中文摘要：

以边坡的稳定性作为评价指标，采用有限元强度折减法和BP神经网络研究顺溪场滑坡在格构锚固结构治理后的效果．根据监测数据，采用有限元强度折减法研究随时间推移边坡稳定性的变化趋势，并采用BP神经网络预测边坡的长期稳定性，来评价边坡治理的效果．结果表明在设计锚固力下，格构锚固结构治理边坡的稳定性系数与极限平衡法计算结果相符；在使用阶段，随时间推移锚索预应力不断损失，边坡的稳定性也随之下降，最初几个月稳定性下降较快，之后变化逐渐趋于平缓，但在较长的一段时间里边坡稳定性仍会缓慢降低．

英文摘要：

This paper studied the effect of Shunxichang slope controlling engineering on the basis of the stability coefficient by strength reduction FEM and BP neural network. According to the monitoring data, anchoring force reduced gradually as time went on. The strength reduction FEM was adopted to analyze the stability trend of the slope controlled by lattice anchor structure. When the system reaches instability, the numerical non-convergence occurs simultaneously. The stability coefficient is then obtained by shear strength reduction algorithm. BP neural network is adopted to predict the long-term stability of the slope. The results indicate that the stability coef- ficient of the slope analyzed by the strength reduction FEM is consistent with the results by the limit equilibrium method. With prestress loss, the slope stability declines rapidly in the first few months after slope controlled, and later it declines slowly in a long period of time.