IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i3p524-d1040092.html
   My bibliography  Save this article

Adaptive Load Incremental Step in Large Increment Method for Elastoplastic Problems

Author

Listed:
  • Baorang Cui

    (Institute of Solid Mechanics, Beihang University, Beijing 100191, China)

  • Jingxiu Zhang

    (Institute of Solid Mechanics, Beihang University, Beijing 100191, China)

  • Yong Ma

    (Institute of Solid Mechanics, Beihang University, Beijing 100191, China)

Abstract

As a force-based finite element method (FEM), large increment method (LIM) shows unique advantages in material nonlinearity problems. In LIM for material nonlinearity analysis, adaptive load incremental step is a fundamental step for its successful application. In this work, a strategy to automatically refine the load incremental step is proposed in the framework of LIM. The adaptive load incremental step is an iterative process based on the whole loading process, and the location and number of post-refined incremental steps are determined by the posteriori error of energy on the pre-refined incremental steps. Furthermore, the iterative results from the pre-refined incremental steps can be utilized as the initial value to calculate the result for the post-refined incremental steps, which would significantly improve the computational accuracy and efficiency. The strategy is demonstrated using a two-dimensional example with a bilinear hardening material model under cyclic loading, which verifies the accuracy and efficiency of the strategy in LIM. Compared with the displacement-based FEM, which relies upon a step-by-step incremental approach stemming from flow theory, the adaptive load incremental step based on the whole loading process of LIM can avoid the cumulative errors caused by step-by-step in global stage and can quantify the accuracy of results. This work provides a guidance for the practical application of LIM in nonlinear problems.

Suggested Citation

  • Baorang Cui & Jingxiu Zhang & Yong Ma, 2023. "Adaptive Load Incremental Step in Large Increment Method for Elastoplastic Problems," Mathematics, MDPI, vol. 11(3), pages 1-14, January.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:524-:d:1040092
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/3/524/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/3/524/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xunbai Du & Sina Dang & Yuzheng Yang & Yingbin Chai, 2022. "The Finite Element Method with High-Order Enrichment Functions for Elastodynamic Analysis," Mathematics, MDPI, vol. 10(23), pages 1-27, December.
    2. Yanming Xu & Haozhi Li & Leilei Chen & Juan Zhao & Xin Zhang, 2022. "Monte Carlo Based Isogeometric Stochastic Finite Element Method for Uncertainty Quantization in Vibration Analysis of Piezoelectric Materials," Mathematics, MDPI, vol. 10(11), pages 1-17, May.
    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.

      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:gam:jmathe:v:11:y:2023:i:3:p:524-:d:1040092. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.