多因素耦合下的寒区渠道滑坡智能化定量评价  

Intelligent Quantitative Evaluation of Channel Landslide in Cold Area Under the Action of Multi⁃Factor Coupling

作　　者：赵顺利 邓伟杰 路新景 郭冲 李雪彤 ZHAO Shunli;DENG Weijie;LU Xinjing;GUO Chong;LI Xuetong(Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450003,China;College of Civil Engineering and Architecture,Henan University of Technology,Zhengzhou 450001,China)

机构地区：[1]黄河勘测规划设计研究院有限公司,河南郑州450003 [2]河南工业大学土木建筑学院,河南郑州450001

出　　处：《人民黄河》2022年第10期145-149,共5页Yellow River

基　　金：国家重点研发计划项目(2017YFC0405104);黄河勘测规划设计研究院有限公司自主研究开发项目(2019-ky09)。

摘　　要：受多种复杂因素的影响,寒区渠道边坡通常面临着滑坡灾害等不利局面。为实现寒区渠道边坡智能化评价,选取具体工程渠段,结合已有灾害统计和相关研究成果进行风险因子识别和遴选。通过数值模拟和遗传算法优化的广义回归神经网络(GAGRNN)构建多因素耦合作用下的寒区渠道滑坡智能化定量评价模型。通过改变数值模型参数,完成滑坡定量数据库的构建,并通过GA-GRNN进行智能化定量评价,在此基础上,进一步进行安全分级及分级响应等研究。研究结果表明:建立的智能定量评价模型可以高精度地预测滑坡的安全系数,为寒区渠道的健康诊断提供良好的技术支撑。Under the influence of many complex factors,the channel slope in cold area is usually faced with the adverse situation of landslide disaster.In order to realize the intelligent evaluation of channel slope in cold area,the channel section of specific project was selected,and the risk factors were identified and selected based on the existing disaster statistics and related research results.Through the numerical simu⁃lation and generalized regression neural network(GA⁃GRNN)optimized by and genetic algorithm,the intelligent quantitative evaluation model of channel landslide in cold area under the coupling effect of multiple factors was constructed.By changing the parameters of the nu⁃merical model,the quantitative database of landslide was constructed,and the intelligent quantitative evaluation was carried out by GA⁃GRNN.On this basis,further research on security classification and hierarchical response was carried out.The results show that the estab⁃lished intelligent quantitative evaluation model can predict the safety factor of landslide with high accuracy,and provide a good technical sup⁃port for the health diagnosis of cold channel.

关 键 词：寒区渠道 滑坡 数值模拟 GA-GRNN 智能化评价 

分 类 号：TV91[水利工程—水利水电工程]