大坝应力应变监测的多因素时变分析模拟

Multi Factor Time-Varying Analysis and Simulation of Dam Stress and Strain Monitoring

研究时域空间下大坝应力应变监测结果及其数据分析方法。数据来源为基于固定式和无人机机载激光点云设备的坝体应变数据和基于预埋式应力分析探头系统的坝体应力数据,通过传导函数判断两组物联网监测数据的反推关系发现,二者相互反推的误差小于1.0%。计算二者熵值获得坝体稳定性系数发现,其时域特征上在每年夏秋季出现坝体稳定性下降问题,考虑降水量影响,分析坝体稳定性系数与库容量的对应关系发现,二者呈线性关系。该土石坝当前状态,支持水库的最大蓄水条件下的坝体稳定性,即该土石坝在水库达到最大蓄水量时,其稳定性仍具备工程学意义。该土石坝面临的覆坝风险远大于溃坝风险。

The monitoring results and data analysis method of dam stress and strain in time domain space are studied.The data sources are dam strain data based on fixed and UAV recorded laser point cloud equipment and dam stress data based on embedded stress analysis probe system.The relationship between two groups of Internet of things monitoring data is judged by conduction function,and the error of mutual deduction is less than 1.0%.The stability coefficient of the dam body is obtained by calculating the entropy value of the two.It is found that the stability of the dam decreases in summer and autumn every year.Considering the influence of precipitation,the corresponding relationship between the stability coefficient of the dam and the reservoir capacity is analyzed,and it is found that the two are linear.The current state of the earth rock dam supports the stability of the dam body under the maximum water storage condition of the reservoir,that is,the stability of the earth rock dam still has engineering significance when the reservoir reaches the maximum storage capacity.The risk of dam cover is much greater than that of dam break.