Prediction of the undrained shear strength of remolded soil with non-linear regression,fuzzy logic,and artificial neural network

作     者：YÜNKÜL Kaan KARAÇOR Fatih GÜRBÜZ Ayhan BUDAK TahsinÖmür 

作者机构：Department of Civil EngineeringFaculty of Engineering and ArchitectureTokat Gaziosmanpaşa UniversityTokat 60100Türkiye Department of Civil EngineeringFaculty of Engineering and ArchitectureKafkas UniversityKars 36000Türkiye Department of Civil EngineeringFaculty of EngineeringGazi UniversityAnkara 06570Türkiye Ministry of Youth and SportsAnkara 06090Türkiye 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2024年第21卷第9期

页      面：3108-3122页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

主　　题：Undrained shear strength Liquidity index Water content ratio Non-linear regression Artificial neural networks Fuzzy logic 

摘      要：This study aims to predict the undrained shear strength of remolded soil samples using non-linear regression analyses,fuzzy logic,and artificial neural network modeling.A total of 1306 undrained shear strength results from 230 different remolded soil test settings reported in 21 publications were collected,utilizing six different measurement *** water content,plastic limit,and liquid limit were used as input parameters for fuzzy logic and artificial neural network modeling,liquidity index or water content ratio was considered as an input parameter for non-linear regression *** non-linear regression analyses,12 different regression equations were derived for the prediction of undrained shear strength of remolded ***-Forward backpropagation and the TANSIG transfer function were used for artificial neural network modeling,while the Mamdani inference system was preferred with trapezoidal and triangular membership functions for fuzzy logic *** experimental results of 914 tests were used for training of the artificial neural network models,196 for validation and 196 for *** was observed that the accuracy of the artificial neural network and fuzzy logic modeling was higher than that of the non-linear regression ***,a simple and reliable regression equation was proposed for assessments of undrained shear strength values with higher coefficients of determination.