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Computers and Concrete
  Volume 9, Number 3, February 2012 , pages 215-226
DOI: https://doi.org/10.12989/cac.2012.9.3.215
 


Utilization of support vector machine for prediction of fracture parameters of concrete
Pijush Samui and Dookie Kim

 
Abstract
    This article employs Support Vector Machine (SVM) for determination of fracture parameters critical stress intensity factor (Ksic) and the critical crack tip opening displacement (CTODc) of concrete. SVM that is firmly based on the theory of statistical learning theory, uses regression technique by introducing
 
Key Words
    concrete; fracture mechanics; support vector machine; sensitivity analysis; artificial neural network; two-parameter model.
 
Address
Pijush Samui: Centre for Disaster Mitigation and Management. VIT University, Vellore-632014, Tamilnadu, India

Dookie Kim: Department of Civil Engineering, Kunsan National University, Kunsan, Jeonbuk, South Korea
 

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