PREDICTION OF LATERAL EFFECTIVE STRESSES IN SAND USING ARTIFICIAL NEURAL NETWORK

SOILS AND FOUNDATIONS

H. BEKIR KARA²  AHMET SAGLAMER¹  ERDAL UNCUOGLU³  MUSTAFA LAMAN³ 

[1] Department of Civil Engineering, Istanbul Technical University;Department of Civil Engineering, University of Erciyes;Department of Civil Engineering, University of Cukurova

关键词: artificial neural network;    at rest pressure;    backpropagation;    computer application;    laboratory test;    relative density;    sand;    (IGC: D3/E5/E13);   

DOI  :  10.3208/sandf.48.141

学科分类：建筑学

来源: Japanese Geotechnical Society / Jiban Kogakkai

【 摘 要 】

References(39)Predicting the lateral effective stress and the coefficient of lateral earth pressure at rest values is an important task in geotechnical engineering since it is used in the design and analysis of earth retaining structures, slope stability, piles and pier foundations. It needs sophisticated test procedures. The laboratory and in situ tests are also expensive and time consuming. In this study, an artificial neural network model is developed to predict the σ′h, lateral effective stress in cohesionless soils. Back propagation neural networks are used for function approximation and model has been trained by Levenberg-Marqurdt (LM) learning algorithm. The data used in the running of network models have been obtained from extensive series of oedometer tests on Kilyos, Ayvalik and Yalikoy sands. Tests were carried out on loose, medium dense and dense state of compactness in normal loading, unloading and reloading conditions. The test results demonstrate that there is a linear relationship between vertical and lateral stresses for normally loaded cohesionless soils under K0 conditions. K0 values obtained for the loose state of compactness are higher than for the dense state of compactness. The results of the artificial neural network model indicate that the model serves as simple and reliable tool to predict σ′h and also K0 in cohesionless soils. The variation of K0 values with internal friction angles is obtained and a simple expression is derived from this relationship.

【 授权许可】

Unknown