Simulating the Stress-Strain Relationship of Geomaterials by Support Vector Machine

Joint Authors

Zou, Zhengsheng
Zhao, Hongbo
Huang, Zenghui

Source

Mathematical Problems in Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-14

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

Stress-strain relationship of geomaterials is important to numerical analysis in geotechnical engineering.

It is difficult to be represented by conventional constitutive model accurately.

Artificial neural network (ANN) has been proposed as a more effective approach to represent this complex and nonlinear relationship, but ANN itself still has some limitations that restrict the applicability of the method.

In this paper, an alternative method, support vector machine (SVM), is proposed to simulate this type of complex constitutive relationship.

The SVM model can overcome the limitations of ANN model while still processing the advantages over the traditional model.

The application examples show that it is an effective and accurate modeling approach for stress-strain relationship representation for geomaterials.

American Psychological Association (APA)

Zhao, Hongbo& Huang, Zenghui& Zou, Zhengsheng. 2014. Simulating the Stress-Strain Relationship of Geomaterials by Support Vector Machine. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-475119

Modern Language Association (MLA)

Zhao, Hongbo…[et al.]. Simulating the Stress-Strain Relationship of Geomaterials by Support Vector Machine. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-475119

American Medical Association (AMA)

Zhao, Hongbo& Huang, Zenghui& Zou, Zhengsheng. Simulating the Stress-Strain Relationship of Geomaterials by Support Vector Machine. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-475119

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-475119