Bibliographic Details
| Title: |
Adaptive reduced order modeling to assess peak stresses in heterogeneous arterial sections. |
| Authors: |
Gahima, Stephan1 (AUTHOR) stephan.gahima@upc.edu, Stefanati, Marco2 (AUTHOR) marco.stefanati@polimi.it, Rodríguez Matas, José Félix2 (AUTHOR) josefelix.rodriguezmatas@polimi.it, García-González, Alberto1,3 (AUTHOR) berto.garcia@upc.edu, Díez, Pedro1,3 (AUTHOR) pedro.diez@upc.edu |
| Source: |
Computational Mechanics. May2026, Vol. 77 Issue 5, p1419-1432. 14p. |
| Subjects: |
Level set methods, Atherosclerotic plaque, Shearing force, Optimization algorithms, Mode shapes, Classification algorithms, Dimensional reduction algorithms |
| Abstract: |
We introduce an adaptive model reduction approach to compute peak Von Mises stress (pVMS) in heterogeneous arterial sections. The pipeline follows a standard two-phase process: first, we construct the training set of displacement snapshots obtained from the full order model offline, and then we compute pVMS in the online phase. We adaptively enrich the modal representation in critical regions (around the lumen and in calcified areas) using a level-set approach. Optimized for efficient pVMS computation, as a key plaque vulnerability indicator, this technique significantly reduces the computational cost of training machine learning models to classify plaque vulnerability based on pVMS. [ABSTRACT FROM AUTHOR] |
|
Copyright of Computational Mechanics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
