View in EDS

Adaptive reduced order modeling to assess peak stresses in heterogeneous arterial sections.

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 193684807
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Adaptive reduced order modeling to assess peak stresses in heterogeneous arterial sections.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gahima%2C+Stephan%22">Gahima, Stephan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> stephan.gahima@upc.edu</i><br /><searchLink fieldCode="AR" term="%22Stefanati%2C+Marco%22">Stefanati, Marco</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> marco.stefanati@polimi.it</i><br /><searchLink fieldCode="AR" term="%22Rodríguez+Matas%2C+José+Félix%22">Rodríguez Matas, José Félix</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> josefelix.rodriguezmatas@polimi.it</i><br /><searchLink fieldCode="AR" term="%22García-González%2C+Alberto%22">García-González, Alberto</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> berto.garcia@upc.edu</i><br /><searchLink fieldCode="AR" term="%22Díez%2C+Pedro%22">Díez, Pedro</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> pedro.diez@upc.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computational+Mechanics%22">Computational Mechanics</searchLink>. May2026, Vol. 77 Issue 5, p1419-1432. 14p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Level+set+methods%22">Level set methods</searchLink><br /><searchLink fieldCode="DE" term="%22Atherosclerotic+plaque%22">Atherosclerotic plaque</searchLink><br /><searchLink fieldCode="DE" term="%22Shearing+force%22">Shearing force</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Mode+shapes%22">Mode shapes</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+algorithms%22">Classification algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Dimensional+reduction+algorithms%22">Dimensional reduction algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>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.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193684807
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00466-025-02713-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1419
    Subjects:
      – SubjectFull: Level set methods
        Type: general
      – SubjectFull: Atherosclerotic plaque
        Type: general
      – SubjectFull: Shearing force
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Mode shapes
        Type: general
      – SubjectFull: Classification algorithms
        Type: general
      – SubjectFull: Dimensional reduction algorithms
        Type: general
    Titles:
      – TitleFull: Adaptive reduced order modeling to assess peak stresses in heterogeneous arterial sections.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gahima, Stephan
      – PersonEntity:
          Name:
            NameFull: Stefanati, Marco
      – PersonEntity:
          Name:
            NameFull: Rodríguez Matas, José Félix
      – PersonEntity:
          Name:
            NameFull: García-González, Alberto
      – PersonEntity:
          Name:
            NameFull: Díez, Pedro
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 01787675
          Numbering:
            – Type: volume
              Value: 77
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Computational Mechanics
              Type: main
ResultId 1