SPH Implementation of a Dynamic Hypoplastic Model for Seismic Large Deformation Analysis in Slopes

IF 3.6 2区 工程技术 Q2 ENGINEERING, GEOLOGICAL International Journal for Numerical and Analytical Methods in Geomechanics Pub Date : 2025-04-14 DOI:10.1002/nag.3984
Hong-jie Fang, Shun Wang, Xuan Kang, Dian-qing Li, Wei Wu, Barbara Świtała
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Abstract

Accurate modeling of soil behavior under seismic conditions is critical for understanding and mitigating earthquake-induced hazards. In this study, the Dyna–Simhypo model, an enhanced hypoplastic framework incorporating the intergranular strain tensor, is integrated with smoothed particle hydrodynamics (SPH) method for the first time to simulate co-seismic large deformation processes of slopes. The model's performance is validated through cyclic triaxial tests, seismic wave propagation analysis, and large-scale seismic slope simulations. Compared to the original Simhypo model, it eliminates ratcheting and reliably captures shear modulus reduction, damping buildup, and progressive soil degradation under cyclic loading. These advancements enable precise site response evaluations and accurate slope instability predictions, offering a robust tool for seismic hazard assessment.

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边坡地震大变形分析动态欠塑性模型的SPH实现
地震条件下土壤行为的准确建模对于理解和减轻地震引起的危害至关重要。本文首次将含有晶间应变张量的增强型欠塑性框架Dyna-Simhypo模型与光滑颗粒流体力学(SPH)方法相结合,模拟边坡的同震大变形过程。通过循环三轴试验、地震波传播分析和大尺度地震斜坡模拟,验证了模型的性能。与最初的Simhypo模型相比,它消除了棘轮,并可靠地捕获了循环加载下剪切模量的减少、阻尼的积累和土壤的逐渐退化。这些进步使精确的现场反应评估和准确的边坡不稳定性预测成为可能,为地震灾害评估提供了一个强大的工具。
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来源期刊
CiteScore
6.40
自引率
12.50%
发文量
160
审稿时长
9 months
期刊介绍: The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.
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