Abstract

This study presents settlement predictions for footings with geogrid reinforcement and biaxial eccentricity using multi-linear regression (MLR) and artificial neural network (ANN) methods. The effects of central, uniaxial and biaxial eccentric loading conditions on embedded and non-embedded square footings in unreinforced and reinforced soils were investigated with laboratory model tests given in the first part of the study. Variations in the bearing capacity were determined through vertical load versus settlement curves drawn after each test. In the second part of this study, MLR and ANN models used to predict settlement were improved using independent variables related with the footings and geogrid. The results showed that fluctuations in the datasets of the settlement were very well reflected by the ANN methods.

In this study, the stress, the bearing capacity and the settlement behavior in the loose sandy soils were investigated experimentally and theoretically. The study was performed in central loading conditions using strip and rectangular footings. The vertical stresses resulting from the external are measured for three different distances simultaneously. And also the load-settlement curves were obtained. The results showed that the bearing capacity increases when the length of the footing increases and the measured vertical stress values decrease along the depths for all the three types of the footing types. The test results were compared with theoretical results given in the literature. As seen from this comparison, the experimental results are in accordance with the theoretical results.

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