Neuro-fuzzy based constitutive modeling of undrained response of Leighton Buzzard Sand mixtures

  • Authors:

  • Ali Firat Cabalar;Abdulkadir Cevik;Candan Gokceoglu;Gokhan Baykal

  • Affiliations:

  • Department of Civil Engineering, University of Gaziantep, 27310 Gaziantep, Turkey;Department of Civil Engineering, University of Gaziantep, 27310 Gaziantep, Turkey;Department of Geological Engineering, Hacettepe University, Ankara, Turkey;Department of Civil Engineering, Bogazici University, Istanbul, Turkey

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2010

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Abstract

This study aims to develop neuro-fuzzy (NF) based constitutive model for Leighton Buzzard Sand fraction B and Leighton Buzzard Sand fraction E mixtures using experimental data. The experimental database used for NF modeling is based on a laboratory study of saturated mixtures with various mix ratios under a 100kPa effective stress. Emphasis was placed on assessing the role of fines content in mixture and strain level on the deviatoric stress and pore water pressure generation in a 100mm diameter triaxial testing apparatus. The input variables in the developed rule based NF models are the Leighton Buzzard Sand fraction E content, and strain, and the outputs are deviatoric stress, pore water pressure generation and undrained Young's modulus. Experimental results show that Leighton Buzzard Sand fraction B and Leighton Buzzard Sand fraction E mixtures exhibits clay-like behavior due to particle-particle effects with the increase in Leighton Buzzard Sand fraction E content. It is also shown that the performance of capacities of proposed NF models are quite satisfactory.