<紀要論文>
最大耐力後の挙動を考慮した部材要素モデルの実験データベースに基づく精度検証 : 鉄筋コンクリート部材およびH形鋼部材について

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概要 In an analysis using the stress fiber discretization method, constitutive material models primarily dominate the accuracy of nonlinear behaviour for both of reinforced concrete (RC) structures and ste...el structures. Although various constitutive models for reinforced concrete components and steel components have been proposed, the ability of above models to capture strength and stiffness deterioration has not been fully calibrated. In this paper, comprehensive calibration and validation of the models of RC components and H-shaped steel components incorporating the strength, the ductility and the deterioration of strength and stiffness after the peaks are conducted, in order to support the prediction on the collapse resisting capacity of existing RC and steel high-rise moment resisting frame buildings. The effects of loading procedure on the strength, ductility and deterioration are investigated by comparing those of models to the experimental database. According to the calibration results, the deviation dispersion of the components under cyclic loadings is observed more widely than that of the components under uniaxial compression, since that the deterioration induced by cyclic loadings is more complex than the one of under pure uniaxial compression. Besides, the uncertainty of the post-peak deterioration of the hysteretic curves under cyclic loadings is larger than that of peak point. H-shaped steel components can be simulated more accurately than RC components for both peak point and post-peak deterioration, due to the complexity of the RC components that increase the uncertainty of the mechanical behaviour of confined concrete and steel reinforcement. The models for RC components and H-shaped steel components may have enough accuracy to predict the strength, ductility and deterioration, and further to be utilized in the collapse analysis of RC and steel high-rise moment-resisting frame buildings, respectively.続きを見る

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登録日 2013.08.07
更新日 2020.11.27

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