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  5. Formulation of secant and reloading soil deformation moduli using multi expression programming

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Article
English
2012

Formulation of secant and reloading soil deformation moduli using multi expression programming

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English
2012
Engineering Computations
Vol 29 (2)
DOI: 10.1108/02644401211206043

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Amir Gandomi
Amir Gandomi

University of Techology Sdyney

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Amir H. Alavi
Ali Mollahasani
Amir Gandomi
+1 more

Abstract

Purpose The purpose of this paper is to develop new constitutive models to predict the soil deformation moduli using multi expression programming (MEP). The soil deformation parameters formulated are secant (Es) and reloading (Er) moduli. Design/methodology/approach MEP is a new branch of classical genetic programming. The models obtained using this method are developed upon a series of plate load tests conducted on different soil types. The best models are selected after developing and controlling several models with different combinations of the influencing parameters. The validation of the models is verified using several statistical criteria. For more verification, sensitivity and parametric analyses are carried out. Findings The results indicate that the proposed models give precise estimations of the soil deformation moduli. The Es prediction model provides considerably better results than the model developed for Er. The Es formulation outperforms several empirical models found in the literature. The validation phases confirm the efficiency of the models for their general application to the soil moduli estimation. In general, the derived models are suitable for fine‐grained soils. Originality/value These equations may be used by designers to check the general validity of the laboratory and field test results or to control the solutions developed by more in‐depth deterministic analyses.

How to cite this publication

Amir H. Alavi, Ali Mollahasani, Amir Gandomi, Jafar Bolouri Bazaz (2012). Formulation of secant and reloading soil deformation moduli using multi expression programming. Engineering Computations, 29(2), pp. 173-197, DOI: 10.1108/02644401211206043.

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Publication Details

Type

Article

Year

2012

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

Engineering Computations

DOI

10.1108/02644401211206043

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