in this research, a two-phase algorithm based on the artificial neural network (ann) and a harmony search (hs) algorithm has been developed with the aim of assessing the reliability of structures with implicit limit state functions. the proposed method involves the generation of datasets to be used specifically for training by finite element analysis, to establish an ann model using a proven an...

the main cause of structural damage in buildings subjected to seismic actions is lateral drift. in almost all reinforced concrete (rc) structures, whether designed with walls or frames, it is likely to be the code drift limits that control the design drift. the design drift limits and their contribution to damage may be represented indirectly through the material strain limits. the aim of this ...

In this study, an efficient method based on Monte Carlo simulation, utilized with Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced for reliability analysis of structures. Monte Carlo Simulation is capable of solving a broad range of reliability problems. However, the amount of computational efforts that may involve is a draw back of such methods. ANFIS is capable of approximating str...