IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v187y2020i3d10.1007_s10957-019-01572-1.html
   My bibliography  Save this article

On the Optimal Prediction of the Stress Field Associated with Discrete Element Models

Author

Listed:
  • Ada Amendola

    (University of Salerno)

Abstract

This work presents an optimized and convergent regularization procedure for the computation of the stress field exhibited by particle systems subject to self-equilibrated short-range interactions. A regularized definition of the stress field associated with arbitrary force networks is given, and its convergence behavior in the continuum limit is demonstrated analytically, for the first time in the literature. The analyzed systems of forces describe pair interactions between lumped masses in ‘atomistic’ models of 2D elastic bodies and 3D membrane shells based on non-conforming finite element methods. We derive such force networks from polyhedral stress functions defined over arbitrary triangulations of 2D domains. The stress function associated with an unstructured force network is projected onto a structured triangulation, producing a new force network with ordered structure. The latter is employed to formulate a ‘microscopic’ definition of the Cauchy stress of the system in the continuum limit. The convergence order of such a stress measure to its continuum limit is given, as the mesh size approaches zero. Benchmark examples illustrate the application of the proposed regularization procedure to the prediction of the stress field exhibited by a variety of 2D and 3D membrane networks.

Suggested Citation

  • Ada Amendola, 2020. "On the Optimal Prediction of the Stress Field Associated with Discrete Element Models," Journal of Optimization Theory and Applications, Springer, vol. 187(3), pages 613-629, December.
  • Handle: RePEc:spr:joptap:v:187:y:2020:i:3:d:10.1007_s10957-019-01572-1
    DOI: 10.1007/s10957-019-01572-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-019-01572-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10957-019-01572-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. W. Achtziger, 1998. "Multiple-Load Truss Topology and Sizing Optimization: Some Properties of Minimax Compliance," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 255-280, August.
    2. Antonio André Novotny & Jan Sokołowski & Antoni Żochowski, 2019. "Topological Derivatives of Shape Functionals. Part III: Second-Order Method and Applications," Journal of Optimization Theory and Applications, Springer, vol. 181(1), pages 1-22, April.
    3. Antonio André Novotny & Jan Sokołowski & Antoni Żochowski, 2019. "Topological Derivatives of Shape Functionals. Part II: First-Order Method and Applications," Journal of Optimization Theory and Applications, Springer, vol. 180(3), pages 683-710, March.
    4. Waqas Saleem & M. Aurangzeb Khan & Sajid Raza Ch, 2012. "Formulation and Execution of Structural Topology Optimization for Practical Design Solutions," Journal of Optimization Theory and Applications, Springer, vol. 152(2), pages 517-536, February.
    5. Antonio André Novotny & Jan Sokołowski & Antoni Żochowski, 2019. "Topological Derivatives of Shape Functionals. Part I: Theory in Singularly Perturbed Geometrical Domains," Journal of Optimization Theory and Applications, Springer, vol. 180(2), pages 341-373, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michał Nowak & Jan Sokołowski & Antoni Żochowski, 2020. "Biomimetic Approach to Compliance Optimization and Multiple Load Cases," Journal of Optimization Theory and Applications, Springer, vol. 184(1), pages 210-225, January.
    2. Antonio André Novotny & Jan Sokołowski & Antoni Żochowski, 2019. "Topological Derivatives of Shape Functionals. Part III: Second-Order Method and Applications," Journal of Optimization Theory and Applications, Springer, vol. 181(1), pages 1-22, April.
    3. Antonio André Novotny & Jan Sokołowski & Antoni Żochowski, 2019. "Topological Derivatives of Shape Functionals. Part II: First-Order Method and Applications," Journal of Optimization Theory and Applications, Springer, vol. 180(3), pages 683-710, March.
    4. Antonio André Novotny & Jan Sokołowski & Antoni Żochowski, 2019. "Topological Derivatives of Shape Functionals. Part I: Theory in Singularly Perturbed Geometrical Domains," Journal of Optimization Theory and Applications, Springer, vol. 180(2), pages 341-373, February.
    5. Miguel Carrasco & Benjamin Ivorra & Angel Manuel Ramos, 2012. "A Variance-Expected Compliance Model for Structural Optimization," Journal of Optimization Theory and Applications, Springer, vol. 152(1), pages 136-151, January.
    6. Shreyas Vathul Subramanian & Daniel A. DeLaurentis, 2016. "Application of Multidisciplinary Systems‐of‐Systems Optimization to an Aircraft Design Problem," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 235-251, May.
    7. Alemseged Gebrehiwot Weldeyesus & Jacek Gondzio, 2018. "A specialized primal-dual interior point method for the plastic truss layout optimization," Computational Optimization and Applications, Springer, vol. 71(3), pages 613-640, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joptap:v:187:y:2020:i:3:d:10.1007_s10957-019-01572-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.