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Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-BasedModels

Computer Modeling in Engineering & Sciences 2023年第10期137卷 455-487页

作者： Feezan Ahmad Xiaowei Tang Jilei Hu Mahmood Ahmad behrouz gordan State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian116024China Key Laboratory of Geological Hazards on Three Gorges Reservoir Area Ministry of EducationChina Three Gorges UniversityYichang443002China Department of Civil Engineering Faculty of EngineeringInternational Islamic University MalaysiaJalan GombakSelangor50728Malaysia Department of Civil Engineering University of Engineering and Technology Peshawar(Bannu Campus)Bannu28100Pakistan Faculty of Civil Engineering Islamic Azad UniversityVaramin Pishva BranchTehran15914Iran

Slope stability prediction plays a significant role in landslide disaster prevention and *** paper’s reduced error pruning(REP)tree and random tree(RT)models are developed for slope stability evaluation and meeting the high precision and rapidity requirements in slope *** data set of this study includes five parameters,namely slope height,slope angle,cohesion,internal friction angle,and peak ground *** available data is split into two categories:training(75%)and test(25%)*** output of the RT and REP tree models is evaluated using performance measures including accuracy(Acc),Matthews correlation coefficient(Mcc),precision(Prec),recall(Rec),and *** applications of the aforementionedmethods for predicting slope stability are compared to one another and recently established soft computing models in the *** analysis of the Acc together with Mcc,and F-score for the slope stability in the test set demonstrates that the RT achieved a better prediction performance with(Acc=97.1429%,Mcc=0.935,F-score for stable class=0.979 and for unstable case F-score=0.935)succeeded by the REP tree model with(Acc=95.4286%,Mcc=0.896,F-score stable class=0.967 and for unstable class F-score=0.923)for the slope stability dataset The analysis of performance measures for the slope stability dataset reveals that the RT model attains comparatively better and reliable results and thus should be encouraged in further research.

关键词： Slope stability seismic excitation static condition random tree reduced error pruning tree

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