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PGD-Based surrogate models for parametric studies in CFD

Author
Giacomini, M.; Sevilla, R.; Huerta, A.
Type of activity
Presentation of work at congresses
Name of edition
SIAM Conference on Computational Science and Engineering 2021
Date of publication
2021
Presentation's date
2021-03
Book of congress proceedings
HAPPENING VIRTUALLY: SIAM Conference on Computational Science and Engineering 2021 (CSE21): Fort Worth, Texas, U.S.: 1-5 march, 2021: book of abstracts
First page
1
Last page
1
URL
https://meetings.siam.org/sess/dsp_talk.cfm?p=108498 Open in new window
Abstract
Reduced order models (ROM) are commonly employed to solve parametric problems and to efficiently evaluate quantities of interest in real-time. These approaches are especially suited to perform exploratory parametric studies of complex physical and industrial problems. In this talk, the proper generalised decomposition (PGD) framework is exploited to construct surrogate models, explicitly depending on user-defined parameters, in the context of parametrised flow problems. An overview of recent adv...
Group of research
LACÀN - Numerical Methods for Applied Sciences and Engineering

Participants