| 325 | 7 | 171 |
| 下载次数 | 被引频次 | 阅读次数 |
对涔天河面板堆石坝施工期变形监测资料进行了较全面分析,然后建立了堆石坝施工期有限元模型。基于实测相对沉降,采用正交设计、神经网络、遗传算法相结合的方法,反演了堆石坝的非线性材料参数。分析表明:(1)涔天河面板堆石坝坝体沉降随着大坝填筑的逐步升高而增大,当填筑到320.3 m高程后,坝体沉降变形渐趋稳定。在施工期间,该大坝经历了"5.20"洪水、"11.11"罕见冬汛等事件,但对堆石坝的变形影响小。(2)基于实测相对沉降进行的堆石坝材料参数反演结果表明,主堆石区的K和Kb较室内剪切试验参数偏小,而其他反演参数结果和室内剪切试验值较为接近,沉降值计算值与实测值的时程曲线趋势符合较好。(3)由于观测房修建滞后,沉降仪从安装埋设到首次观测期间的沉降位移缺乏过程值,建议及时修建观测房,尽早获得沉降过程值。
Abstract:A comprehensive analysis is made on the deformation monitoring data during the construction of Centianhe River Concrete Face Rockfill Dam herein,and then a finite element model for the construction period of the dam is established. Based on the measured relative settlement,the nonlinear material parameters of the rock-fill dam are inversely analyzed with the method integrated with orthogonal design-neural network-genetic algorithm. The analysis shows that:( 1) The settlement of the body of Centianhe River Concrete Rockfill Dam increases along with the gradual increase of the filling height. When the filling height reaches the elevation of 320. 3 m,the settlement of the dam body is gradually tended to stabilize. During the construction period,the dam experiences the event of"5. 20"Flood and the rare"11. 11"Winter Flood,however,only small impact is there on the deformation of the dam.( 2) It is indicated from the result of the inversion analysis made on the materials for the construction of the dam on the basis of the measured relative settlement that compared with the parameters obtained from the indoor shear test,the inversion values of K and Kbin the main filling zone are little bit smaller,while the other inversion values are more close to those of the indoor shear test and the calculated settlement value is better coincided with the trend of the time-history curve of the measured value.( 3) Due to the lagging of the construction of the observation house,there are lack of the process values of the settlement in the period from the embedding to the initial observation,thus the observation house is suggested to be timely built for obtaining the settlement process values as earlier as possible.
[1]黄耀英,田斌,沈振中.基于工程类比法的面板堆石坝流变变形反馈[J].中国科学:技术科学,2015,45(4):434-442.
[2]张社荣,何辉.改进的遗传算法在堆石体参数反演中的应用[J].岩土力学,2005,26(2):182-186.
[3]田俊明,周晶.基于蚁群算法的土石坝土体参数反演[J].岩石力学与工程学报,2005,24(8):1411-1416.
[4]李金凤,杨启贵,徐卫亚.基于改进粒子群算法CHPSO-DS的面板坝堆石体力学参数反演[J].岩石力学与工程学报,2008,27(6):1229-1235.
[5]万智勇,黄耀英,朱赵辉,等.高寒地区碾压混凝土坝运行期力学参数反演分析[J].水利水电技术,2017,48(12):50-55.
[6]赵新瑞,黄耀英,左全裕,等.基于时空分布模型的混凝土面板堆石坝挤压边墙变形监测资料分析[J].水利水电技术,2016,47(10):29-33.
[7]方开泰.均匀设计与均匀设计表[M].北京:科学出版社,1994.
[8]岑威钧,朱岳明,罗平平.面板堆石坝有限元仿真计算及参数敏感性研究[J].水利水电科技进展,2005,25(4):16-18,25.
[9]肖化文.邓肯—张E-B模型参数对高面板坝应力变形的影响[J].长江科学院院报,2004,21(6):41-44.
[10]张宗亮.200 m级以上高心墙堆石坝关键技术研究及工程应用[M].北京:中国水利水电出版社,2011.
[11]杨超.改进的粒子群优化BP神经网络在大坝变形预测中的应用[D].抚州:东华理工大学,2016.
[12]李少林,周伟,马刚,等.基于改进遗传交叉算子的高心墙堆石坝参数反演[J].中南大学学报(自然科学版),2016(8):2730-2737.
基本信息:
DOI:10.13928/j.cnki.wrahe.2018.01.012
中图分类号:TV52
引用信息:
[1]袁斌,黄耀英,赵新瑞,等.涔天河面板堆石坝施工期变形监测资料及参数反演分析[J].水利水电技术,2018,49(01):82-89.DOI:10.13928/j.cnki.wrahe.2018.01.012.
基金信息:
国家自然科学基金项目(51209124)
2018-01-20
2018-01-20