Reliability analysis of settlement of pile group

被引：0
作者：
Manish Kumar
Pijush Samui
Deepak Kumar
Wengang Zhang
机构：
[1] NIT Patna,Department of Civil Engineering
[2] NIT Patna,School of Civil Engineering
[3] Chongqing University,undefined
来源：
Innovative Infrastructure Solutions | 2021年 / 6卷
关键词：
Pile foundation; Reliability; FOSM; GP; GRNN; ANFIS; RVM;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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