Simulating the Stress‐Strain Relationship of Geomaterials by Support Vector Machine
Hongbo Zhao, Zenghui Huang, Zhengsheng Zou
Source abstract
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.
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