Paper Info
Title
Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems.
Abstract
Providing precise estimations of soil deformation modulus is very difficult due to its dependence on many factors. In this study, gene expression programming (GEP) and multi-expression programming (MEP) systems are presented to derive empirical equations for the prediction of the pressuremeter soil deformation modulus. The employed expression programming (EP) systems formulate the soil deformation modulus in terms of the soil physical properties. Selection of the best models is on the basis of developing and controlling several models with different combinations of the affecting parameters. The proposed EP-based models are established upon 114 pressuremeter tests on different soil types conducted in this study. The generalization capabilities of the models are verified using several statistical criteria. Contributions of the variables influencing the soil modulus are evaluated through a sensitivity analysis. The GEP and MEP approaches accurately characterize the soil deformation modulus resulting in a very good prediction performance. The result indicates that moisture content and soil dry unit weight can efficiently represent the initial state and consolidation history of soil for determining its modulus.
Year
DOI
Venue
2013
10.1007/s00521-012-1144-6
Neural Computing and Applications
Keywords
DocType
Volume
Soil deformation modulus, Expression programming techniques, Pressuremeter test, Soil physical properties
Journal
23
Issue
ISSN
Citations 
6
1433-3058
4
PageRank 
References 
Authors
0.41
16
5
Name
Order
Citations
PageRank
Amir Hossein Alavi1101645.59
Amir Hossein Gandomi21836110.25
Hadi Chahkandi Nejad3153.35
Ali Mollahasani480.95
Azadeh Rashed550.77