水库区抗滑桩加固边坡的变形与稳定性智能分析

Intelligent Deformation and Stability Analysis of Anti-Slide Pile-Reinforced Slopes in Reservoir Areas

摘要: 水库区边坡在周期性水位波动与降雨作用下变形与破坏特性复杂，且常采用抗滑桩作为主要加固手段。本文选取某典型水库区边坡，建立了一套变形与稳定性智能分析方法。基于等效桩土条模型与等效水位线概念，实现抗滑桩加固效应与水位滞后影响的合理表征。发展基于监测数据的智能优化反演算法，实现宏细观本构模型参数的高效标定。分析结果表明边坡整体稳定性良好；抗滑桩在减小位移和提高安全系数方面的效果显著；边坡位移以水平向为主呈近线性增长。分析预测结果与全球导航卫星系统(GNSS)监测数据吻合较好，分析速度快，从而为水库区抗滑桩加固边坡的变形与稳定性评价提供了有效手段。

Abstract: The deformation and failure characteristics of reservoir bank slopes under cyclic water level fluctuations and rainfall are complex, and anti-slide piles are commonly employed as the primary reinforcement measure. In this paper, a typical reservoir bank slope is selected, and a set of intelligent analysis methods for deformation and stability is established. Based on the equivalent pile-soil strip model and the concept of equivalent water level line, the reinforcement effect of anti-slide piles and the influence of water level lag are reasonably characterized. An intelligent optimization inversion algorithm based on monitoring data is developed to achieve efficient calibration of macro-meso constitutive model parameters. The analysis results indicate that the overall stability of the slope is satisfactory; the anti-slide piles effectively reduce deformation and increase stability level of the slope; the slope displacement exhibits a predominantly horizontal and nearly linear growth trend. The predicted results are in good agreement with Global Navigation Satellite System (GNSS) monitoring data, and the analysis is computationally efficient, thus providing an effective means for evaluating the deformation and stability of slopes reinforced with anti-slide piles in reservoir areas.