Engineering Geology最新文献

Noise-resistant automatic seismic framework for monitoring rockslide slope 用于岩滑边坡监测的抗噪自动地震框架

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-02-01 DOI: 10.1016/j.enggeo.2026.108574

Chung-Ray Chu , Chiao-Yin Lu , Guan-Wei Lin , En-Jui Lee , Che-Hsin Liu , Chih-Hsin Chang , Hsiao-Yu Huang

{"title":"Noise-resistant automatic seismic framework for monitoring rockslide slope","authors":"Chung-Ray Chu , Chiao-Yin Lu , Guan-Wei Lin , En-Jui Lee , Che-Hsin Liu , Chih-Hsin Chang , Hsiao-Yu Huang","doi":"10.1016/j.enggeo.2026.108574","DOIUrl":"10.1016/j.enggeo.2026.108574","url":null,"abstract":"<div><div>National seismic networks provide high-quality data for monitoring large-scale landslides within tens of kilometers, but are difficult to detect small-scale slope failures due to signal attenuation. Denser local networks can enhance monitoring capabilities focusing on prone slopes that potentially cause fatalities and economic losses, but being close to human settlements introduces significant noise interference. This study developed a noise-resistant automatic algorithm including three stages: detection, noise elimination, and classification, for a local seismic network deployed near villages to monitor an active rockslide slope. The main concept is to effectively filter diverse and abundant surrounding noise and purify the dataset before feeding it into the machine learning classifier. During a one-year examination period, 98.6% of non-target sections, including numerous calm ambiences and random noise, were filtered out by STA/LTA, signal-to-noise ratio, and cross-correlation in the detection and noise elimination stages. As a result, the remaining dataset primarily consisted of earthquake and rockslide signals in approximately a 5:1 ratio, with only a few vehicle passages and random noise. This denoised dataset was subsequently used to train a Random Forest classifier with two attribute clusters, achieving good recall rates of 78% for rockslides and 99% for earthquakes. However, approximately 20% of manually labeled rockslides were misclassified as earthquakes due to their overlapping attribute ranges that cause certain distinctive attributes to resemble earthquake characteristics. This study establishes an applicable framework for monitoring slope hazards near vulnerable villages, demonstrating that effective noise filtering can significantly improve the reliability of classification in seismic monitoring implemented in high-noise environments.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108574"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

STGCN-based inversion of landslide creep parameters using GNSS displacement time series 基于stgcn的GNSS位移时间序列滑坡蠕变参数反演

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-30 DOI: 10.1016/j.enggeo.2026.108602

Duo Wang , Qin Zhang , Guanwen Huang , Yuan Du

{"title":"STGCN-based inversion of landslide creep parameters using GNSS displacement time series","authors":"Duo Wang , Qin Zhang , Guanwen Huang , Yuan Du","doi":"10.1016/j.enggeo.2026.108602","DOIUrl":"10.1016/j.enggeo.2026.108602","url":null,"abstract":"<div><div>The highly nonlinear and spatiotemporal nature of landslide deformation poses significant challenges to the accurate estimation of landslide creep parameters. This study proposes a novel GNSS-based method to invert landslide creep parameters, integrating both spatial and temporal characteristics. First, the Burgers creep constitutive model is employed to describe the time-dependent deformation behavior of the landslide. Next, an orthogonal experimental design is used to conduct numerical creep simulations and generate synthetic displacement time series for model training. Based on these data, a Spatiotemporal Graph Convolutional Network (STGCN) is constructed to capture both spatial correlations and temporal dynamics. Finally, the inverted parameters are validated through forward numerical simulations. The case study results indicate that the Burgers creep constitutive model effectively reproduces nonlinear creep behavior and captures the spatial evolution of deformation. The simulated results show close agreement with the monitored displacements, yielding an average Mean Absolute Error (MAE) of 0.010 m. Compared with the traditional back-propagation neural network (BPNN), the STGCN reduces the MAE by 54.5%, thereby confirming the reliability of the proposed method. The results demonstrate that this approach provides a powerful tool for simulating the spatiotemporal evolution of landslides.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108602"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An innovative transform mapping and visualization of fracture persistence from borehole-group image analysis: MFPbia 基于井眼群图像分析的裂缝持续性创新变换映射与可视化：MFPbia

