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Data-Driven Computation Scheme for Duncan–Chang EB Model

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  • Chaojun Han

    (PowerChina Guiyang Engineering Corporation Limited, Guiyang 550081, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    State Key Laboratory of Water Disaster Prevention, Nanjing 210098, China)

  • Qianhui Liu

    (State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China)

  • Xiaohang Li

    (PowerChina Guiyang Engineering Corporation Limited, Guiyang 550081, China)

  • Hezuo Zhang

    (PowerChina Guiyang Engineering Corporation Limited, Guiyang 550081, China)

Abstract

This paper extends the data-driven computational mechanics paradigm to nonlinear materials characterized by the Duncan–Chang Elastic-Bulk (E-B) constitutive model. Unlike in linear elastic systems, geotechnical media exhibit stress-dependent tangent moduli and non-convex constitutive manifolds. We propose a recursive nested data-driven solver that dynamically adapts the phase-space distance metric to account for pressure-dependent hardening. A rigorous mathematical analysis of convergence is provided, demonstrating that the solver’s performance is governed by the local transversality between the conservation law constraint set and the nonlinear material manifold. We derive explicit error bounds that couple spatial discretization resolution with material data density. Numerical experiments using triaxial test data from a high-altitude region validate the theoretical predictions, showing that the proposed scheme demonstrates convergence in single-element tests.

Suggested Citation

  • Chaojun Han & Qianhui Liu & Xiaohang Li & Hezuo Zhang, 2026. "Data-Driven Computation Scheme for Duncan–Chang EB Model," Mathematics, MDPI, vol. 14(5), pages 1-24, February.
  • Handle: RePEc:gam:jmathe:v:14:y:2026:i:5:p:751-:d:1870486
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