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作 者:刘应龙 傅蜀燕[2] 盛韬桢 朱凯[2,3] 张凯[3]
机构地区:[1]楚雄市水务局,云南楚雄675000 [2]河海大学水利水电学院,江苏南京210098 [3]河海大学水文水资源与水利工程科学国家重点实验室,江苏南京210098
出 处:《水电能源科学》2015年第10期46-49,共4页Water Resources and Power
基 金:国家自然科学基金项目(51179108);水利部公益性行业科研专项经费项目(201501033)
摘 要:为提高土石坝渗透压力统计模型的准确性,精确反映上游库水位及降雨对坝体渗流性态的影响,基于复合土工膜土石坝坝体渗流与环境量的非线性特征,提出考虑滞后效应的复合土工膜土石坝渗流分析模型,将前期库水位及降雨对坝体测压管水位的影响视为一个正态分布过程,并采用量子遗传算法对相应影响天数和滞后天数进行智能寻优,确定复合土工膜土石坝坝体测压管水位监控模型。以某土石坝为例,采用所建模型对其多年测压管水位进行拟合,并与传统土石坝测压管水位统计模型拟合结果做了对比,进而验证了该方法的有效性。In order to raise the accuracy of seepage statistical model of earth-rock dam and precisely reflect the influence of upstream water level and rainfall on the seepage conditions,based on the nonlinear characteristics between the earth-rock dam seepage and the ambient environmental factors,the seepage analysis model of the composite geomembrane earth dam is proposed considering the lag effect.The influence of the previous reservoir level and rainfall is considered as a normal distribution process and the corresponding influential and lag number of days is optimized by the quantum genetic algorithm.Thus,the safety monitoring model of the composite geomembrane earth dam is established.Finally,a certain earth dam is taken as an example,and the perennial piezometric water level is fitted by using the proposed method.Compared with the traditional piezometric level statistical model,the results verify the effectiveness of the proposed method.
关 键 词:复合土工膜土石坝 测压管水位 影响天数 滞后天数 量子遗传算法
分 类 号:TV698.1[水利工程—水利水电工程]
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