Abstract
Aiming at overcoming the defects such as slow searching speed and easily trapping into local extremum at anaphase of the shuffled frog leaping algorithm (SFLA), based on the Evolutionary Exploration strategy, a more effective shuffled frog leaping algorithm, Improved Shuffled Frog Leaping Algorithm (ISFLA), which can be applied to the inverse analysis of seepage parameters to dams, is proposed. With the introduction of the threshold value selection in the local search of the original initial population to improve the best frogs in memeplex, the improved algorithm overcomes the shortcomings of traditional SFLA which can easily fall into a local optimum. By comparative analysis between the laboratory test and numerical simulation, the effectiveness and accuracy of ISFLA are demonstrated by the application to the inversion analysis of seepage parameters of earth dams. Furthermore, the inversion analysis of seepage parameters to the earth dam in Lianyungang China is studied by the ISFLA. Moreover, the seepage characteristics of the dam are evaluated; thus, the suggestion that the dam should be reinforced is put forward. All the results show that ISFLA in an inverse analysis of seepage parameters of dams has excellent value to hydropower engineering.
Highlights
During the long operation time, dams and their foundations suffered from various loads, which may lead to huge changes in the seepage parameters of the structure
Improved Shuffled Frog Leaping Algorithm (ISFLA) is an efficient and practical numerical method to search for the optimal solution, such as some of the most representative computational intelligence algorithms such as the monarch butterfly optimization (MBO) [22], earthworm optimization algorithm (EWA) [23], and elephant herding optimization algorithm (EHO) [24]
By combining ISFLA and the finite element method for seepage, the program for inverse analysis of seepage parameters is completed. e accuracy and efficiency of the program are proven by a comparative example; it is applied to solve the problem of engineering in Lianyungang, China
Summary
During the long operation time, dams and their foundations suffered from various loads, which may lead to huge changes in the seepage parameters of the structure. Inverse analysis can revise seepage parameters of dams and rock foundations based on dams’ monitoring information, so it can make the forecasting value and monitoring value more accordant; it can provide more objective material parameters for the establishment of dams’ security monitoring mathematical model. Traditional optimization methods have drawbacks, such as outcomes’ relying on initial values, difficulty in multiple parameters optimization, and outcomes trapped into local extremum at anaphase [7] To solve these problems, a lot of new optimization algorithms have been proposed [8,9,10]. Based on the evolution strategy of SFLA, we propose an Improved Shuffled Frog Leaping Algorithm in this paper and apply it to the inverse analysis of dams’ seepage parameters.. The seepage characteristics of the dam are evaluated, the suggestion that the dam should be reinforced is put forward
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