An Artificial Neural Network Method for Forecasting the Stability of Soil Slopes
DOI:
https://doi.org/10.53560/PPASA(61-1)834Keywords:
Soil Slope, Cohesion (c), Genetic Algorithm (GA), Internal Friction Angle (ϕ), Slop Angle (θ)Abstract
Artificial neural network (ANN) methods, based on sophisticated models, have been developed recently that can predict slope stability. In this study, we have developed a genetic algorithm (GA) based on ANN to assess the stability of soil slope. Firstly, an ANN-based genetic algorithm was trained for nonlinear input-output mapping of the slope. A total of 190 soil slopes with unique values of shear strength properties (friction angle, cohesion, and unit weight), geometric parameters (slope angle and slope height), and corresponding factor of safety (FS) have been collected to give a neural network training dataset. Then, a three-layer neural network model is established based on GA. The prediction and performance ability of the established model is assessed using the correlation coefficient (R2). By the outcomes, the trained ANN model with the R2 value of 0.98 is reliable, valid, and simple for evaluating the soil slope stability and estimating the FS. Additionally, the proposed neural network model is applied to a case of soil slope from prior studies. Findings show that the developed ANN model can be versatile in studying the stability of soil slopes.
References
Y. Wang, J. Huang, and H. Tang. Automatic identification of the critical slip surface of slopes. Engineering Geology 273: 105672 (2020).
X. Zhou, X. Huang, and X. Zhao. Optimization of the critical slip surface of three-dimensional slope by using an improved genetic algorithm. International Journal of Geomechanics 20(8): 04020120 (2020).
Z. Ahmed, S. Wang, O.H. Jasim, Y. Xu, and P. Wang. Variability effect of strength and geometric parameters on the stability factor of failure surfaces of rock slope by numerical analysis. Arabian Journal of Geosciences 13: 1112 (2020).
Z. Ahmed, S. Wang, and D. Furui. Estimation of Repeated Slip Surface in Cut Slope Stability Analysis. In: Experimental Vibration Analysis for Civil Structures, J. Zhang, Z. Wu, M. Noori, and Y. Li (Eds.). CRC Press, Boca Raton, pp. 561-569 (2020).
A. Bishop, and N. Morgenstern. Stability coefficients for earth slopes. Geotechnique 10(4): 129-153 (1960).
Z. Ahmed, S. Wang, M.Z. Hashmi, Z. Zishan, and Z. Chengjin. Causes, characterization, damage models, and constitutive modes for rock damage analysis: a review. Arabian Journal of Geosciences 13: 806 (2020).
S. Wang, Z. Ahmed, M. Z. Hashmi, and W. Pengyu. Cliff face rock slope stability analysis based on unmanned arial vehicle (UAV) photogrammetry. Geomechanics and Geophysics for Geo-Energy and Geo-Resources 5: 333-344 (2019).
A.W. Bishop. The use of the slip circle in the stability analysis of slopes. Geotechnique 5(1): 7-17 (1955).
Y. Zhao, ZY. Tong, and Q. Lü. Slope stability analysis using slice-wise factor of safety. Mathematical Problems in Engineering 2014 (2014).
X. Qi, and D. Li. Effect of spatial variability of shear strength parameters on critical slip surfaces of slopes. Engineering Geology 239: 41-49 (2018).
R. Regmi, and K. Jung. Application of dynamic programming to locate the critical failure surface in a rainfall induced slope failure problem. KSCE Journal of Civil Engineering 20(1): 452-462 (2016).
H. Pham, and D. Fredlund. The application of dynamic programming to slope stability analysis. Canadian Geotechnical Journal 40(4): 830-847 (2003).
A. Malkawi, W. Hassan, and S. Sarma. Global search method for locating general slip surface using Monte Carlo techniques. Journal of Geotechnical and Geoenvironmental Engineering 127(8): 688-698 (2001).
H. Zheng, D. Liu, and C. Li. Slope stability analysis based on elasto‐plastic finite element method. International Journal for Numerical Methods in Engineering 64(14): 1871-1888 (2005).
Y. Cheng, T. Lansivaara, and W. Wei. Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods. Computers and Geotechnics 34(3): 137-150 (2007).
R. Baker. Determination of the critical slip surface in slope stability computations. International Journal for Numerical and Analytical Methods in Geomechanics 4(4): 333-359 (1980).
J. Jiang and T. Yamagami. Three-dimensional slope stability analysis using an extended Spencer method. Soils and Foundations 44(4): 127-135 (2004).
