@article {10.3844/ajeassp.2019.204.213,
article_type = {journal},
title = {Dynamic Reliability Analysis of Steel Moment Frames Using Monte Carlo Technique},
author = {Lotf Aabadi, Majid Mahjoor},
volume = {12},
number = {2},
year = {2019},
month = {Jun},
pages = {204-213},
doi = {10.3844/ajeassp.2019.204.213},
url = {https://thescipub.com/abstract/ajeassp.2019.204.213},
abstract = {Designing of structures is the function of operation of them. However, operation of the structures depends on different uncertainties. In practical cases, uncertain parameters are simplified and formulated to certain parameters which are implemented in the designing approach. In this investigation, different structural parameters which bear with uncertainties including loading conditions, strength of materials and geometry of the structural elements are modeled and simulated based on Monte Carlo technique. Nonlinear dynamic time history analyses are conducted for different structures with steel moment frames based on finite element method using OpenSees code. Different responses are monitored for different accelerograms for both far and near field faults. Based on the results, the reliability index of steel frames in far field cases are larger than in near field cases.},
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}