基于神经网络法预测重庆高速公路边坡稳定性  

Forecast of Expressway Slope Stability in Chongqing Area Based on the Neural Network

作　　者：姜德义 李光扬[1] 谢世平[1] 蒋再文 

机构地区：[1]重庆大学西南资源开发及环境灾害控制工程教育部重点实验室,重庆400044 [2]重庆高速公路发展有限公司东南分公司,重庆400060

出　　处：《地下空间与工程学报》2008年第1期152-156,共5页Chinese Journal of Underground Space and Engineering

摘　　要：结合重庆地区的地质条件和高速公路的建设实践,分析了影响重庆地区高速公路土质和岩质边坡稳定性的主要因素。运用人工神经网络方法,以重庆地区大量高速公路边坡实例为样本对其进行学习和预测。研究表明,运用人工神经网络技术建立的各类边坡稳定性预测模型具有很好的适应性和较高的精度,用此方法来预测重庆地区高速公路边坡的稳定性是可行的。Considering the geological condition and the construction practice of the expressway, the main factor which influences the earthiness and rock slope stability of expressway in the Chongqing area has been analysed. Taking a large number of expressway slopes in Chongqing as examples, the method of artificial neural network is studied and used in prediction. Research result indicates, all kinds of slope stability prediction models built by artificial neural network technology have very good adaptability and high precision, so it is feasible to predict the slope stability of the expressway in Chongqing using this method.

关 键 词：重庆地区 高速公路边坡 边坡稳定性 BP神经网络 

分 类 号：TU457[建筑科学—岩土工程]