Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

The stability of natural rock slopes is influenced by a wide spectrum of factors, such as mechanical properties of bedrocks and spatial distribution of discontinuities. Their specific values are typically incomplete, due mainly to the lack of effective and comprehensive methods to accurately characterize these factors, especially those inside of the slopes. The neutrosophic number is a useful tool to solve problems in indeterminate environment. This study introduces the neutrosophic theory into slope stability assessment. A vector similarity measure developed under neutrosophic environment was employed to establish a stability assessment method considering multilevel attributes of slopes. Using this method, the level of stability for studied slopes, i.e., stable, mostly stable, less stable, and instable, was determined by computing the relation indices. The method was applied to a group of rock slopes located in Zhejiang province, China, and the calculated results were compared with the reality of in situ survey. The field application showed that the developed method has a good efficiency and precision in assessing the stability of rock slopes. The obtained weight vector can reveal the key influential parameters that inherently control the stability of rock slopes.

[1]  Gregory B. Baecher,et al.  The effect of discontinuity persistence on rock slope stability , 1983 .

[2]  Yu Zhao,et al.  Rainfall threshold for initiation of channelized debris flows in a small catchment based on in-site measurement , 2017 .

[3]  Ying Wang,et al.  Parametric Monte Carlo studies of rock slopes based on the Hoek–Brown failure criterion , 2012 .

[4]  Xing Gao,et al.  A simplified physically based coupled rainfall threshold model for triggering landslides , 2015 .

[5]  W. X Li,et al.  Fuzzy system method for the design of a jointed rock slope , 2004 .

[6]  Lingwei Kong,et al.  Misfire Fault Diagnosis Method of Gasoline Engines Using the Cosine Similarity Measure of Neutrosophic Numbers , 2015 .

[7]  Hyuck-Jin Park,et al.  Assessment of rock slope stability using GIS-based probabilistic kinematic analysis , 2016 .

[8]  Changqing Qi,et al.  Assessment of complex rock slope stability at Xiari, southwestern China , 2016, Bulletin of Engineering Geology and the Environment.

[9]  N. R. Morgenstern,et al.  Extensions to the generalized method of slices for stability analysis , 1983 .

[10]  Nicola Sciarra,et al.  Geomorphological features of the Montebello sul Sangro large landslide (Abruzzo, Central Italy) , 2016 .

[11]  Jun Ye,et al.  Bidirectional projection method for multiple attribute group decision making with neutrosophic numbers , 2015, Neural Computing and Applications.

[12]  Changjiang Li,et al.  An effective antecedent precipitation model derived from the power-law relationship between landslide occurrence and rainfall level , 2014 .

[13]  Jun Ye,et al.  Multicriteria Group Decision-Making Method Using Vector Similarity Measures For Trapezoidal Intuitionistic Fuzzy Numbers , 2010, Group Decision and Negotiation.

[14]  Florentin Smarandache,et al.  Introduction to Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability , 2013, ArXiv.

[15]  Xie Jian-ming Warning System for Rain-Induced Landslides Based on Internet in Zhejiang Province, China , 2005 .

[16]  P. Budetta,et al.  Assessment of rockfall risk along roads , 2004 .

[17]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .

[18]  Francesco Perri,et al.  Flash flood event (October 2010) in the Zinzolo catchment (Calabria, southern Italy) , 2015 .

[19]  He Manchao,et al.  Application of Remote Monitoring Technology in Landslides in the Luoshan Mining Area , 2009 .

[20]  A. Bishop The use of the Slip Circle in the Stability Analysis of Slopes , 1955 .

[21]  Lyesse Laloui,et al.  Modelling the behaviour of a large landslide with respect to hydrogeological and geomechanical parameter heterogeneity , 2005 .

[22]  Florentin Smarandache Preface: an introduction to neutrosophy, neutrosophic logic, neutrosophic net, and neutrosophic probability and statistics , 2002 .

[23]  Victor I. Chang,et al.  Neutrosophic Association Rule Mining Algorithm for Big Data Analysis , 2018, Symmetry.

[24]  Hyuck-Jin Park,et al.  Application of fuzzy set theory to evaluate the probability of failure in rock slopes , 2012 .

[25]  Xuanmei Fan,et al.  The landslide story , 2013 .

[26]  Guo Rui-qing STABILITY EVALUATION METHOD OF ROCK MASS SLOPE BASED ON ADAPTIVE NEURAL-NET WORK BASED FUZZY INTERFERENCE SYSTEM , 2006 .

[27]  Ke Wang,et al.  Slope Stability Evaluation Based on PSO-PP , 2014 .

