A data-driven method in predicting crack coalescence based on pre-existing flaw geometry

IF 8.4 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Chunjiang Zou , Boyuan Chen , Huakun Yu , Sihan Yan , Ruoge Wang , Ruoxi Zhu , Yunshun Li , Daokun Zhang
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引用次数: 0

Abstract

The coalescence of the discontinuities often leads to rock mass failure. This study develops a novel data-driven approach to predict crack coalescence in Carrara marble with double pre-existing flaws, focusing on flaw geometric parameters: inclination angle (β), bridging angle (α), and ligament length (L). Using 252 groups of numerical simulations validated against physical Carrara marble experiments, a Gaussian Process classifier was trained to predict coalescence types (no coalescence, direct, indirect) with high accuracy. Results reveal direct coalescence dominates (78 %), with β exerting the strongest influence (40 % weight). Non-linear relationships between flaw geometry and coalescence were quantified, enabling probabilistic predictions for untested configurations. This method eliminates the need for resource-intensive simulations or experiments, offering an efficient tool for failure forecasting in the future. Findings can enhance rock mass stability assessments in tunneling, mining, and rock slope, and will advance predictive modeling in geohazard mitigation.
基于预先存在缺陷几何的数据驱动裂纹合并预测方法
不连续面的合并常常导致岩体破坏。该研究开发了一种新的数据驱动方法来预测具有双重预先存在缺陷的卡拉拉大理石的裂纹合并,重点关注缺陷的几何参数:倾角(β),桥接角(α)和韧带长度(L)。利用物理卡拉拉大理石实验验证的252组数值模拟,训练高斯过程分类器以高精度预测聚结类型(无聚结,直接,间接)。结果显示直接聚结占主导地位(78%),β的影响最大(40%)。对缺陷几何形状和合并之间的非线性关系进行了量化,从而可以对未经测试的结构进行概率预测。该方法消除了资源密集的模拟或实验的需要,为未来的故障预测提供了有效的工具。研究结果可以加强隧道、采矿和岩石边坡的岩体稳定性评估,并将推进地质灾害减灾的预测建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Engineering Geology
Engineering Geology 地学-地球科学综合
CiteScore
13.70
自引率
12.20%
发文量
327
审稿时长
5.6 months
期刊介绍: Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.
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