Simulation of a Submarine Landslide Using the Coupled Material Point Method

Jiajie, Shi; Zhang, Wei; Wang, Bin; Chengyang, LI; Pan, Bo

doi:10.1155/2020/4392581

Cited by 4 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a meshless numerical method, MPM can introduce various soil constitutive models and address fluid-solid coupling. Compared with other numerical methods, MPM holds the potential of gaining higher computational efficiency and numerical stability [33,34].…”

Section: Discussionmentioning

confidence: 99%

Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective

Wang

Zhang

Chaoyang

et al. 2020

Advances in Civil Engineering

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective

Wang

Zhang

Chaoyang

et al. 2020

Advances in Civil Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Landslides are classified as one of the most important physical hazards affecting human life, infrastructure and sustainable development (Alsabhan et al 2022;Nwazelibe et al 2022). Landslide event occurs when the shear strength of the material, that forms the slope, is greater than gravity and other types of shear stress within a path (Reichenbach et al 2018a, b;Shi et al 2020;Karaman et al 2022). Unlike other natural hazards, the landslide risk assessment process is described as complex due to the difficulty of landslide inventorization and the spatial interaction between the motivating factors (Naceur et al 2022;Jana et al 2019;Valiante et al 2021;Hateffard et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria

et al. 2022

View full text Add to dashboard Cite

Landslide vulnerability prediction maps are among the most important tools for managing natural hazards associated with slope stability in river basins that affect ecosystems, properties, infrastructure and society. Landslide events are among the most hazardous patterns of slope instability in the coastal mountains of Syria. Thus, the main goals of this research are to evaluate the performance of three different statistical outputs: Frequency Ratio (FR), Statistical Index (SI) and Index of Entropy (IoE) and therefore map landslide susceptibility in the coastal region of Syria. To this end, we identified a total of 446 locations of landslide events, based on the preliminary inventory map derived from fieldwork and high-resolution imagery surveys. In this regard, 13 geo-environmental factors that have a high influence on landslides were selected for landslide susceptibility mapping. The results indicated that the FR method outperformed the SI and IoE models with a high AUC of 0.824 and better adaptability, followed by the SI with 0.791. According to the SCAI values, although the FR model achieved the best reliability, the other two models also showed good capability in determining landslide susceptibility. The result of FR-based modelling showed that 18.51 and 19.98% of the study area fall under the high and very high landslide susceptible categories, respectively. In the map generated by the SI method, about 36% of the study area is classified as having high or very high landslide sensitivity. In the IoE method, whereas 14.18 and 25.62% of the study area were classified as “very high susceptible” and “high susceptible,” respectively. The relative importance analysis demonstrated that the slope aspects, lithology and proximity to roads effectively motivated the acceleration of slope material instability and were the most influential in both the FR and SI models. On the other hand, the IoE model indicated that the proximity to faults and roads, along with the lithology factor, were important influences in the formation of landslide events. As a result, the statistical bivariate models-based landslide mapping provided a reliable and systematic approach to guide the long-term strategic planning procedures in the study area.

show abstract

Efficient evaluation of run-out distance of slope failure under excavation

Liu

Zhang

et al. 2022

Engineering Geology

View full text Add to dashboard Cite

Simulation of a Submarine Landslide Using the Coupled Material Point Method

Cited by 4 publications

References 50 publications

Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective

Forecasting Disastrous Characteristics of Highway Landslides Using the Material Point Method: A Surcharge-Induced Perspective

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria

Efficient evaluation of run-out distance of slope failure under excavation

Contact Info

Product

Resources

About