摘要
为了实时、准确地掌握边坡的稳定状态,建立了基于位移监测信息的土质边坡稳定性评判分析方法。该方法采用强度折减系数来描述边坡的稳定状态。基于神经网络算法,以有限元数值模拟数据为训练样本,建立了强度折减系数与边坡位移的非线性函数关系。利用此函数关系并根据边坡位移就可以计算出强度折减系数,进而便能评判边坡的稳定性。最后利用一组数值模拟数据,验证了本文方法的有效性和实用性。
In order to grasp real-timely the stability of the soil slope,an evaluation analysis method was proposed based on the information of slope displacement monitor.The strength reduction method was used to describe the stability of the slope.A functional relationship between the strength reduction factor and the slope displacement was established based on the neural network algorithm using the data from the finite element numerical simulation as the train sample.By means of the function the strength reduction factor can be calculated from the monitored slope displacement to evaluate the slope stability.The effectiveness and practicality of the proposed method was verified with a group of numerical simulation data.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2012年第6期1487-1490,共4页
Journal of Jilin University:Engineering and Technology Edition
基金
'863'国家高技术研究发展计划项目(2009AA11Z104)
高等学校博士学科点专项科研基金项目(20100061120066)
吉林大学科学前沿与交叉学科创新项目(201003040)
关键词
道路工程
边坡稳定性
神经网络
强度折减
边坡位移
road engineering
slope stability
neural network algorithm
strength reduction method
slope displacement
