Title : ( A New Prediction Model for Soil Deformation Modulus Based on PLT Results )
Authors: Ali Mollahasani , امیر حسین علوی , امیر حسین گندمی , Jafar Bolouri Bazaz ,
Full TextAbstract
In this study, a new empirical model was developed to predict the secant soil deformation modulus (Es) using linear genetic programming (LGP). The best LGP model was selected after developing and controlling several models with different combinations of the influencing parameters. The experimental database used for developing the model was established upon a series of plate load tests (PLT) conducted on different soil types. A sensitivity analysis was carried out to determine the contributions of the parameters affecting Es. The proposed model gives precise estimations of the soil deformation modulus.
Keywords
Soil physical properties; Linear genetic programming; Nonlinear modeling
@inproceedings{paperid:1042831,
author = {Mollahasani, Ali and امیر حسین علوی and امیر حسین گندمی and Bolouri Bazaz, Jafar},
title = {A New Prediction Model for Soil Deformation Modulus Based on PLT Results},
booktitle = {9th International Symposium on Computational Civil Engineering, New Approaches in Numerical Analysis in Civil Engineering, Romania},
year = {2011},
location = {Iasi},
keywords = {Soil physical properties; Linear genetic programming; Nonlinear modeling},
}
%0 Conference Proceedings
%T A New Prediction Model for Soil Deformation Modulus Based on PLT Results
%A Mollahasani, Ali
%A امیر حسین علوی
%A امیر حسین گندمی
%A Bolouri Bazaz, Jafar
%J 9th International Symposium on Computational Civil Engineering, New Approaches in Numerical Analysis in Civil Engineering, Romania
%D 2011
