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Structural Engineering and Mechanics Volume 41, Number 4, February25 2012 , pages 527-538 DOI: https://doi.org/10.12989/sem.2012.41.4.527 |
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Evaluation of accidental eccentricity for buildings by artificial neural networks |
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M. Badaoui, A. Chateauneuf, E. Fournely, N. Bourahla and M. Bensaibi
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| Abstract | ||
| In seismic analyses of structures, additional eccentricity is introduced to take account for oscillations of random and unknown origins. In many codes of practice, the torsion about the vertical axis is considered through empirical accidental eccentricity formulation. Due to the random nature of structural systems, it is very difficult to evaluate the accidental eccentricity in a deterministic way and to specify its effect on the overall seismic response of structures. The aim of this study is to develop a procedure for the evaluation of the accidental eccentricity induced by uncertainties in stiffness and mass of structural members, using the neural network techniques coupled with Monte Carlo simulations. This method gives very interesting results for single story structures. For real structures, this method can be used as a tool to determine the accidental eccentricity in the seismic vulnerability studies of buildings. | ||
| Key Words | ||
| seismic design; accidental eccentricity; neural networks; Monte Carlo; uncertainty | ||
| Address | ||
| M. Badaoui: University of Djelfa, Cite Ain Chih, BP3117 Djelfa, Algeria A. Chateauneuf: Clermont Universite, Universite Blaise Pascal, Institut Pascal, BP 10448, F-63000 Clermont-Ferrand, France; CNRS, UMR 6602, Institut Pascal, F-63171 Aubiere, France N. Bourahla and M. Bensaibi: University of Blida, Route De Soumaa, BP270 Blida, Algeria | ||