Application of active subspaces for model reduction and identification of design space
Author(s)
Kucherenko, Sergei
Shah, Nilay
Zaccheus, Oluyemi
Type
Chapter
Abstract
The design space is defined as the combination of materials and process conditions which provides assurance of quality. Identification of the design space is a computationally demanding task especially in high dimensional settings. The active subspaces method is a technique that identifies the most important directions in the parameter space, enabling significant dimension reduction. We show how to apply the active subspaces method for model reductions and identification of design space. The results of constraint global sensitivity analysis match those obtained with the active subspaces method for the considered test case.
Editor(s)
Lirkov, I
Date Issued
2024-05-24
Citation
Large-Scale Scientific Computations, 2024, 13952, pp.412-418
ISBN
978-3-031-56207-5
Publisher
Springer Nature Switzerland AG
Start Page
412
End Page
418
Journal / Book Title
Large-Scale Scientific Computations
Volume
13952
Copyright Statement
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
Subjects
Active subspaces
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Design Space
Model Reduction
Probability Map
Science & Technology
Technology
Publication Status
Published