| Evaluation of Soil Moisture and Shear Deformation Based on Compression Wave Velocities in a Shallow Slope Surface Layer | |
Tao Shangning1; Uchimura Taro2; Fukuhara Makoto1; Tang Junfeng1; Chen Yulong3; Huang Dong4
| |
| 2019 | |
| Source Publication | SENSORS
 |
| EISSN | 1424-8220 |
| Volume | 19Issue:15Pages:3406 |
| Subtype | Article |
| Contribution Rank | 4 |
| Abstract | Rainfall-induced landslides occur commonly in mountainous areas around the world and cause severe human and infrastructural damage. An early warning system can help people safely escape from a dangerous area and is an economical and effective method to prevent and mitigate rainfall-induced landslides. This paper proposes a method to evaluate soil moisture and shear deformation by compression wave velocities in a shallow slope surface layer. Anew type of exciter and new receivers have been developed using a combination of micro electro-mechanical systems (MEMS) accelerometers and the Akaike's information criterion (AIC) algorithm, which can automatically calculate the elastic wave travel time with accuracy and reliability. Laboratory experiments using a multi-layer shear model were conducted to reproduce the slope failure. The relationships between wave velocities and soil moisture were found to be dependent on the saturation path (rain or drain); in other words, hysteresis was observed. The wave velocity ratio reduced by 0.1-0.2 when the volumetric water content (VWC) increased from 0.1 to 0.27 m(3)/m(3). When loading the shear stress corresponding to slope angles of 24, 27, 29, or 31 degrees, a drop of 0.2-0.3 in wave velocity ratio was observed at the middle layer, and near 0.5 at the bottom layer. After setting the shear stress to correspond to a slope angle of 33 degrees, the displacement started increasing and finally, slope failure occurred. With increasing displacement, the wave velocities also decreased rapidly. The wave velocity ratio dropped by 0.2 after a displacement of 3 mm. Monitoring long-term elastic wave velocities in a slope surface layer allows one to observe the behavior of the slope, understand its stability, and then apply an early warning system to predict slope failure. |
| Keyword | slope failure early warning wave propagation compression wave velocity shear deformation artificial rainfall multi-layer shear model |
| DOI | 10.3390/s19153406 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:000483198900161 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imde.ac.cn/handle/131551/26970 |
| Collection | 山地灾害与地表过程重点实验室 |
| Corresponding Author | Tao Shangning |
| Affiliation | 1.Department of Civil and Environmental Engineering, Saitama University, Saitama 338-8570, Japan; 2.Faculty of Engineering, Saitama University, Saitama 338-8570, Japan; 3.State Key Laboratory of Hydro science and Engineering, Tsinghua University, Beijing 100084, China; 4.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China |
| Recommended Citation GB/T 7714 | Tao Shangning,Uchimura Taro,Fukuhara Makoto,et al. Evaluation of Soil Moisture and Shear Deformation Based on Compression Wave Velocities in a Shallow Slope Surface Layer[J]. SENSORS,2019,19(15):3406. |
| APA | Tao Shangning,Uchimura Taro,Fukuhara Makoto,Tang Junfeng,Chen Yulong,&Huang Dong.(2019).Evaluation of Soil Moisture and Shear Deformation Based on Compression Wave Velocities in a Shallow Slope Surface Layer.SENSORS,19(15),3406. |
| MLA | Tao Shangning,et al."Evaluation of Soil Moisture and Shear Deformation Based on Compression Wave Velocities in a Shallow Slope Surface Layer".SENSORS 19.15(2019):3406. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| sensors-19-03406.pdf（9157KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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