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Probabilistic Estimation Seismic Resistance of Plain Steel Frame
Author(s) -
Олег Мкртычев,
Sergey Bulushev
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/661/1/012016
Subject(s) - probabilistic logic , margin (machine learning) , structural engineering , frame (networking) , nonlinear system , earthquake resistance , set (abstract data type) , engineering , mathematics , geotechnical engineering , computer science , statistics , physics , quantum mechanics , machine learning , programming language , telecommunications
The purpose of the study is to estimate the coefficient K 1 , which considers the permissible damage to buildings and structures in a probabilistic formulation. For the study, a flat steel frame was designed in accordance with SP 14.13330.2014 “Construction in seismic regions”. The frame calculation was performed in the LS-DYNA software package in a nonlinear dynamic formulation for a set of synthesized accelerograms. The set of accelerograms represents 50 implementations of random earthquake action with a fixed mathematical expectation of the dominant frequency. By gradually increasing the intensity of the action, the frame was brought to fracture in a numerical experiment, the results of which determined the safety margin of load-bearing capacity at each implementation. Further, by considering the safety margin and coefficient K 1 , their average values were determined. The obtained results showed that the actual coefficient K 1 for the structure under study is significantly lower than its standard value, and the steel structure under consideration has a significant margin of seismic resistance. Thus, the developed method enables to estimate the actual value of the coefficient K 1 .

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