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Nonlinear Stochastic Analysis of an Over-Reinforced Beam
Authors: Yurdakul Özgür | Tunaboyu Onur | Korkmaz Omer | Řoutil Ladislav | Avsar Ozgur
Year: 2017
Type of publication: ostatní do riv
Publisher name: Anadolu University
Place: Eskisehir
Page from-to: 1-8
Titles:
Language Name Abstract Keywords
cze Nonlinear Stochastic Analysis of an Over-Reinforced Beam The response of a reinforced concrete beam, which was designed with over-reinforcement to achieve concrete crushing, was investigated by experimental and numerical method. Due to inherent uncertainty in material constitutive models, a nonlinear finite element method (FEM) was combined with a suitable stochastic sampling technique to propose a more advanced model for estimating the response of an over-reinforced beam. For this purpose, the specimen was first tested under monotonic loading up to failure by four-point bending test. Then, the stochastic numerical model was developed by using Latin Hypercube Sampling (LHS) including statistical correlation among the prominent material parameters. Random parameters of the concrete and reinforcement steel were defined in accordance with the material test results or code recommendations. The constituent outcomes of the stochastic model including stress development and load‒displacement curves were presented in a form of statistical characteristics. Moreover, the reliability of the member was compared with the code requirement to ensure the safe loading range. To conclude, the result of the stochastic approach matched well with exhibited brittle behavior of the specimen, which was a sort of the concrete crushing due to reaching the limit strain of the concrete in compression. over-reinforced beam, concrete crushing, finite element method, stochastic model, random parameter
eng Nonlinear Stochastic Analysis of an Over-Reinforced Beam The response of a reinforced concrete beam, which was designed with over-reinforcement to achieve concrete crushing, was investigated by experimental and numerical method. Due to inherent uncertainty in material constitutive models, a nonlinear finite element method (FEM) was combined with a suitable stochastic sampling technique to propose a more advanced model for estimating the response of an over-reinforced beam. For this purpose, the specimen was first tested under monotonic loading up to failure by four-point bending test. Then, the stochastic numerical model was developed by using Latin Hypercube Sampling (LHS) including statistical correlation among the prominent material parameters. Random parameters of the concrete and reinforcement steel were defined in accordance with the material test results or code recommendations. The constituent outcomes of the stochastic model including stress development and load‒displacement curves were presented in a form of statistical characteristics. Moreover, the reliability of the member was compared with the code requirement to ensure the safe loading range. To conclude, the result of the stochastic approach matched well with exhibited brittle behavior of the specimen, which was a sort of the concrete crushing due to reaching the limit strain of the concrete in compression. over-reinforced beam, concrete crushing, finite element method, stochastic model, random parameter

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