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

Cong Liu (), Shucai Li, Zongqing Zhou (), Liping Li, Shaoshuai Shi, Meixia Wang and Chenglu Gao
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Cong Liu: Shandong University
Shucai Li: Shandong University
Zongqing Zhou: Shandong University
Liping Li: Shandong University
Shaoshuai Shi: Shandong University
Meixia Wang: Shandong University
Chenglu Gao: Shandong University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 102, issue 3, No 35, 1474 pages

Abstract: Abstract 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.

Keywords: Submarine landslide; Physical model tests; Stability analysis; Effect of sea waves (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-020-03982-1

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