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This document discusses simulating cyclic lateral load tests of reinforced concrete columns using OpenSees software. The simulations aim to determine the response of reinforced concrete columns under cyclic lateral loads, study using fiber section models to represent reinforced concrete sections, and understand how model configuration and parameters affect simulation results. The overall goal is to learn how to use OpenSees for these types of simulations.

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Simulation of cyclic lateral load test of reinforced concrete columns

Simulation of cyclic lateral load test of reinforced concrete columns ,[object Object],[object Object],http://opensees.berkeley.edu

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In this paper, the system assessment theory of he concrete filled steel tubular arch bridge which is based on the theory of the reliability of system reliability is researched through the finite element analysis software ANSYS. Because the concrete filled steel tube arch bridge has the characteristics, such as the components numerous, complex forces, unable to list the of the explicit limit state equation, so use the probability design module of ANSYS (PDS) technology for the performance evaluation of the concrete filled steel tubular arch bridge with the combination of the reliability theory of monte carlo (MC) method, the response surface method (RSM) and the equivalent normal distribution method (JC method).According to the measured data and documents, selecte the random variables which have a large influence on structure reliability as the input parameters and use APDL language to write the structural response’s parameterized model of concrete filled steel tubular arch bridge. Then fit the response surface equation and get its statistical sampling parameters, and finally using Matlab program based on JC method to calculate the reliability index of the components. According to the structure characteristics of concrete filled steel tube arch bridge, the whole structure is as a series of arch rib series, derrick, floor system, selection of components of the minimum reliability index as the system's reliability index.

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