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Parameter sensitivity and inversion analysis of a concrete faced rock-fill dam based on HS-BPNN algorithm

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Abstract

Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam (CFRD) and its displacements, the harmony search (HS) algorithm is used to optimize the back propagation neural network (BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang’s E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ 0, K, R f , and K b are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.

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Authors and Affiliations

  1. College of Water-conservancy and Hydropower, Hohai University, Nanjing, 210098, China

    PengMing Sun, TengFei Bao, ChongShi Gu, Ming Jiang, Tian Wang & ZhongWen Shi

  2. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China

    PengMing Sun, TengFei Bao, ChongShi Gu, Tian Wang & ZhongWen Shi

  3. National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing, 210098, China

    PengMing Sun, TengFei Bao, ChongShi Gu, Tian Wang & ZhongWen Shi

  4. Hydrochina Huadong Engineering Corporation, Hangzhou, 310014, China

    Ming Jiang

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  1. PengMing Sun
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  2. TengFei Bao
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  3. ChongShi Gu
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  4. Ming Jiang
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  5. Tian Wang
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  6. ZhongWen Shi
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Correspondence to TengFei Bao.

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Sun, P., Bao, T., Gu, C. et al. Parameter sensitivity and inversion analysis of a concrete faced rock-fill dam based on HS-BPNN algorithm. Sci. China Technol. Sci. 59, 1442–1451 (2016). https://doi.org/10.1007/s11431-016-0213-y

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  • DOI: https://doi.org/10.1007/s11431-016-0213-y

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