Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method
Quantitative risk assessment of landslides induced by slope failure is an important precondition for formulating effective disaster prevention, mitigation measures, and establishing a landslide risk warning system. In general, the location of the critical slip surface and the failure mode is unlikel...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/6191933 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556429138984960 |
|---|---|
| author | Ya-Nan Ding Zu-Fang Qi Miao Hu Jin-Zhu Mao Xiao-Cheng Huang |
| author_facet | Ya-Nan Ding Zu-Fang Qi Miao Hu Jin-Zhu Mao Xiao-Cheng Huang |
| author_sort | Ya-Nan Ding |
| collection | DOAJ |
| description | Quantitative risk assessment of landslides induced by slope failure is an important precondition for formulating effective disaster prevention, mitigation measures, and establishing a landslide risk warning system. In general, the location of the critical slip surface and the failure mode is unlikely to be predicted due to the spatial variability in soil. It remains a challenging task to effectively identify the critical slip surface and conduct the efficient risk assessment based on a three-dimensional (3-D) slope with spatial variability. Based on Monte Carlo simulation and the random field method, a quantitative risk evaluation method for slope failure considering the spatial variability of soil parameters is proposed in the study. Compared with a uniform soil slope, the landslide volume, the critical slip surface, and the factor of safety considering the spatial variability of soil are all uncertain; thus, the soil spatial variability has a significant effect on the failure mode and stability of the slope. By using the random finite element method, the critical slip surface of the slope is accurately identified, the corresponding landslide volume and slide distance are calculated, and the modified risk index for a landslide is further enriched, which can provide the reference basis for predicting the landslide deformation, quantitatively evaluating the landslide risk, and mitigating the landslide disaster. |
| format | Article |
| id | doaj-art-819ef437ba844fc9832c0e4d4bc4db14 |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-819ef437ba844fc9832c0e4d4bc4db142025-02-03T05:45:28ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/6191933Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element MethodYa-Nan Ding0Zu-Fang Qi1Miao Hu2Jin-Zhu Mao3Xiao-Cheng Huang4Changjiang Survey Planning Design and Research Co.,Ltd.Changjiang Survey Planning Design and Research Co.,Ltd.State Key Laboratory of Water Resources and Hydropower Engineering ScienceChangjiang Survey Planning Design and Research Co.,Ltd.School of Civil EngineeringQuantitative risk assessment of landslides induced by slope failure is an important precondition for formulating effective disaster prevention, mitigation measures, and establishing a landslide risk warning system. In general, the location of the critical slip surface and the failure mode is unlikely to be predicted due to the spatial variability in soil. It remains a challenging task to effectively identify the critical slip surface and conduct the efficient risk assessment based on a three-dimensional (3-D) slope with spatial variability. Based on Monte Carlo simulation and the random field method, a quantitative risk evaluation method for slope failure considering the spatial variability of soil parameters is proposed in the study. Compared with a uniform soil slope, the landslide volume, the critical slip surface, and the factor of safety considering the spatial variability of soil are all uncertain; thus, the soil spatial variability has a significant effect on the failure mode and stability of the slope. By using the random finite element method, the critical slip surface of the slope is accurately identified, the corresponding landslide volume and slide distance are calculated, and the modified risk index for a landslide is further enriched, which can provide the reference basis for predicting the landslide deformation, quantitatively evaluating the landslide risk, and mitigating the landslide disaster.http://dx.doi.org/10.1155/2022/6191933 |
| spellingShingle | Ya-Nan Ding Zu-Fang Qi Miao Hu Jin-Zhu Mao Xiao-Cheng Huang Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method Advances in Civil Engineering |
| title | Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method |
| title_full | Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method |
| title_fullStr | Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method |
| title_full_unstemmed | Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method |
| title_short | Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method |
| title_sort | probabilistic risk assessment of slope failure in 3 d spatially variable soils by finite element method |
| url | http://dx.doi.org/10.1155/2022/6191933 |
| work_keys_str_mv | AT yananding probabilisticriskassessmentofslopefailurein3dspatiallyvariablesoilsbyfiniteelementmethod AT zufangqi probabilisticriskassessmentofslopefailurein3dspatiallyvariablesoilsbyfiniteelementmethod AT miaohu probabilisticriskassessmentofslopefailurein3dspatiallyvariablesoilsbyfiniteelementmethod AT jinzhumao probabilisticriskassessmentofslopefailurein3dspatiallyvariablesoilsbyfiniteelementmethod AT xiaochenghuang probabilisticriskassessmentofslopefailurein3dspatiallyvariablesoilsbyfiniteelementmethod |