Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural network

2021年第15卷第5期

大纲

摘要

关键词

《结构与土木工程前沿（英文）》 >> 2021年第15卷第5期 doi: 10.1007/s11709-021-0744-6

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural network

展示更多

¹. Department of Civil Engineering, G H Raisoni College of Engineering & Management, Pune 412207, India;². Department of Civil Engineering, National Institute of Technology, Agartala 799046, India;². Department of Civil Engineering, National Institute of Technology, Agartala 799046, India

收稿日期：2021-02-09 录用日期： 2021-11-29 发布日期：2021-10-15

摘要

In the recent era, piled raft foundation (PRF) has been considered an emergent technology for offshore and onshore structures. In previous studies, there is a lack of illustration regarding the load sharing and interaction behavior which are considered the main intents in the present study. Finite element (FE) models are prepared with various design variables in a double-layer soil system, and the load sharing and interaction factors of piled rafts are estimated. The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial neural network (ANN) modeling, and some prediction models are proposed. ANN models are prepared with Levenberg–Marquardt (LM) algorithm for load sharing and interaction factors through backpropagation technique. The factor of safety (FS) of PRF is also estimated using the proposed NMR and ANN models, which can be used for developing the design strategy of PRF.

关键词

interaction ; load sharing ratio ; piled raft ; nonlinear regression ; artificial neural network

正文