PREDICTION OF LATERAL EFFECTIVE STRESSES IN SAND USING ARTIFICIAL NEURAL NETWORK

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概要

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• 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 K_0 conditions. K_0 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 K_0 in cohesionless soils. The variation of K_0 values with internal friction angles is obtained and a simple expression is derived from this relationship.

• 社団法人地盤工学会の論文

著者

• Laman Mustafa

  Department Of Civil Engineering University Of Cukurova

• Kara H.

  Department Of Civil Engineering University Of Erciyes

• UNCUOGLU ERDAL

  Department of Civil Engineering, University of Cukurova

• SAGLAMER AHMET

  Department of Civil Engineering, Istanbul Technical University

• Uncuoglu Erdal

  Department Of Civil Engineering University Of Cukurova

• Saglamer Ahmet

  Department Of Civil Engineering Istanbul Technical University

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• PREDICTION OF LATERAL EFFECTIVE STRESSES IN SAND USING ARTIFICIAL NEURAL NETWORK

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