Model testing of the spatial–temporal evolution of a landslide failure

This paper outlines the spatial–temporal evolution of a landslide. A multiple monitoring system that consists of a three-dimensional (3D) laser scanner, a particle image velocimeter (PIV), earth pressure cells (PCs), and a thermal infrared (TIR) imager were designed and employed for a 1 g landslide model case study. The displacement, velocity, lateral earth pressure and surface temperature were recorded during the evolution of a landslide. Four stages of evolution were identified using the measured displacements: the initial stage, the uniform stage, the accelerated stage and the failure stage. The deformation, lateral earth pressure and surface temperature of a landslide were monitored during each stage. The distribution of the lateral force with depth varied significantly during movement, and the depth of the maximum soil pressure increased with movement. The surface temperature of the moving mass was significantly higher than the surface temperature of the nonmoving mass. The average change in surface temperature showed a significant increase in surface temperature followed by a decrease in surface temperature prior to failure. This study provides procedures and solutions for landslide monitoring, interpreting landslide initiation and detecting landslides.

[1]  E. Stamhuis,et al.  PIVlab - Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB , 2015 .

[2]  C. J. Westen,et al.  Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models , 2003 .

[3]  Deodato Tapete,et al.  Terrestrial laser scanning for rockfall stability analysis in the cultural heritage site of Pitigliano (Italy) , 2013, Landslides.

[4]  Michel JaboyedoffThierry.  Use of LIDAR in landslide investigations: a review , 2012 .

[5]  Qiang Yang,et al.  Geomechanical model test for stability analysis of high arch dam based on small blocks masonry technique , 2013 .

[6]  S. M. Junaideen,et al.  LANDSLIDE MODEL TEST SYSTEM AND ITS APPLICATION ON THE STUDY OF SHILIUSHUBAO LANDSLIDE IN THREE GORGES RESERVOIR AREA , 2010 .

[7]  David Alexander,et al.  Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors , 2016, Landslides.

[8]  Cees J. van Westen,et al.  Comparing two methods to estimate lateral force acting on stabilizing piles for a landslide in the Three Gorges Reservoir, China , 2014 .

[9]  Valentin Gischig,et al.  Thermomechanical forcing of deep rock slope deformation: 2. The Randa rock slope instability , 2011 .

[10]  A. Hettler,et al.  SIMILITUDE FOR SHAKING TABLE TESTS ON SOIL-STRUCTURE-FLUID MODEL IN 1g GRAVITATIONAL FIELD , 1990 .

[11]  B. Shi,et al.  Distributed acquisition, characterization and process analysis of multi-field information in slopes , 2014 .

[12]  P. W. Bridgman.  Dimensional Analysis Again , 1964 .

[13]  Filippo Catani,et al.  Monitoring, prediction, and early warning using ground-based radar interferometry , 2010 .

[14]  Kyoji Sassa,et al.  A fluidized landslide on a natural slope by artificial rainfall , 2004 .

[15]  Meei-Ling Lin,et al.  Seismic slope behavior in a large-scale shaking table model test , 2006 .

[16]  Linhui Song,et al.  Model for predicting displacement-dependent lateral earth pressure , 2009 .

[17]  Zhenhua Zhang,et al.  Study on the Possible Failure Mode and Mechanism of the Xietan Landslide When Exposed to Water Level Fluctuation , 2009 .

[18]  L. Pagano,et al.  Rainfall patterns triggering shallow flowslides in pyroclastic soils , 2014 .

[19]  Chin Jian Leo,et al.  Analysis of Baishuihe landslide influenced by the effects of reservoir water and rainfall , 2010 .

[20]  M. G. Angeli,et al.  A critical review of landslide monitoring experiences , 2000 .

[21]  Robert E. Criss,et al.  Evolution characteristics of the Huangtupo landslide based on in situ tunneling and monitoring , 2015, Landslides.

[22]  N. Casagli,et al.  Landslide monitoring by using ground-based SAR interferometry: an example of application to the Tessina landslide in Italy , 2003 .

