摘要
大坝安全监测是评价枢纽工程安全稳定的重要依据,其客观性将直接决定大坝监测成效和安全评价的准确性。文章利用某土石坝的历史监测资料,建立ACO-BP和BP两种不同的神经网络预测模型,计算该土石坝蓄水期的竖直位移时效影响,同时对比不同预测结果,分析得出适用于土石坝安全监测数据分析的网络模型,所得结论对大坝安全稳定性评价具有一定的指导意义。
Dam safety monitoring is an important basis to evaluate the safety and stability of multipurpose projects,and its objectivity will directly determine the effectiveness of dam monitoring and the accuracy of safety evaluation.Based on the historical monitoring data of an earth-rock dam,two various kinds of neural net prediction models,ACO-BP and BP,were set up in this paper to calculate the aging effect of the vertical displacement of the earth rock dam during the storage period,meanwhile,to compare the different prediction results,the network model suitable for the analysis of safety monitoring data of earth-rock dam is obtained,and the conclusion has certain guiding significance for the evaluation of dam safety and stability.
作者
吕德浩
LV De-hao(Linkou County Hydroelectric Power Development Corporation, Linkou 157699,China)
出处
《黑龙江水利科技》
2021年第11期148-149,225,共3页
Heilongjiang Hydraulic Science and Technology
关键词
大坝安全监测
神经网络模型
位移
稳定性
dam safety monitoring
neural net model
displacement
stability
