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M.Tech / M.E / PhD Thesis | Civil Engineering | India | Volume 6 Issue 8, August 2017
Prediction of Blast Loading and its Impact and Remedial Measures on Building
Sanjay S. Singh | V. G. Sayagavi
Abstract: Concrete is the main constituent material in many structures. The behavior of concrete is assumed to be linear but it was proven by the experimental results that concrete is a non linear material. The stress-strain behavior of concrete was demonstrated to be highly non-linear, even at very low stress levels. Due to these reasons understanding exact behavior of concrete structure is very difficult. But due to introduction of advanced computing techniques equipped with finite element methods (FEM) it is possible to make non linear model of concrete. However, the complex behavior of concrete creates limitation in implementing FEM. The complexity is mainly due to non linear stress-strain relationship under multi axial stress conditions, strain softening and anisotropic stiffness reduction, progressive cracking and bond between concrete and reinforcement. Overcoming all these limitation is key in predicting non linear behavior of concrete. Non linear analysis can be done in many software such as ANSYS, ABAQUS, NASTRAN and ADINA. All these are not ready made applications which can work automatically on just giving commands and input data. To work in any of this software required knowledge of finite element method and firm understanding of concrete behavior. Among these software ABAQUS is capable of simulating complex geometrically non linear and material model. In this study a 3D reinforced concrete frame will be modeled in ABAQUS by using concrete damage plasticity model. Concrete damaged plasticity model works on Druker-Prager model which has to be totally understood and implemented for creating material model of concrete. The frame which is to be modeled will be subjected to lateral and gravity loading so as to understand local and global mechanisms of structural response.
Keywords: blast load, abaqus, concrete behavior, FEM
Edition: Volume 6 Issue 8, August 2017,
Pages: 1685 - 1689