TY - GEN
T1 - Stability Evaluation of Slopes Containing a Weak Layer Using Artificial Neural Networks
AU - Chai, Shupeng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Man-made slopes including landfills and waste dumps may be situated above a weak layer, the stability of which needs to be evaluated carefully. In this paper, a novel method based on the artificial neural network is proposed to predict the factor of safety for slopes containing a weak layer. A dataset consisting of 50 samples obtained from numerical simulations is used for training and testing. Inputs are selected to be factors influencing the slope stability including not only slope geometry and soil properties but also the properties and thickness of the weak layer. High performance of the trained artificial neural network model is observed from the high correlation coefficient between the predicted and input factor of safety. The trained model is then applied to predict the factor of safety of 144 slopes and compared with some new numerical results, further demonstrating its applicability and reliability.
AB - Man-made slopes including landfills and waste dumps may be situated above a weak layer, the stability of which needs to be evaluated carefully. In this paper, a novel method based on the artificial neural network is proposed to predict the factor of safety for slopes containing a weak layer. A dataset consisting of 50 samples obtained from numerical simulations is used for training and testing. Inputs are selected to be factors influencing the slope stability including not only slope geometry and soil properties but also the properties and thickness of the weak layer. High performance of the trained artificial neural network model is observed from the high correlation coefficient between the predicted and input factor of safety. The trained model is then applied to predict the factor of safety of 144 slopes and compared with some new numerical results, further demonstrating its applicability and reliability.
KW - artificial neural network
KW - numerical simulations
KW - slope stability
KW - weak layer
UR - http://www.scopus.com/inward/record.url?scp=85149143181&partnerID=8YFLogxK
U2 - 10.1109/ICHCE57331.2022.10042656
DO - 10.1109/ICHCE57331.2022.10042656
M3 - Conference article published in proceeding or book
AN - SCOPUS:85149143181
T3 - 2022 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum, ICHCE 2022
SP - 150
EP - 153
BT - 2022 8th International Conference on Hydraulic and Civil Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum, ICHCE 2022
Y2 - 25 November 2022 through 27 November 2022
ER -