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基于水槽模型试验的颗粒泥石流破坏行为数值模拟

Numerical simulation of failure behavior of granular debris flows based on flume model tests.

作者信息

Zhou Jian, Li Ye-xun, Jia Min-cai, Li Cui-na

机构信息

Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.

出版信息

ScientificWorldJournal. 2013 May 14;2013:603130. doi: 10.1155/2013/603130. Print 2013.

Abstract

In this study, the failure behaviors of debris flows were studied by flume model tests with artificial rainfall and numerical simulations (PFC(3D)). Model tests revealed that grain sizes distribution had profound effects on failure mode, and the failure in slope of medium sand started with cracks at crest and took the form of retrogressive toe sliding failure. With the increase of fine particles in soil, the failure mode of the slopes changed to fluidized flow. The discrete element method PFC(3D) can overcome the hypothesis of the traditional continuous medium mechanic and consider the simple characteristics of particle. Thus, a numerical simulations model considering liquid-solid coupled method has been developed to simulate the debris flow. Comparing the experimental results, the numerical simulation result indicated that the failure mode of the failure of medium sand slope was retrogressive toe sliding, and the failure of fine sand slope was fluidized sliding. The simulation result is consistent with the model test and theoretical analysis, and grain sizes distribution caused different failure behavior of granular debris flows. This research should be a guide to explore the theory of debris flow and to improve the prevention and reduction of debris flow.

摘要

在本研究中,通过人工降雨水槽模型试验和数值模拟(颗粒流代码PFC(3D))对泥石流的破坏行为进行了研究。模型试验表明,粒径分布对破坏模式有深远影响,中砂边坡的破坏始于坡顶裂缝,并呈渐进式趾部滑动破坏形式。随着土壤中细颗粒的增加,边坡的破坏模式转变为流态化流动。离散元方法PFC(3D)能够克服传统连续介质力学的假设,并考虑颗粒的简单特性。因此,开发了一种考虑液固耦合方法的数值模拟模型来模拟泥石流。对比试验结果,数值模拟结果表明,中砂边坡的破坏模式为渐进式趾部滑动,细砂边坡的破坏模式为流态化滑动。模拟结果与模型试验和理论分析一致,粒径分布导致了颗粒泥石流不同的破坏行为。本研究可为探索泥石流理论及完善泥石流防治提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0298/3666269/5eea8adcf242/TSWJ2013-603130.001.jpg

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