Reproducing kernel enhanced material point method with improved artificial viscosity formulations for shock wave and vortical compressible flows.

Saved in:
Bibliographic Details
Title: Reproducing kernel enhanced material point method with improved artificial viscosity formulations for shock wave and vortical compressible flows.
Authors: Peddavarapu, Sreehari1,2 (AUTHOR), Huang, Tsung-Hui1 (AUTHOR) thhuang@mx.nthu.edu.tw
Source: Computational Mechanics. Sep2025, Vol. 76 Issue 3, p797-828. 32p.
Subjects: Shock waves, Material point method, Damping (Mechanics), Reproducing kernel (Mathematics), Swirling flow, Fluid dynamics, Meshfree methods, Viscosity
Abstract: The modeling of inviscid compressible flows under a Lagrangian description with shock waves and/or vortical structures is challenging when using conventional mesh-based methods owing to severe mesh distortion and the instability caused by moving discontinuities. By contrast, meshfree methods such as the material point method (MPM) reduce mesh sensitivity but may suffer from low accuracy and instability due to cell-crossing instability and the inadequacy of the existing artificial viscosity (AV) formulations for stabilization. In this study, we present a reproducing kernel (RK)-stabilized MPM that incorporates an enhanced tensorial AV model to address these challenges. A mixed formulation is developed to solve the momentum and energy conservation equations, while the smooth RK approximation is used to mitigate cell-crossing instability. To address the instability induced by moving discontinuities, we improve the classical AV by incorporating tensorial forms of the gradient/divergence operator and following a vorticity-based blending approach. This allows us to appropriately regulate numerical dissipation in terms of dilatational and deviatoric strain rates. The proposed formulation is validated by applying it to classical benchmark problems involving shock and rarefaction waves, interfacial flows, and vortical structures. [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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 188150927
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Reproducing kernel enhanced material point method with improved artificial viscosity formulations for shock wave and vortical compressible flows.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Peddavarapu%2C+Sreehari%22">Peddavarapu, Sreehari</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Tsung-Hui%22">Huang, Tsung-Hui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> thhuang@mx.nthu.edu.tw</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computational+Mechanics%22">Computational Mechanics</searchLink>. Sep2025, Vol. 76 Issue 3, p797-828. 32p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Shock+waves%22">Shock waves</searchLink><br /><searchLink fieldCode="DE" term="%22Material+point+method%22">Material point method</searchLink><br /><searchLink fieldCode="DE" term="%22Damping+%28Mechanics%29%22">Damping (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Reproducing+kernel+%28Mathematics%29%22">Reproducing kernel (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Swirling+flow%22">Swirling flow</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamics%22">Fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Meshfree+methods%22">Meshfree methods</searchLink><br /><searchLink fieldCode="DE" term="%22Viscosity%22">Viscosity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The modeling of inviscid compressible flows under a Lagrangian description with shock waves and/or vortical structures is challenging when using conventional mesh-based methods owing to severe mesh distortion and the instability caused by moving discontinuities. By contrast, meshfree methods such as the material point method (MPM) reduce mesh sensitivity but may suffer from low accuracy and instability due to cell-crossing instability and the inadequacy of the existing artificial viscosity (AV) formulations for stabilization. In this study, we present a reproducing kernel (RK)-stabilized MPM that incorporates an enhanced tensorial AV model to address these challenges. A mixed formulation is developed to solve the momentum and energy conservation equations, while the smooth RK approximation is used to mitigate cell-crossing instability. To address the instability induced by moving discontinuities, we improve the classical AV by incorporating tensorial forms of the gradient/divergence operator and following a vorticity-based blending approach. This allows us to appropriately regulate numerical dissipation in terms of dilatational and deviatoric strain rates. The proposed formulation is validated by applying it to classical benchmark problems involving shock and rarefaction waves, interfacial flows, and vortical structures. [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=188150927
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00466-025-02627-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 32
        StartPage: 797
    Subjects:
      – SubjectFull: Shock waves
        Type: general
      – SubjectFull: Material point method
        Type: general
      – SubjectFull: Damping (Mechanics)
        Type: general
      – SubjectFull: Reproducing kernel (Mathematics)
        Type: general
      – SubjectFull: Swirling flow
        Type: general
      – SubjectFull: Fluid dynamics
        Type: general
      – SubjectFull: Meshfree methods
        Type: general
      – SubjectFull: Viscosity
        Type: general
    Titles:
      – TitleFull: Reproducing kernel enhanced material point method with improved artificial viscosity formulations for shock wave and vortical compressible flows.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Peddavarapu, Sreehari
      – PersonEntity:
          Name:
            NameFull: Huang, Tsung-Hui
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 01787675
          Numbering:
            – Type: volume
              Value: 76
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Computational Mechanics
              Type: main
ResultId 1