Safety Degree Analysis of Arch Dam-Abutment Stability Based on Deformation Observation

The stability of the dam-abutment is reflected synthetically by its deformation observation, so it can be evaluated qualitatively with the deformation trend and speed. At the same time, because the evaluation is unquantifiable, the dam-abutment safety is hard to quantitatively estimate and comparer. For that, a quantitative analysis of the dam-abutment safety based on the deformation observation is presented in this paper. At different load conditions extracted from observation analysis, the elastoplastic finite element method based on the shear strength reduction (SSR) technique is applied to analyze the stability of the dam-abutment. Then the deformation fields and the safety factors are obtained by c- reduction algorithm in critical stability of the dam-abutment. Based on the sample about the critical deformation and the safety factor, a BP artificial neural network model is established. In the end, the safety quantitative degree of the dam-abutment stability is obtained by BP artificial neural network trained. Through a series of case studies, the applicability of the proposed method is clearly exhibited.