IMHE OpenIR  > 山地灾害与地表过程重点实验室
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
Corresponding AuthorTao, Shangning(taosn@hotmail.com)
2019-08-01
Source PublicationSENSORS
EISSN1424-8220
Volume19Issue:15Pages:15
SubtypeArticle
AbstractRainfall-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.
Keywordslope failure early warning wave propagation compression wave velocity shear deformation artificial rainfall multi-layer shear model
DOI10.3390/s19153406
Indexed BySCI
WOS KeywordINFILTRATION ; LANDSLIDES ; PRECAUTION
Language英语
Quartile3区
Funding Project[18J15176]
TOP
WOS Research AreaChemistry ; Engineering ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000483198900161
PublisherMDPI
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26970
Collection山地灾害与地表过程重点实验室
Corresponding AuthorTao, Shangning
Affiliation1.Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan
2.Saitama Univ, Fac Engn, Saitama 3388570, Japan
3.Tsinghua Univ, State Key Lab Hydro Sci & Engn, Beijing 100084, Peoples R China
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R 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):15.
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),15.
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):15.
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-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tao, Shangning]'s Articles
[Uchimura, Taro]'s Articles
[Fukuhara, Makoto]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tao, Shangning]'s Articles
[Uchimura, Taro]'s Articles
[Fukuhara, Makoto]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tao, Shangning]'s Articles
[Uchimura, Taro]'s Articles
[Fukuhara, Makoto]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: sensors-19-03406.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.