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KŮDELA, J. MATOUŠEK, R.
Original Title
Recent advances and applications of surrogate models for finite element method computations: a review
Type
journal article in Web of Science
Language
English
Original Abstract
The utilization of surrogate models to approximate complex systems has recently gained increased popularity. Because of their capability to deal with black-box problems and lower computational requirements, surrogates were successfully utilized by researchers in various engineering and scientific fields. An efficient use of surrogates can bring considerable savings in computational resources and time. Since literature on surrogate modelling encompasses a large variety of approaches, the appropriate choice of a surrogate remains a challenging task. This review discusses significant publications where surrogate modelling for finite element method-based computations was utilized. We familiarize the reader with the subject, explain the function of surrogate modelling, sampling and model validation procedures, and give a description of the different surrogate types. We then discuss main categories where surrogate models are used: prediction, sensitivity analysis, uncertainty quantification, and surrogate-assisted optimization, and give detailed account of recent advances and applications. We review the most widely used and recently developed software tools that are used to apply the discussed techniques with ease. Based on a literature review of 180 papers related to surrogate modelling, we discuss major research trends, gaps, and practical recommendations. As the utilization of surrogate models grows in popularity, this review can function as a guide that makes surrogate modelling more accessible.
Keywords
Surrogate model; Surrogate-assisted optimization; Sensitivity analysis; Uncertainty quantification; Finite element method
Authors
KŮDELA, J.; MATOUŠEK, R.
Released
17. 7. 2022
Publisher
Springer
ISBN
1432-7643
Periodical
SOFT COMPUTING
Year of study
26
Number
1
State
United States of America
Pages from
13709
Pages to
13733
Pages count
25
URL
https://link.springer.com/article/10.1007/s00500-022-07362-8
Full text in the Digital Library
http://hdl.handle.net/11012/245272
BibTex
@article{BUT178561, author="Jakub {Kůdela} and Radomil {Matoušek}", title="Recent advances and applications of surrogate models for finite element method computations: a review", journal="SOFT COMPUTING", year="2022", volume="26", number="1", pages="13709--13733", doi="10.1007/s00500-022-07362-8", issn="1432-7643", url="https://link.springer.com/article/10.1007/s00500-022-07362-8" }