Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective
Precisely forecasting the disastrous characteristics of landslides can address the optimized preliminary design of the highway landslide stabilization. In this paper, taking the surcharge-induced landslides as an example, we developed the models of the material point method (MPM), a novel meshless n...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8859344 |
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| author | Jian Wang Wei Zhang Chao-yang Xie Qian Xiao Yu-chen Zhu Bo Pan |
| author_facet | Jian Wang Wei Zhang Chao-yang Xie Qian Xiao Yu-chen Zhu Bo Pan |
| author_sort | Jian Wang |
| collection | DOAJ |
| description | Precisely forecasting the disastrous characteristics of landslides can address the optimized preliminary design of the highway landslide stabilization. In this paper, taking the surcharge-induced landslides as an example, we developed the models of the material point method (MPM), a novel meshless numerical method, to calculate the large deformation of the highway landslides, with the affordable computing power. After convincing verification of the MPM model to simulate a surcharge-induced soil landslide, 32 typical postfailure scenarios were analyzed to obtain the highway landslide run-out processes and disastrous characteristics, such as the sliding distance and speed of the leading edge and sliding body morphology. Moreover, linear regression equations of the maximal sliding distance and speed were deduced after verification, to forecast the reasonable avoiding distance. The maximal sliding distance and speed were found to be negatively linearly correlated with the internal frictional angle and cohesion of the soil, and positively linearly correlated with the surcharge and the slope angle, respectively. Optimized preliminary design, of the highways in the mountainous and hilly areas, can be performed based on those insights. |
| format | Article |
| id | doaj-art-5cf213aa6d894ed99fc93926430e3ea3 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-5cf213aa6d894ed99fc93926430e3ea32025-02-03T00:58:57ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88593448859344Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced PerspectiveJian Wang0Wei Zhang1Chao-yang Xie2Qian Xiao3Yu-chen Zhu4Bo Pan5School of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, ChinaPrecisely forecasting the disastrous characteristics of landslides can address the optimized preliminary design of the highway landslide stabilization. In this paper, taking the surcharge-induced landslides as an example, we developed the models of the material point method (MPM), a novel meshless numerical method, to calculate the large deformation of the highway landslides, with the affordable computing power. After convincing verification of the MPM model to simulate a surcharge-induced soil landslide, 32 typical postfailure scenarios were analyzed to obtain the highway landslide run-out processes and disastrous characteristics, such as the sliding distance and speed of the leading edge and sliding body morphology. Moreover, linear regression equations of the maximal sliding distance and speed were deduced after verification, to forecast the reasonable avoiding distance. The maximal sliding distance and speed were found to be negatively linearly correlated with the internal frictional angle and cohesion of the soil, and positively linearly correlated with the surcharge and the slope angle, respectively. Optimized preliminary design, of the highways in the mountainous and hilly areas, can be performed based on those insights.http://dx.doi.org/10.1155/2020/8859344 |
| spellingShingle | Jian Wang Wei Zhang Chao-yang Xie Qian Xiao Yu-chen Zhu Bo Pan Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective Advances in Civil Engineering |
| title | Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective |
| title_full | Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective |
| title_fullStr | Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective |
| title_full_unstemmed | Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective |
| title_short | Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective |
| title_sort | forecasting disastrous characteristics of highway landslides using the material point method a surcharge induced perspective |
| url | http://dx.doi.org/10.1155/2020/8859344 |
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