[23]  Valentin Gischig,et al.  Thermomechanical forcing of deep rock slope deformation: 1. Conceptual study of a simplified slope , 2011 .

[24]  C. Gokceoğlu,et al.  A statistical assessment on international landslide literature (1945–2008) , 2009 .

[25]  C. Squarzonia,et al.  Nine years of spatial and temporal evolution of the La Valette landslide observed by SAR interferometry , 2003 .

[26]  D. De Bruyn,et al.  The influence of temperature on mechanical characteristics of Boom clay: The results of an initial laboratory programme , 1996 .

[27]  胡斌,et al.  Landslide Prediction Based on Wavelet Analysis and Cusp Catastrophe , 2009 .

[28]  Neil Dixon,et al.  Time for change: quantifying landslide evolution using historical aerial photographs and modern photogrammetric methods , 2004 .

[29]  A. Abellán,et al.  Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring , 2010 .

[30]  Guoquan Wang,et al.  Delineating and defining the boundaries of an active landslide in the rainforest of Puerto Rico using a combination of airborne and terrestrial LIDAR data , 2013, Landslides.

[31]  J. Travelletti,et al.  Monitoring Landslide Displacements during a Controlled Rain Experiment Using a Long-range Terrestrial Laser Scanning ( Tls ) , 2008 .

[32]  Junwei Ma,et al.  Identification of causal factors for the Majiagou landslide using modern data mining methods , 2017, Landslides.

[33]  Kyoji Sassa,et al.  Failure processes in a full-scale landslide experiment using a rainfall simulator , 2004 .

[34]  Yoshiyuki Kawata,et al.  Inference of landslide areas using spatial features and surface temperature of watersheds , 1993, Defense, Security, and Sensing.

[35]  Xinli Hu,et al.  A novel approach for determining landslide pushing force based on landslide-pile interactions , 2014 .

[36]  R. Iverson.  Scaling and design of landslide and debris-flow experiments , 2015 .

[37]  Stephan Peth,et al.  Large scale soil box test to investigate soil deformation and creep movement on slopes by Particle Image Velocimetry (PIV) , 2012 .

[38]  Yuhua Wu,et al.  Precursors for rock fracturing and failure¿Part II: IRR T-Curve abnormalities , 2006 .

[39]  Tony L. T. Zhan,et al.  Performance of a large-scale slope model subjected to rising and lowering water levels , 2009 .

[40]  Lixin Wu,et al.  Remote sensing rock mechanics (RSRM) and associated experimental studies , 2000 .

[41]  C. Werner,et al.  Survey and monitoring of landslide displacements by means of L-band satellite SAR interferometry , 2005 .

[42]  A. Abellán,et al.  Application of a long-range Terrestrial Laser Scanner to a detailed rockfall study at Vall de Núria (Eastern Pyrenees, Spain) , 2006 .

[43]  S. Cheng,et al.  Research on theory and application of landslide model test , 2010 .

[44]  A. Lloret,et al.  Measurement of landslide displacements using a wire extensometer , 2000 .

[45]  Qiang Xu,et al.  The genetic mechanism of a translational landslide , 2009 .

[46]  Meei-Ling Lin,et al.  Initiation and displacement of landslide induced by earthquake — a study of shaking table model slope test , 2011 .

[47]  Yuhua Wu,et al.  Changes in infrared radiation with rock deformation , 2002 .

[48]  Bo Feng,et al.  Experimental Study on Rainfall-Induced Three-Dimensional Deformation Characteristics of a Slope , 2014 .

[49]  Kohji Tokimatsu,et al.  Evaluation of Earth Pressure Under Any Lateral Deformation , 1998 .

[50]  Christophe Delacourt,et al.  Seventeen years of the “La Clapière” landslide evolution analysed from ortho-rectified aerial photographs , 2003 .

[51]  Alessandro Corsini,et al.  Field monitoring of the Corvara landslide (Dolomites, Italy) and its relevance for hazard assessment , 2005 .