A probabilistic prediction method for delayed breakage of rockfill specimens considering strength dispersion

IF 6.2 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers and Geotechnics Pub Date : 2025-08-01 Epub Date: 2025-04-09 DOI:10.1016/j.compgeo.2025.107271

Xinjie Zhou, Shichun Chi, Yufeng Jia, Yu Guo, Shihao Yan

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Abstract

The delayed breakage of particles significantly affects the long-term mechanical properties of rockfill materials. This study examines the effects of particle strength dispersion on the distribution of time-dependent strength using fracture mechanics and probabilistic methods. Subsequently, the distribution of normalized maximum contact force (NMCF), defined as the ratio of the maximum contact force to instantaneous strength, for specimens with uniform particle size is derived using extreme value theory and Discrete Element Method (DEM). Based on this analysis, the probabilities of delayed breakage in rockfill specimens over various time intervals are calculated using a joint probability delayed breakage criterion. The feasibility of the proposed method is validated by comparing theoretical calculation with DEM triaxial creep simulation results that accounted for particle breakage. The findings offer innovative tools and theoretical insights for understanding and predicting the particle delayed breakage behavior of rockfill materials and for developing macro–micro creep crushing constitutive models.

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考虑强度分散的堆石料延迟破坏概率预测方法

颗粒的延迟破碎对堆石料的长期力学性能有显著影响。本研究利用断裂力学和概率方法考察了颗粒强度分散对随时间变化的强度分布的影响。随后，利用极值理论和离散元法（DEM）推导了均匀粒径试样的归一化最大接触力（NMCF）分布，NMCF定义为最大接触力与瞬时强度之比。在此基础上，采用联合概率延迟破坏准则计算了不同时间间隔内堆石料试件的延迟破坏概率。将理论计算结果与考虑颗粒破碎的DEM三轴蠕变模拟结果进行对比，验证了该方法的可行性。研究结果为理解和预测堆石料的颗粒延迟破坏行为以及建立宏观-微观蠕变破碎本构模型提供了创新的工具和理论见解。

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来源期刊

Computers and Geotechnics 地学-地球科学综合

CiteScore

9.10

自引率

15.10%

发文量

438

审稿时长

45 days

期刊介绍： The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.