A deterministic-stochastic DFN-DEM numerical modeling method with application in stability of fractured rock slope in BDa Hydropower Station

IF 6.9 1区工程技术 Q1 ENGINEERING, GEOLOGICAL

Engineering Geology Pub Date : 2025-05-05 DOI:10.1016/j.enggeo.2025.108111

Huanling Wang , Wenxiu Wang , Jiaxiu Yang , Yizhe Wu , Wei Bao , Long Yan

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引用次数: 0

Abstract

Long-term geological processes have resulted in the formation of complex fracture networks within rock masses, posing significant safety risks to hydropower projects. One of the challenges in hydraulic geotechnics is constructing a discrete fracture network (DFN) model that accurately represents real geological conditions based on exploration data and to identify potential deformation and failure modes in fractured rock slopes. This study proposes a deterministic-stochastic DFN-DEM modeling framework for fractured rock slopes, aiming to achieve a realistic numerical representation of geological conditions and to identify potential deformation and failure mechanisms. The approach integrates multi-source geological data, including deterministic discontinuities derived from tunnel mapping and geological profiles, and stochastic fractures generated from dominant joint sets identified via stereographic projection and probability density functions and the elastic-plastic constitutive model is applied to both rock blocks and discontinuity, enabling the simulation of mechanical responses and failure modes identification under the coupled influence of rock block and discontinuity. Taking the right bank dam shoulder slope of the BDa Hydropower Station as a case study, a three-dimensional DFN-DEM model was developed to simulate slope behavior under natural state and strength reduction conditions. Results indicate that the analysis paradigm captures the spatial distribution of deformation and identifies critical failure modes induced by the interaction of bedding planes, steep fractures, and toppling faults. Targeted reinforcement strategies were implemented and evaluated, demonstrating their effectiveness in controlling excavation-induced deformation. The proposed method offers a practical and robust framework for slope stability analysis failure modes identification and support optimization in fractured rock slope.

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确定性-随机ddn - dem数值模拟方法及其在BDa水电站裂隙岩质边坡稳定性研究中的应用

长期的地质作用导致岩体内形成复杂的裂隙网络，给水电工程带来重大的安全风险。水力岩土工程面临的挑战之一是建立一个离散裂缝网络（DFN）模型，该模型能够准确地表示基于勘探数据的真实地质条件，并识别裂隙岩质边坡的潜在变形和破坏模式。本研究提出了裂隙岩质边坡的确定性-随机ddn - dem建模框架，旨在实现地质条件的真实数值表示，并识别潜在的变形和破坏机制。该方法集成了多源地质数据，包括从隧道测绘和地质剖面中获得的确定性不连续面，以及通过立体投影和概率密度函数识别的优势节理集产生的随机裂缝，并将弹塑性本构模型应用于岩块和不连续面。实现了块体与结构面耦合作用下的力学响应模拟和破坏模式识别。以BDa水电站右岸坝肩坡为例，建立了三维ddn - dem模型，模拟了自然状态和强度折减条件下的边坡行为。结果表明，该分析范式捕捉了变形的空间分布，并识别了层理面、陡缝和倾倒断层相互作用诱发的临界破坏模式。实施并评价了有针对性的加固策略，证明了其在控制开挖变形方面的有效性。该方法为裂隙岩质边坡稳定性分析、破坏模式识别和支护优化提供了一个实用、可靠的框架。

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来源期刊

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.