摘要
在综合分析边坡岩体变形失稳破坏模式及其影响因素的基础上 ,提出了表征边坡岩体稳定性分析的复合指标。以大量水电边坡工程的稳定状况为学习训练样本及预测样本 ,讨论了基于人工神经网络技术的边坡岩体稳定性分析方法及其有效性。研究表明 ,用人工神经网络方法预测边坡岩体的稳定状况是可行的。
The mechanism of instability of rock slopes and the main factors affecting the stability of rock slopes are comprehensively analyzed.The compound indices are proposed for evaluating the stability of rock slope.Based on a large amount of rock slope engineering cases related to hydroelectric power projects,practical effectiveness of the theory of the artificial neural network to predict the safety of rock slopes are discussed.
出处
《岩土工程学报》
EI
CAS
CSCD
北大核心
2001年第2期157-161,共5页
Chinese Journal of Geotechnical Engineering
关键词
边坡
岩体
稳定性
人工神经网络
复合指标
analysis of rock slope stability
failure mode of rock slope
method of artificial neural network
composite index to estimate stability of rock slope