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-23 DOI: 10.1016/j.enggeo.2026.108583

Zhenhao Xu , Yihui Li , Dongdong Pan , Shengzhe Zhao

{"title":"An innovative transform mapping and visualization of fracture persistence from borehole-group image analysis: MFPbia","authors":"Zhenhao Xu , Yihui Li , Dongdong Pan , Shengzhe Zhao","doi":"10.1016/j.enggeo.2026.108583","DOIUrl":"10.1016/j.enggeo.2026.108583","url":null,"abstract":"<div><div>Fracture persistence is a key parameter for evaluating the geological stability in unexcavated underground sections. It governs potential slurry migration pathways and strongly affects the overall efficiency of grouting. We propose an automated workflow for mapping fracture persistence. First, fracture plane attributes—dip azimuth, dip angle, spatial location, and dispersion—are digitally quantified from borehole data to construct a standardized database. Large-scale fracture occurrences are extracted using these persistence criteria. This provides crucial data on the maximum chord length of the fracture and the corresponding convex polygonal area. Furthermore, intelligent algorithms for persistence judgment and feature extraction are developed, enabling efficient analysis of borehole-induced fractures in tunnels. Numerical simulations spanning diverse borehole and fracture configurations confirm feasibility and demonstrate utility for 3-D visualization and fracture modeling. Additionally, the proposed method has been successfully applied in an oil depot project. This showcases its ability to swiftly and accurately determine the persistence of multiple fracture surfaces. The large-scale fracture information derived from this method offers valuable insights for ensuring the safety of tunnel construction.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108583"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strain localization in rock: From multi-scale measurement to AI-driven prediction 岩石应变局部化：从多尺度测量到人工智能驱动预测

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-27 DOI: 10.1016/j.enggeo.2026.108594

Shijiao Yang , Qing Du , Jianchang Yan , Wenhua Liu , Jiancheng Huang , Danli Li

{"title":"Strain localization in rock: From multi-scale measurement to AI-driven prediction","authors":"Shijiao Yang , Qing Du , Jianchang Yan , Wenhua Liu , Jiancheng Huang , Danli Li","doi":"10.1016/j.enggeo.2026.108594","DOIUrl":"10.1016/j.enggeo.2026.108594","url":null,"abstract":"<div><div>Strain localization, spanning from microscopic mineral fabrics to crustal-scale fault zones, fundamentally controls failure modes in natural geological systems and rock engineering. While individual measurement and modeling techniques have advanced significantly, an integrated framework bridging these approaches remains lacking. This review systematically synthesizes multi-scale measurement technologies, numerical simulation methods, and AI-driven prediction approaches for rock strain localization. Contact-based techniques including strain gauges, LVDT, distributed optical fiber sensing, and acoustic emission are examined alongside non-contact optical methods such as digital image correlation and X-ray computed tomography. Continuum and discontinuum numerical frameworks are compared, and AI methodologies from conventional machine learning to physics-informed neural networks are evaluated, with adaptability analysis for different monitoring data types. Three critical insights emerge: (1) multi-source data fusion is essential under geological heterogeneity; (2) physics-based constraints ensure data-driven model reliability; and (3) a gap persists between post-failure analysis and predictive capability. These findings inform rockburst warning, tunnel support design, slope stability assessment, and reservoir management. This review provides a framework for advancing from phenomenological description to mechanistic prediction and from laboratory understanding to engineering geological application.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108594"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scale-dependent connectivity behavior in multi-clustered fracture systems 多簇裂缝系统中尺度相关的连通性

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-29 DOI: 10.1016/j.enggeo.2026.108597

Weiwei Zhu , Shengwen Qi , Xupeng He , Bowen Zheng , Songfeng Guo , Yu Zou , Wenhai Lei , Wang Zhang , Hussein Hoteit , Moran Wang , Manchao He , Wenjiao Xiao

