Elastic wave velocity monitoring as an emerging technique for rainfall-induced landslide prediction |
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| Authors: | Yulong Chen Muhammad Irfan Taro Uchimura Guanwen Cheng Wen Nie |
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| Institution: | 1.State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing,China;2.Quanzhou Institute of Equipment Manufacturing, Haixi Institutes,Chinese Academy of Sciences,Quanzhou,China;3.Department of Civil Engineering,The University of Tokyo,Tokyo,Japan;4.Department of Civil Engineering,University of Engineering & Technology Lahore,Lahore,Pakistan;5.School of Resources and Civil Engineering,Northeastern University,Shenyang,China |
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| Abstract: | Landslides are recurring phenomena causing damages to private property, public facilities, and human lives. The need for an affordable instrumentation that can be used to provide an early warning of slope instability to enable the evacuation of vulnerable people, and timely repair and maintenance of critical infrastructure is self-evident. A new emerging technique that correlates soil moisture changes and deformations in slope surface by means of elastic wave propagation in soil was developed. This approach quantifies elastic wave propagation as wave velocity. To verify its applicability, a series of fixed and varied slope model tests, as well as a large scale model test, were conducted. Analysis of the results has established that the elastic wave velocity continuously decreases in response of moisture content and deformation, and there was a distinct surge in the decrease rate of wave velocity with failure initiation, soil deformation was thus envisaged to have more significant effect on elastic wave velocity than water content. It is proposed that a warning be issued at switch of wave velocity decrease rate. Based on these observations, expected operation of the elastic wave velocity monitoring system for landslide prediction in the field application is presented. Consequently, we conclude that the elastic wave velocity monitoring technique has the potential to contribute to landslide prediction. |
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