Accurate single-step error estimation and universality for second-order implicit and explicit time integration algorithms in computational mechanics

This paper presents a unified single-step a posteriori error estimator for a broad class of second-order implicit and explicit time integration schemes used in solid mechanics, structural dynamics, fluid–structure interaction, and hyperbolic heat transfer and the like. The estimator is compatible with widely used classical time integration methods in compatible with widely used classical time integration methods, including the Newmark method, the Fox–Goodwin method, the TPO/Generalized- α method, the HHT- α method, the WBZ- α method, the Position Verlet method, the explicit Generalized- α method, and also newer and more modern methods such as those under the umbrella of GS4 based projections that encompass LMS method and others (see Refs. Wang et al., 2025). The single-step formulation enables direct integration with adaptive time-stepping strategies, substantially improving computational efficiency in dynamic simulations. The approach is validated on linear benchmark problems using explicit schemes and nonlinear problems using implicit schemes with Newton–Raphson iterations. Numerical examples demonstrate that the adaptive strategy effectively balances time step size and nonlinear iteration count, achieving significant reductions in CPU time compared to fixed-step simulations. The accompanying test codes are made publicly available to support reproducibility.

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Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2026-09-17
DOI
https://doi.org/10.1016/j.cma.2026.119398
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Accurate single-step error estimation and universality for second-order implicit and explicit time integration algorithms in computational mechanics

Tao Xue, Kumar K. Tamma, Xiaodai Xue, Weiqiang Ding et al.
Computer Methods in Applied Mechanics and Engineering
Numerical methods for differential equations
article

Accurate single-step error estimation and universality for second-order implicit and explicit time integration algorithms in computational mechanics

Tao Xue, Kumar K. Tamma, Xiaodai Xue, Weiqiang Ding, Yazhou Wang
article en

Abstract

This paper presents a unified single-step a posteriori error estimator for a broad class of second-order implicit and explicit time integration schemes used in solid mechanics, structural dynamics, fluid–structure interaction, and hyperbolic heat transfer and the like. The estimator is compatible with widely used classical time integration methods in compatible with widely used classical time integration methods, including the Newmark method, the Fox–Goodwin method, the TPO/Generalized- α method, the HHT- α method, the WBZ- α method, the Position Verlet method, the explicit Generalized- α method, and also newer and more modern methods such as those under the umbrella of GS4 based projections that encompass LMS method and others (see Refs. Wang et al., 2025). The single-step formulation enables direct integration with adaptive time-stepping strategies, substantially improving computational efficiency in dynamic simulations. The approach is validated on linear benchmark problems using explicit schemes and nonlinear problems using implicit schemes with Newton–Raphson iterations. Numerical examples demonstrate that the adaptive strategy effectively balances time step size and nonlinear iteration count, achieving significant reductions in CPU time compared to fixed-step simulations. The accompanying test codes are made publicly available to support reproducibility.

Computer Methods in Applied Mechanics and EngineeringVol. 463
University of Minnesota (US), Nanjing University of Science and Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National University's Basic Research Foundation of China
Openalex Percentile: Top 9%
Numerical methods for differential equations
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