{"title":"Scale-dependent connectivity behavior in multi-clustered fracture systems","authors":"Weiwei Zhu , Shengwen Qi , Xupeng He , Bowen Zheng , Songfeng Guo , Yu Zou , Wenhai Lei , Wang Zhang , Hussein Hoteit , Moran Wang , Manchao He , Wenjiao Xiao","doi":"10.1016/j.enggeo.2026.108597","DOIUrl":"10.1016/j.enggeo.2026.108597","url":null,"abstract":"<div><div>Fracture network connectivity fundamentally controls subsurface fluid flow and rock mass behavior across spatial scales, yet determining the representative elementary volume (REV) remains a core challenge in geological system characterization. This study investigates scale-dependent connectivity through systematic analysis of natural outcrop data and artificial discrete fracture networks (DFNs). We implement a novel connectivity metric, <span><math><msub><mrow><mi>C</mi></mrow><mrow><mi>t</mi></mrow></msub></math></span>, integrating both intra-cluster connectivity and inter-cluster interactions, and propose the Standard Deviation Stability Criterion (SDSC) for objective REV determination using second-order statistical measures. Analysis of 63 natural outcrop maps and various artificial DFN configurations reveals several key findings. First, fracture network connectivity exhibits pronounced scale-dependence with REV values approaching the same order of magnitude as the investigated systems, with mean REV values of 0.586 for natural outcrops and exceeding 0.2 for artificial networks. Second, preferential orientations increase REV requirements, particularly under stress conditions where only critically stressed fractures remain permeable, with fracture clustering further amplifying this effect. Third, in-situ stress conditions substantially increase REV requirements, with values nearly doubling when only critically stressed fractures remain active. Complete sealing creates the most challenging REV determination due to orientation selectivity, while partial sealing provides intermediate behavior by preserving orientation diversity. These findings demonstrate that obtaining representative volumes through conventional sampling presents fundamental limitations and provide critical insights for enhancing predictive models in subsurface engineering and environmental applications.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108597"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Symbolic regression-based prediction of coefficient of permeability for granular soils 基于符号回归的颗粒土渗透系数预测

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-27 DOI: 10.1016/j.enggeo.2026.108593

Yerim Yang , Hangseok Choi , Younseo Kim , Kibeom Kwon

{"title":"Symbolic regression-based prediction of coefficient of permeability for granular soils","authors":"Yerim Yang , Hangseok Choi , Younseo Kim , Kibeom Kwon","doi":"10.1016/j.enggeo.2026.108593","DOIUrl":"10.1016/j.enggeo.2026.108593","url":null,"abstract":"<div><div>Predicting the coefficient of permeability in granular soils is critical for effective groundwater flow analysis. However, existing predictive models are often constrained by limited datasets and a lack of interpretable formulations. This study developed a predictive formula for the coefficient of permeability in saturated granular soils using symbolic regression applied to a large-scale global database (CG/KSAT/7/1278) comprising 1278 samples. Exploratory data analysis identified both individual and combined effects of grain size and volumetric state parameters on soil permeability, guiding the selection of key predictors. Symbolic regression systematically explored functional forms and optimized coefficients, resulting in a closed-form expression based solely on grain size parameters. Compared with ten existing models, the proposed formula achieved superior predictive performance, including the lowest mean absolute error of 0.419. Its predictive stability was further demonstrated by minimal and balanced over- and under-predictions across the entire permeability range. External validation using an independent dataset and laboratory permeability tests confirmed its generalizability. In conclusion, this study presents a generalized and interpretable formula that advances the understanding of flow behavior and improves practical permeability estimation in granular soils.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108593"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Seismic response and failure mechanism of pile foundations at different relative positions and rock-socketed depths on deep deposit slopes 深埋边坡不同相对位置和嵌岩深度桩基地震反应及破坏机理

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-02-02 DOI: 10.1016/j.enggeo.2026.108604