G. Sun, S. Cheng, W. Jiang, and H. Zheng. A global procedure for stability analysis of slopes based on the Morgenstern-Price assumption and its applications. Computers and Geotechnics 80: 97-106 (2016).
E. Boutrup, and C. Lovell. Searching techniques in slope stability analysis. Engineering Geology 16(1-2): 51-61 (1980).
M. Azarafza, E. Asghari-Kaljahi, and H. Akgün. Numerical modeling of discontinuous rock slopes utilizing the 3DDGM (three-dimensional discontinuity geometrical modeling) method. Bulletin of Engineering Geology and the Environment 76: 989-1007 (2017).
M. Azarafza, H. Akgün, A. Ghazifard, and E. Asghari-Kaljahi. Key-block based analytical stability method for discontinuous rock slope subjected to toppling failure. Computers and Geotechnics 124: 103620 (2020).
M. Azarafza, H. Akgün, M.R. Feizi-Derakhshi, M. Azarafza, J. Rahnamarad, and R. Derakhshani. Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method. Heliyon 6(5): e03907 (2020).
A. Zolfaghari, A. Heath, and P. McCombie. Simple genetic algorithm search for critical non-circular failure surface in slope stability analysis. Computers and Geotechnics 32(3): 139-152 (2005).
W. Gao. Determination of the noncircular critical slip surface in slope stability analysis by meeting ant colony optimization. Journal of Computing in Civil Engineering 30(2): 06015001 (2016).
M. Khajehzadeh, M. Taha, S. Keawsawasvong, H. Mirzaei, and M. Jebeli. An effective artificial intelligence approach for slope stability evaluation. IEEE Access 10: 5660-5671 (2022).
R. Y. Liang, J. Zhao, and S. Vitton. Determination of interslice force in slope stability analysis. Soils and Foundations 37(1): 65-72 (1997).
O. Hungr, F. M. Salgado, and P. Byrne. Evaluation of a three-dimensional method of slope stability analysis. Canadian Geotechnical Journal 26(4): 679-686 (1989).
H. Alateya, and A.A. Asr. Numerical investigation into the stability of earth dam slopes considering the effects of cavities. Engineering Computations 37(4): 1397-1421 (2020).
J. Ribas, J. Severo, L. Guimaraes, and K. Perpetuo. A fuzzy FMEA assessment of hydroelectric earth dam failure modes: A case study in Central Brazil. Energy Reports 7: 4412-4424 (2021).
H. Moayedi, A. Osouli, H. Nguyen, and A.S.A. Rashid. A novel Harris hawks’ optimization and k-fold cross-validation predicting slope stability. Engineering with Computers 37: 369-379 (2021).
B. Gordan, D. Jahed Armaghani, M. Hajihassani, and M. Monjezi. Prediction of seismic slope stability through combination of particle swarm optimization and neural network. Engineering with Computers, 32: 85-97 (2016).
A. Verma, T. Singh, N. Chauhan, and K. Sarkar. A hybrid FEM–ANN approach for slope instability prediction. Journal of The Institution of Engineers (India): Series A 97: 171-180 (2016).
A. Ray, V. Kumar, A. Kumar, R. Rai, M. Khandelwal, and T. Singh. Stability prediction of Himalayan residual soil slope using artificial neural network. Natural Hazards 103(3): 3523-3540 (2020).
Z. Qian, A. Li, W. Chen, A. Lyamin, and J. Jiang. An artificial neural network approach to inhomogeneous soil slope stability predictions based on limit analysis methods. Soils and Foundations 59(2): 556-569 (2019).
C. Deng, H. Hu, T. Zhang, and J. Chen. Rock slope stability analysis and charts based on hybrid online sequential extreme learning machine model. Earth Science Informatics 13: 729-746 (2020).
J. Egbueri. Prediction modeling of potentially toxic elements’ hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria. Environmental Science and Pollution Research 28(30): 40938-40956 (2021).
J. Meng, H. Mattsson, and J. Laue. Three‐dimensional slope stability predictions using artificial neural networks. International Journal for Numerical and Analytical Methods in Geomechanics 45(13): 1988-2000 (2021).
A. Li, S. Khoo, A. Lyamin, and Y. Wang. Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm. Automation in Construction 65: 42-50 (2016).
M. Nouri, P. Sihag, F. Salmasi, and J. Abraham. Prediction of homogeneous earthen slope safety factors using the forest and tree based modelling. Geotechnical and Geological Engineering 39: 2849-2862 (2021).
M. Sakellariou and M. Ferentinou. A study of slope stability prediction using neural networks. Geotechnical & Geological Engineering 23: 419-445 (2005).
