Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field
Landslides significantly threaten lives and infrastructure, especially in seismically active regions. This study conducts a probabilistic analysis of seismic landslide runout behavior, leveraging a large-deformation finite-element (LDFE) model that accounts for the three-dimensional (3D) spatial var...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Journal of Rock Mechanics and Geotechnical Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674775524005201 |
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| author | Xuejian Chen Shunping Ren Kai Yao Rita Leal Sousa |
| author_facet | Xuejian Chen Shunping Ren Kai Yao Rita Leal Sousa |
| author_sort | Xuejian Chen |
| collection | DOAJ |
| description | Landslides significantly threaten lives and infrastructure, especially in seismically active regions. This study conducts a probabilistic analysis of seismic landslide runout behavior, leveraging a large-deformation finite-element (LDFE) model that accounts for the three-dimensional (3D) spatial variability and cross-correlation in soil strength — a reflection of natural soils' inherent properties. LDFE model results are validated by comparing them against previous studies, followed by an examination of the effects of univariable, uncorrelated bivariable, and cross-correlated bivariable random fields on landslide runout behavior. The study's findings reveal that integrating variability in both friction angle and cohesion within uncorrelated bivariable random fields markedly influences runout distances when compared with univariable random fields. Moreover, the cross-correlation of soil cohesion and friction angle dramatically affects runout behavior, with positive correlations enlarging and negative correlations reducing runout distances. Transitioning from two-dimensional (2D) to 3D analyses, a more realistic representation of sliding surface, landslide velocity, runout distance and final deposit morphology is achieved. The study highlights that 2D random analyses substantially underestimate the mean value and overestimate the variability of runout distance, underscoring the importance of 3D modeling in accurately predicting landslide behavior. Overall, this work emphasizes the essential role of understanding 3D cross-correlation in soil strength for landslide hazard assessment and mitigation strategies. |
| format | Article |
| id | doaj-art-a9f4dd935c044eab97c8c3f1bf317fca |
| institution | Kabale University |
| issn | 1674-7755 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Rock Mechanics and Geotechnical Engineering |
| spelling | doaj-art-a9f4dd935c044eab97c8c3f1bf317fca2025-01-17T04:49:13ZengElsevierJournal of Rock Mechanics and Geotechnical Engineering1674-77552025-01-01171385398Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random fieldXuejian Chen0Shunping Ren1Kai Yao2Rita Leal Sousa3Department of Civil and Urban Engineering, New York University, Abu Dhabi, 129188, United Arab Emirates; Corresponding author.State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, ChinaShenzhen Research Institute of Shandong University, Shenzhen, 518057, China; School of Qilu Transportation, Shandong University, Jinan, 250002, ChinaDepartment of Civil and Urban Engineering, New York University, Abu Dhabi, 129188, United Arab EmiratesLandslides significantly threaten lives and infrastructure, especially in seismically active regions. This study conducts a probabilistic analysis of seismic landslide runout behavior, leveraging a large-deformation finite-element (LDFE) model that accounts for the three-dimensional (3D) spatial variability and cross-correlation in soil strength — a reflection of natural soils' inherent properties. LDFE model results are validated by comparing them against previous studies, followed by an examination of the effects of univariable, uncorrelated bivariable, and cross-correlated bivariable random fields on landslide runout behavior. The study's findings reveal that integrating variability in both friction angle and cohesion within uncorrelated bivariable random fields markedly influences runout distances when compared with univariable random fields. Moreover, the cross-correlation of soil cohesion and friction angle dramatically affects runout behavior, with positive correlations enlarging and negative correlations reducing runout distances. Transitioning from two-dimensional (2D) to 3D analyses, a more realistic representation of sliding surface, landslide velocity, runout distance and final deposit morphology is achieved. The study highlights that 2D random analyses substantially underestimate the mean value and overestimate the variability of runout distance, underscoring the importance of 3D modeling in accurately predicting landslide behavior. Overall, this work emphasizes the essential role of understanding 3D cross-correlation in soil strength for landslide hazard assessment and mitigation strategies.http://www.sciencedirect.com/science/article/pii/S1674775524005201Landslide runoutLarge-deformation simulationCross-correlationRunout distanceSoil spatial variabilityLandslide hazard assessment |
| spellingShingle | Xuejian Chen Shunping Ren Kai Yao Rita Leal Sousa Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field Journal of Rock Mechanics and Geotechnical Engineering Landslide runout Large-deformation simulation Cross-correlation Runout distance Soil spatial variability Landslide hazard assessment |
| title | Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field |
| title_full | Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field |
| title_fullStr | Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field |
| title_full_unstemmed | Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field |
| title_short | Large-deformation finite-element modeling of seismic landslide runout: 3D probabilistic analysis with cross-correlated random field |
| title_sort | large deformation finite element modeling of seismic landslide runout 3d probabilistic analysis with cross correlated random field |
| topic | Landslide runout Large-deformation simulation Cross-correlation Runout distance Soil spatial variability Landslide hazard assessment |
| url | http://www.sciencedirect.com/science/article/pii/S1674775524005201 |
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