Zhongping Yang , Shunbo Zhang , Hua Liu , Miao Liu , Yonghua Li , Qingqiang Guan

{"title":"Seismic response and failure mechanism of pile foundations at different relative positions and rock-socketed depths on deep deposit slopes","authors":"Zhongping Yang , Shunbo Zhang , Hua Liu , Miao Liu , Yonghua Li , Qingqiang Guan","doi":"10.1016/j.enggeo.2026.108604","DOIUrl":"10.1016/j.enggeo.2026.108604","url":null,"abstract":"<div><div>In southwestern China, rock-socketed piles are extensively utilised on deep deposit slopes (DDPs), where numerous deposit landslides and the deformation and failure of pile foundations have occurred following earthquakes. This research conducted a series of shaking table tests to assess the impact of seismic action on the seismic response and failure mechanisms of pile foundations at different relative positions (<em>λ</em>) and rock-socketed depths (RSDs) on DDPs. The findings of this study indicate that the nonlinear characteristics of the deposits significantly impact the dynamic properties and acceleration response of both the deposits and the pile foundations, resulting in fluctuations. Pile foundations and deposits near the slope surface experience vibration phase differences and relative motion, resulting in a failure mode characterised by shallow sliding, which notably increases the strain and bending moments in the upper sections of the pile foundations. Both <em>λ</em> and RSD influence the seismic response, deformation, and forces of pile foundations via inertial effects and pile-deposit interaction. The seismic response of the pile (<em>λ</em> = 0) is the most pronounced, whereas the pile-deposit interaction (<em>λ</em> = 1) is the most intense (particularly at depths ranging from 2<em>D</em> to 5<em>D</em>). Contrastingly, the RSD can effectively mitigate these effects on both deposits and pile foundations, and this inhibitory effect is particularly significant for pile foundations with depths exceeding 10<em>D</em>. Based on these findings, this research provides several recommendations concerning the seismic design of pile foundations at different <em>λ</em> and RSDs on DDPs.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108604"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of grain size on landslide–forest interaction 粒径对滑坡-森林相互作用的影响

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-02-09 DOI: 10.1016/j.enggeo.2026.108613

Haiming Liu, Andrea Pasqua, Hannah Nichols, Alessandro Leonardi

{"title":"Effects of grain size on landslide–forest interaction","authors":"Haiming Liu, Andrea Pasqua, Hannah Nichols, Alessandro Leonardi","doi":"10.1016/j.enggeo.2026.108613","DOIUrl":"10.1016/j.enggeo.2026.108613","url":null,"abstract":"<div><div>Forests play an essential but poorly-understood role in mitigating landslide runout by providing mechanical resistance and dissipating flow energy. Despite growing interest, existing models treat forests as friction modifiers or generic porous obstacles, and largely ignore how grain size controls retention and jamming. This study experimentally investigates and resolves the influence of grain size, slope angle, and tree spacing on landslide–forest interactions using reduced-scale flume tests with different granular materials. Results show that although forests can reduce flow mobility, preferential flow paths may develop along trees, leading to ineffective energy dissipation along the flow flanks. For fine-grained flows composed of sand, the deposition behaviour is governed by the normalised slope angle and the transverse blockage ratio. For coarse-grained flows composed of gravel, the deposition and retention are controlled by two distinct jamming mechanisms: frontal deposit-induced jamming and arching-induced jamming. Frontal deposit-induced jamming occurs in all jamming cases, whereas arching-induced jamming only develops when tree spacing is smaller than three times of the grain size. We capture this variety of phenomena within two phase diagrams for fine-grained and coarse-grained flows. The phase diagrams provide a direct screening rule for minimum tree density and slope condition required to ensure jamming for a given grain size distribution.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108613"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the catastrophe mechanism and evolution of anti-frost subgrade in high-speed railways under extreme climatic events 研究极端气候事件下高速铁路防冻路基的突变机制及演变

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-01-29 DOI: 10.1016/j.enggeo.2026.108596

