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Computers and Concrete
  Volume 9, Number 3, February 2012 , pages 215-226

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

    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.
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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