摘要
渡槽经长期运行后,其材料力学参数与设计参数存在较大差异,为获得渡槽真实物理力学参数,基于实测钢筋应力进行参数反演分析。首先开展现场通水钢筋应力监测试验获得实测钢筋应力,然后基于三维渡槽有限元计算确定水压因子,进而建立实测钢筋应力统计模型,并采用回归分析法分离出水压分量和温度分量,最后采用正交设计-神经网络模型-数值计算相结合的方法,优化反演渡槽材料力学参数。研究表明:所建立的实测钢筋应力统计模型拟合精度高,反演获得的渡槽内缘保护层混凝土、外缘保护层混凝土、槽身和端部混凝土以及钢筋的弹性模量分别为相应设计参数的37. 87%、34. 97%、66. 23%、63. 79%,该渡槽劣化较为严重。
Long-term operation of the aqueduct leads to great discrepancies between the actual parameters and the designed parameters.In order to obtain the true physical and mechanical parameters of the aqueduct material,the parameters of the aqueduct are inversely analyzed based on measured steel stress. First,the stress monitoring test of steel bar with water in the field was carried out to obtain the measured steel bar stress.Then the hydraulic pressure factor was determined based on the finite element calculation of the three-dimensional aqueduct and the statistical model was established based on the measured steel bar stress.Regression analysis was used to isolate the water pressure and temperature components and finally combined the neural network mode,orthogonal design and numerical calculation to optimize the inversion of mechanical parameters of aqueduct.The results showed that the accuracy of the statistical model for measured steel stress established in this paper is high and the elastic modulus of the concrete in the inner edge,the concrete in the outer edge protective layer,the trunk and end concrete and the rebar are 37.87%,34.97%,66.23%and 63.79%,respectively of the corresponding design parameters.The degradation of the aqueduct is serious.
作者
丁宇
袁斌
黄耀英
夏世法
刘钰
DING Yu;YUAN Bin;HUANG Yaoying;XIA Shifa;LIU Yu(College of Hydraulic &Environment Engineering,China Three Gorge University,Yichang 443002,China;China Institute of Water Resource and Hydropower Research,Beijing 100038,China)
出处
《水资源与水工程学报》
CSCD
2018年第5期202-207,共6页
Journal of Water Resources and Water Engineering
基金
国家自然科学基金项目(51779130)
三峡大学硕士学位论文培优基金项目(2017YPY006)
关键词
大型渡槽
水压力
实测钢筋应力
统计模型
力学参数反演
large aqueduct
water pressure
measured steel bar stress
statistical model
inverse analysis of mechanical parameters