Bowen Tai , Zurun Yue , Pengcheng Wang , Jingpeng Liu

{"title":"Investigating the catastrophe mechanism and evolution of anti-frost subgrade in high-speed railways under extreme climatic events","authors":"Bowen Tai , Zurun Yue , Pengcheng Wang , Jingpeng Liu","doi":"10.1016/j.enggeo.2026.108596","DOIUrl":"10.1016/j.enggeo.2026.108596","url":null,"abstract":"<div><div>The exacerbation of frost damage in subgrade structures of high-speed railways (HSR) in cold regions, often triggered by extreme climatic events such as severe cold spells, heavy snowfall, and intense rainfall infiltration. To ensure the operational integrity of HSR in seasonally frozen soil regions, it is imperative to investigate the impacts of extreme climate conditions on the stability of typical anti-frost subgrades. This study employs an integrated methodology combining field monitoring, model development, numerical simulations, and theoretical analysis. First, the differential influences of various climatic scenarios on the hydrothermal behavior of seasonally frozen soil are examined. Subsequently, the coupled water-heat-deformation characteristics of a standard anti-frost subgrade structure are analyzed, leading to the development of a novel fully coupled water-heat-strain model. Finally, the model is utilized to predict and assess the structural stability under extreme climate events. Key findings include: (1) marked differential responses in the hydrothermal regime of seasonally frozen soil under varying climate conditions; (2) a time-lag in variations of temperature and moisture with increasing depth; (3) synergistic effects of compound extreme weather events significantly aggravate subgrade damage; and (4) the necessity of holistic consideration of extreme climate, engineering geological conditions and slope effect in the optimal design of anti-frost layers. These insights not only advance the mechanistic understanding of frost deformation processes under extreme climate, but also provide valuable guidelines for the optimized design of anti-frost infrastructures in cold regions.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108596"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probabilistic models in rock slope kinematic analysis employing the reliability engineering approaches and considering the variability of rock joint orientations 采用可靠度工程方法并考虑岩体节理方向变异性的岩质边坡运动学分析中的概率模型

IF 8.4 1区工程技术

Engineering Geology Pub Date : 2026-03-26 Epub Date: 2026-02-03 DOI: 10.1016/j.enggeo.2026.108592

Ibnu Rusydy , Ghislain Bournival , Ismet Canbulat , Chengguo Zhang

{"title":"Probabilistic models in rock slope kinematic analysis employing the reliability engineering approaches and considering the variability of rock joint orientations","authors":"Ibnu Rusydy , Ghislain Bournival , Ismet Canbulat , Chengguo Zhang","doi":"10.1016/j.enggeo.2026.108592","DOIUrl":"10.1016/j.enggeo.2026.108592","url":null,"abstract":"<div><div>The variability of rock joint orientations significantly influences the type of slope failure, making probability methods crucial in kinematic analysis. This study aims to integrate probability kinematic analysis with reliability engineering methodologies like reliability block diagrams (RBD), event tree analysis (ETA), and fault tree analysis (FTA) to assess slope stability under joint orientation uncertainty. This study also examines the effect of different total friction angles (<em>Φ</em>) and lateral limit angles (<em>γ</em><sub><em>lim</em></sub>) using the response surface methodology (RSM). The linear and circular goodness-of-fit tests determine the statistical distribution, allowing 100,000 random joint orientation values to be generated using Latin hypercube sampling (LHS). Results revealed that all three engineering reliability approaches yielded consistent output when integrated with probabilistic kinematic analysis. The probabilistic kinematic analysis and FTA methods analyses failure systems and effectively estimate the probability of occurrence. Whilst RBD evaluates successful systems and reliability. ETA offers both probabilities and is easier to implement, making it suitable for future applications. The RSM shows that the probability of occurrence increases when <em>Φ</em> is lower and <em>γ</em><sub><em>lim</em></sub> is high, concluding that selecting the appropriate <em>Φ</em> is crucial for determining the probability of occurrence. However, in wedge failure, the regression coefficient (<em>β₂</em>) ranges from 2 × 10<sup>−17</sup> to 0.0043 for <em>γ</em><sub><em>lim</em></sub> between 80° and 90°, indicating a low effect on the probability of occurrence.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108592"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0