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Reliability analysis of settlement of pile group

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Abstract

Considering the highly variable nature of soil, reliability analysis of pile foundation is being explored in the modern scientific era. The paper investigates the application of relevance vector machines (RVM), generalized regression neural network (GRNN), genetic programming (GP) and adaptive-network-based fuzzy inference (ANFIS) in reliability analysis of settlement of pile group. The simulation is checked using Monte Carlo simulation (M-C). The performance of models is ascertained using various performance parameters and Taylor diagrams. The normality and homogeneity in performance of the models is tested by carrying out Anderson–Darling (AD) test and Mann–Whitney U (M–W) test, respectively. The paper concludes that the performance of RVM, GP and ANFIS were excellent while that of GRNN was poor.

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Authors and Affiliations

  1. Department of Civil Engineering, NIT Patna, Bihar, India

    Manish Kumar & Pijush Samui

  2. NIT Patna, Bihar, India

    Deepak Kumar

  3. School of Civil Engineering, Chongqing University, Chongqing, China

    Wengang Zhang

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  1. Manish Kumar
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  2. Pijush Samui
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Correspondence to Manish Kumar.

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Kumar, M., Samui, P., Kumar, D. et al. Reliability analysis of settlement of pile group. Innov. Infrastruct. Solut. 6, 24 (2021). https://doi.org/10.1007/s41062-020-00382-z

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