人民长江

• 论文 • 上一篇    下一篇

基于免疫遗传算法的堆石坝流变反演分析

陆周祺   

  • 出版日期:2019-04-28 发布日期:2019-04-28

Back analysis on rheological deformation of core rockfill dam based onImmune Genetic Algorithm

LU Zhouqi   

  • Online:2019-04-28 Published:2019-04-28

摘要: 过大的堆石坝流变变形有可能会引起坝体结构破坏,影响坝体的正常运行。为保障大坝安全运行,需要控制大坝坝体变形,而合理的坝体土料参数选择是计算模拟大坝变形的先决条件。结合瀑布沟水电站心墙堆石坝的施工、运行监测资料以及室内三轴试验成果,采用基于免疫遗传算法(IGA)的参数反演方法,反演分析堆石坝材料流变参数。根据反演分析结果进行堆石坝有限元分析,计算结果与实际监测值较为吻合,表明该算法具有较高的可靠性,对大坝变形的预测与控制有重要意义。

关键词: 堆石坝, 流变, 免疫遗传算法, 参数反演, 瀑布沟水电站

Abstract: Too large rheology deformation of rockfill dam may cause damage of structure and affect the normal operation, so controlling dam body deformation is important to ensuring the dam safety. The reasonable parameters of earth material are the prerequisite for calculating the deformation of rockfill dam. Combing with the construction, operation and monitoring data of Pubugou Core Rockfill dam, we apply parameters inversion method to obtain the rheological parameters of rockfill dam materials based on immune genetic algorithm (IGA). The results show that the finite element calculation that adopts parameters obtained by inversion is in good reasonably agreement with the actual monitoring values, indicating that the presented method has high reliability and significant meanings to deformation control of rockfill dams.

Key words: core rockfill dam, rheology, immune genetic algorithm, parametric inversion, Pubugou Hydropower Station