Physical model tests to determine the mechanism of submarine landslides under the effect of sea waves

被引:0
作者
Cong Liu
Shucai Li
Zongqing Zhou
Liping Li
Shaoshuai Shi
Meixia Wang
Chenglu Gao
机构
[1] Shandong University,Geotechnical and Structural Engineering Research Center
来源
Natural Hazards | 2020年 / 102卷
关键词
Submarine landslide; Physical model tests; Stability analysis; Effect of sea waves;
D O I
暂无
中图分类号
学科分类号
摘要
Submarine landslides are a common type of disaster which threaten property and the safety of human life. To effectively prevent and control such disasters, we conduct a series of large-scale physical model tests to determine the mechanism of submarine landslides. First, a large-scale physical model test system is designed and developed, including flume test frame, wave-making system, wave-absorbing system, and data monitoring system. In the tests, we investigate the effect of different sea waves by changing the parameters of the wave-making system and the influence of the slope inclination by constructing different models. Data regarding the wave pressure acting on the slope surface, seepage pressure, and displacement are monitored during the test procedure. The test results show that the seepage pressure in the faults varies cyclically with the sea waves and is lower at internal points than at outcrops. If the wave loading time is sufficiently long, the seepage pressure and displacement deformation in the fault zone will gradually increase. In other words, failures in fault zones precede submarine landslides. The weak fault zone provides the preferred sliding surface, and the sea waves supply the external dynamic energy for submarine landslides. The conclusions provide guidelines for similar engineering and research.
引用
收藏
页码:1451 / 1474
页数:23
相关论文
共 111 条
[1]  
Alejandro G(2017)Hydrological effect of vegetation against rainfall-induced landslides J Hydrol 549 374-387
[2]  
Slobodan B(2012)Analytical modelling of the steady flow of a submarine slide and consequent loading on a pipeline Géotechnique 62 137-146
[3]  
Boukpeti N(2017)Landslide monitoring for risk mitigation by using corner reflector and satellite SAR interferometry: the large landslide of Carlantino (Italy) Catena 151 49-62
[4]  
White DJ(2010)Modeling tsunamis generated by submerged landslides using depth integrated equations Appl Ocean Res 32 343-350
[5]  
Randolph MF(2017)Detection of water infiltration and deformation of unsaturated soils by elastic wave velocity Landslides 14 1715-1730
[6]  
Bovenga F(2016)A geomechanical approach to landslide hazard assessment: the Multiscalar Method for Landslide Mitigation Procedia Eng 158 452-457
[7]  
Pasquariello G(2017)Runout of submarine landslide simulated with material point method J Hydrodyn 29 438-444
[8]  
Pellicani R(2019)Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China Nat Hazards 97 579-609
[9]  
Cecioni C(2013)Experimental study on cascading landslide dam failures by upstream flows Landslides 10 633-643
[10]  
Bellotti G(2016)Multimodal method for coseismic landslide hazard assessment Eng Geol 212 146-160