Vulnerability analysis of high-strength steel-reinforced UHPC frame structures
To investigate the shock resistance of ultra-high performance concrete(UHPC)structures with high-strength steel,eight earthquakes were selected for the incremental dynamic analysis of the normal reinforced concrete frame structure(model Frame-C)and the high-strength steel-reinforced UHPC frame structure(model Frame-UH-PC).Taking the maximum story drift ratio and spectral acceleration as the structural demand and ground motion in-tensity parameters,respectively,the probabilistic seismic demand model was fitted to calculate the seismic suscepti-bility curves of the two models,thus deriving the risk prediction and damage assessment results.The results reveal that compared with model Frame-C,the ground motion intensity of model Frame-UHPC is higher when the maximum probability of moderate or severe damage is reached,thus indicating that the model Frame-UHPC has better seismic resistance under the action of strong earthquakes.Furthermore,under the action of small earthquakes,the vulnerabil-ity index of the model Frame-UHPC is significantly lower than that of model Frame-C,thereby reflecting the high-strength advantage of the UHPC structure.However,when using the normative performance points,the difference be-tween the vulnerability indices of the two models under moderate or maximum earthquake is small,and the model Frame-UHPC cannot maximize the advantages of UHPC and high-strength steels.Therefore,the suggested perform-ance points suitable for model Frame UHPC are given by sorting out and analyzing the data of reinforced UHPC col-umns in the literature.Compared with the normative performance points,the probability of Frame-UHPC reaching the ultimate state is lower,and the vulnerability index is significantly reduced when using the suggested performance points.Furthermore,the vulnerability indexes for frequent and moderate earthquakes are reduced by 19.5%and 42.3%,respectively,showing that model Frame-UHPC can better maximize its material advantages by using the sug-gested performance points.
国家科技期刊平台
NSTL
万方数据
维普
