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An Investigation of PSO Algorithm-Based Back Analysis on the Three-Dimensional Seepage Characteristics of an Earth Dam

机译:基于PSO算法的后分析对土坝三维渗流特性的研究

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摘要

In view of the problem of seepage safety and the character of dangerous reservoir earth dam, the 3D seepage of FEM back analysis was studied. Based on a reservoir project, the rationality of prototype observation data in recent years is analyzed, and the effective monitoring point and its observation data are selected for back analysis. The simulation calculation model is built, and the permeability coefficient of key materials and seepage characteristics of calculation area of earth dam are obtained after using particle swarm optimization (PSO) algorithm as the inversion algorithm and using FEM as the seepage field algorithm method of improved nodal virtual flux. The results shows that the PSO, which has high efficiency with back analyzing the permeability coefficient of materials in the dam and satisfactory accuracy, can meet the requirements of engineering, and a large seepage gradient in overflow point and boundary of earth dam, which is unfavorable for dam seepage stability, is produced when the problem of contact erosion is also existed in connection part of earth dam section and masonry dam section.
机译:鉴于渗漏安全和危险水库土坝特征的问题,研究了有限元对分析的3D渗漏。基于储层项目,分析了近年来原型观测数据的合理性,并选择了有效的监测点及其观察数据进行了反对分析。建立了模拟计算模型,使用粒子群优化(PSO)算法作为反演算法之后获得了地球大坝计算区域的关键材料和渗流特性的渗透系数,并使用FEM作为改进节点的渗流场算法方法虚拟通量。结果表明,具有高效率的PSO分析水坝中材料的渗透系数和令人满意的精度,可以满足工程的要求,以及地球大坝溢流点和边界的大渗流梯度,这是不利的对于大坝渗漏稳定性,在接触侵蚀问题中也存在于地下坝段和砌体坝段的连接部分中存在。

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