In recent years,reinforced concrete structure failures during construction time occur frequently. Therefore, the research on structural reliability during construction is paid increasingly more attention on by scholars around the world. In this thesis, the following aspects of research on the issues of reliability of reinforced concrete structures during construction are done on the basis of the current research findings.First of all, the load effects of the structure during construction are studied by means of ANSYS.Secondly, based on the strong nonlinearity and learning ability of artificial neural networks, a model for calculating load effect of structure during construction is presented. In this model, the finite element method results by ANSYS are used for training and testing. It is showed that the method is feasible and effective with high precision.And then, based on the features of reinforced concrete structures during construction, the features of construction resistance of the structural element are studied, and the probability model of the resistance is suggested. The factors which influence construction resistance of the structural element during construction are analyzed.Lastly, based on the above work, the reliability of the structure during construction is analyzed. The reliability index of the structure during construction has been calculated using optimization method. Furthermore the GA (Genetic Algorithm) method is introduced into the analysis. |