Numerical analysis of submarine landslides using a smoothed particle hydrodynamics depth integral mo

来源 :Acta Oceanologica Sinica | 被引量 : 0次 | 上传用户:aiaiai19870310
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Submarine landslides can cause severe damage to marine engineering structures. Their sliding velocity and runout distance are two major parameters for quantifying and analyzing the risk of submarine landslides.Currently, commercial calculation programs such as BING have limitations in simulating underwater soil movements. All of these processes can be consistently simulated through a smoothed particle hydrodynamics(SPH) depth integrated model. The basis of the model is a control equation that was developed to take into account the effects of soil consolidation and erosion. In this work, the frictional rheological mode has been used to perform a simulation study of submarine landslides. Time-history curves of the sliding body’s velocity, height,and length under various conditions of water depth, slope gradient, contact friction coefficient, and erosion rate are compared; the maximum sliding distance and velocity are calculated; and patterns of variation are discussed.The findings of this study can provide a reference for disaster warnings and pipeline route selection. Their sliding velocity and runout distance are two major parameters for quantifying and analyzing the risk of submarine landslides. Current, commercial calculation programs such as BING have limitations in simulating underwater soil movements. All of these The basis of the model is a control equation that was developed to take into account the effects of soil consolidation and erosion. In this work, the frictional rheological mode has has used to perform a simulation study of submarine landslides. Time-history curves of the sliding body’s velocity, height, and length under various conditions of water depth, slope gradient, contact friction coefficient, and erosion rate are compared; the maximum sliding distance and velocity are calculated; and patterns of variation are discussed. findings of thi s study can provide a reference for disaster warnings and pipeline route selection.
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