摘要
结合柴河水库土坝的测压管实际观测资料,采用改进的遗传算法对柴河水库土坝心墙及坝壳混合料的渗透系数进行了反演分析计算,得出坝壳混合料以及心墙料的渗透系数分别为4.69×10-4、2.13×10-6cm/s。采用正分析方法把遗传算法反分析出的渗透系数代入到有限元法建立的模型中进行计算,得到各特征部位渗流要素数值计算结果,通过测压管所在节点的水位与实测管水位、坝基渗流量实测值与计算值检验有限元计算结果的准确性。结果表明:水位计算值的相对误差较小,坝基渗流量计算值与实测值相比误差也较小,表明反演的坝壳混合料以及心墙料的渗透系数是准确的。
The permeability coefficient of shell mixture and core wall of Caihe Reservoir dam was back analyzed with an improved genetic algorithm according to Caihe Reservoir dam measured data of piezometer tube. The permeability coefficients of shell mixture and core wall were found for 4.69 × 10 -4 cm/s and 2.13 × 10 -6 cm/s respectively. The numerical calculation solution of seepage elements was generated by using analysis method through putting the permeability coefficient that was back analyzed with genetic algorithm program into the seepage finite element model. By osmotic pressure gauge where the nodes tube head tube and measured water level, measured and calculated values accuracy of the results of founda- tion seepage test results showed that : the relative error of osmotic pressure head tube and measured water level is small, dam seepage relative error flow measured and calculated values are also smaller, the results show that the inversion of the dam shell and core material mixes permeability coef- ficient is accurate.
出处
《人民黄河》
CAS
北大核心
2014年第4期95-98,共4页
Yellow River
关键词
渗透系数
反演分析
遗传算法
坝基渗流量
土坝
柴河水库
permeability coefficient
inversion analysis
seepage control
genetic algorithm
foundation seepage
earth darn
Chaihe Reservoir