[28]  Resat Ulusay,et al.  The ISRM suggested methods for rock characterization, testing and monitoring, 2007-2014 , 2015 .

[29]  John M Kemeny,et al.  The Time-Dependent Reduction of Sliding Cohesion due to Rock Bridges Along Discontinuities: A Fracture Mechanics Approach , 2003 .

[30]  R. Roy,et al.  A Multi-Objective Production Planning Problem Based on NeutrosophicLinear Programming Approach , 2015 .

[31]  Lian-heng Zhao,et al.  System reliability analysis of plane slide rock slope using Barton-Bandis failure criterion , 2016 .

[32]  C. F. Lee,et al.  Engineering and geological characteristics of granite weathering profiles in South China , 2003 .

[33]  Changjiang Li,et al.  Rainfall intensity–duration thresholds for the initiation of landslides in Zhejiang Province, China , 2015 .

[34]  Rajinder Bhasin,et al.  Probabilistic Stability Evaluation of Oppstadhornet Rock Slope, Norway , 2009 .

[35]  P. Lu,et al.  Artificial Neural Networks and Grey Systems for the Prediction of Slope Stability , 2003 .

[36]  Huiming Tang,et al.  Evaluation of rock slope stability for Yujian River dam site by kinematic and block theory analyses , 2011 .

[37]  Michael J. Olsen,et al.  A simplified three-dimensional shallow landslide susceptibility framework considering topography and seismicity , 2017, Landslides.

[38]  Seung-Rae Lee,et al.  A shallow slide prediction model combining rainfall threshold warnings and shallow slide susceptibility in Busan, Korea , 2018, Landslides.

[39]  Jun Ye Multicriteria decision-making method using the Dice similarity measure based on the reduct intuitionistic fuzzy sets of interval-valued intuitionistic fuzzy sets , 2012 .

[40]  António Gomes Correia,et al.  A new empirical system for rock slope stability analysis in exploitation stage , 2015 .

[41]  Celal Karpuz,et al.  A probabilistic model for the assessment of uncertainties in the shear strength of rock discontinuities , 2002 .

[42]  F. Ietto,et al.  Weathering characterization for landslides modeling in granitoid rock masses of the Capo Vaticano promontory (Calabria, Italy) , 2017, Landslides.

[43]  Z. Bieniawski Engineering rock mass classifications , 1989 .

[44]  Doug Stead,et al.  Engineering geomorphological interpretation of the Mitchell Creek Landslide, British Columbia, Canada , 2017, Landslides.

[45]  Timon Rabczuk,et al.  A software framework for probabilistic sensitivity analysis for computationally expensive models , 2016, Adv. Eng. Softw..

[46]  Matteo Matteucci,et al.  Evaluation of prediction capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantánamo, Cuba , 2011, Comput. Geosci..

[47]  Jun Ye,et al.  Cosine similarity measures for intuitionistic fuzzy sets and their applications , 2011, Math. Comput. Model..

[48]  Dwayne D. Tannant,et al.  Probabilistic assessment of rock slope stability using response surfaces determined from finite element models of geometric realizations , 2015 .

[49]  Jean-Louis Briaud,et al.  STATIC CAPACITY PREDICTION BY DYNAMIC METHODS FOR THREE BORED PILES , 2000 .

[50]  Jun Ye,et al.  Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers , 2017, Symmetry.

[51]  Nicola Sciarra,et al.  Variability of local stress states resulting from the application of Monte Carlo and finite difference methods to the stability study of a selected slope , 2018, Engineering Geology.

[52]  Jing Fu,et al.  Simplified Neutrosophic Exponential Similarity Measures for the Initial Evaluation/Diagnosis of Benign Prostatic Hyperplasia Symptoms , 2017, Symmetry.

[53]  A. C. Seijmonsbergen,et al.  Combining field and modelling techniques to assess rockfall dynamics on a protection forest hillslope in the European Alps , 2004 .

[54]  Guowei Ma,et al.  Footwall slope stability analysis with the numerical manifold method , 2011 .

[55]  D. Stead,et al.  A critical review of rock slope failure mechanisms: The importance of structural geology , 2015 .

[56]  John Coggan,et al.  Developments in the characterization of complex rock slope deformation and failure using numerical modelling techniques , 2006 .

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

[58]  Xia Yin,et al.  Fuzzy mathematics model and its numerical method of stability analysis on rock slope of opencast metal mine , 2015 .

[59]  Wei Wei,et al.  Stability assessment of a high rock slope by strength reduction finite element method , 2015, Bulletin of Engineering Geology and the Environment.