicable to multiphysics problems involving several macroscopic fields in which homogenization provides the relationship between the microconfigurations and the macroscopic mathematical model. The optimization variables describe the local microstructure design by virtue of the pore shape which determines the effective medium properties, namely the material coefficients, computed by the homogenization method. The numerical optimization strategy involves (a) precomputing a database of the material coefficients associated with the geometric parameters and (b) applying the sequential global programming (SGP) method for solving the problem of macroscopically optimized distribution of material coefficients. Although there are similarities to the free material optimization (FMO) approach, only effective material coefficients are considered admissible, for which a well-defined set of corresponding configurable microstructures exists. Due to the flexibility of the SGP approach, different types of microstructures with fully independent parametrizations can easily be handled. The efficiency of the concept is demonstrated by a series of numerical experiments that show that the SGP method can simultaneously handle multiple types of microstructures with nontrivial parametrizations using a considerably low and stable number of state problems to be solved.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20302 - Applied mechanics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
ISSN
1615-147X
e-ISSN
1615-1488
Volume of the periodical
66
Issue of the periodical within the volume
9
Country of publishing house
DE - GERMANY
Number of pages
24
Pages from-to
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UT code for WoS article
001067432200001
EID of the result in the Scopus database
2-s2.0-85170829741