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Lattice Discrete Particle Model (LDPM): Comparison of Various Time Integration Solvers and Implementations

Erol Lale, Jan Eliáš*, Ke Yu, Matthew Troemner, Monika Středulová, Julien Khoury, Tianju Xue, Ioannis Koutromanos, Alessandro Fascetti, Bahar Ayhan, Baixi Chen, Giovanni Di Luzio, Yuhui Lyu, Madura Pathirage, Gilles Pijaudier-Cabot, Lei Shen, Alessandro Tasora, Lifu Yang, Jiawei Zhong, Gianluca Cusatis

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This article presents a comparison of various implementations of the Lattice Discrete Particle Model (LDPM) for the numerical simulation of concrete and other heterogeneous quasibrittle materials. The comparison involves the use of transient implicit and explicit solvers and steady-state (static) solvers as well as implementations for central processing unit (CPU) and graphics processing unit (GPU). The various implementations are compared on the basis of a set of benchmarks tests describing behaviors of increasing computational complexity. They include elastic vibrations, confined strain-hardening compressive response, tensile fracture, and unconfined strain-softening compressive response. Metrics of interest extracted from the simulations include macroscopic stress versus strain responses, computational times, number of iterations, and energy balance error. Pairwise comparison of final crack patterns is provided through the correlation coefficient and normalized root mean square error of the crack opening vectors. Moreover, for the most numerically challenging case of unconfined compression with sliding boundary conditions, the stability of the strain-softening response is tested by perturbing the solutions as well as changing the convergence criteria and time step size. Attached to this paper is the complete input data of the benchmark tests; this will allow researchers to run the examples and compare them with their own implementations. In addition, most of the reported implementations are publicly available in open source packages. © 2026 John Wiley & Sons Ltd.
Original languageEnglish
Number of pages21
JournalInternational Journal for Numerical and Analytical Methods in Geomechanics
Online published9 Mar 2026
DOIs
Publication statusOnline published - 9 Mar 2026

Funding

The work of Erol Lale, Ke Yu, Bahar Ayhan, Giovanni Di Luzio, Matthew Troemner, and Gianluca Cusatis was partially supported by the Engineering Research and Development Center (ERDC)—Construction Engineering Research Laboratory (CERL) under Contract No. W9132T22C0015. Jan Eliáš and Monika Středulová acknowledge financial support received from Czech Science Foundation under project No. GA24-11845S. Monika also acknowledges Brno Ph.D. talent Scholarship funded by the Brno City Municipality used to implement LDPM material model to OAS. Julien Khoury and Gilles Pijaudier-Cabot acknowledge financial support from the investissement d'avenir French program (ANR-16-IDEX-0002) within the E2S Hub Newpores, the European Union's Horizon 2020 research and innovation program EDENE under the Marie Skłodowska-Curie Grant Agreement No. 945416, and from the Communauté d'Agglomération Pau–Béarn–Pyrénées. Tianju Xue and Jiawei Zhong acknowledge the support from the Young Collaborative Research Grant (YCRG) by the Research Grants Council of Hong Kong (Project No. C6002-24Y). This research was supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology.

Research Keywords

  • explicit solver
  • fracture
  • heterogeneity
  • implicit solver
  • inelasticity
  • lattice discrete particle model
  • LDPM
  • softening

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