
System Vulnerability of Concrete-Filled Steel Tubular Arch Bridges
QIN Sifeng, WEN Long, MA Cunduo, XU Chunli
System Vulnerability of Concrete-Filled Steel Tubular Arch Bridges
In order to accurately evaluate the seismic damage of concrete-filled steel tubular (CFST) arch bridge, this paper regards the arch bridge system as a series-parallel system, that is, the key systems of the arch bridge system are connected in series, and the single components of different key systems are connected in series or in parallel. Taking a CFST arch bridge as the research object, the seismic response values of each component of the arch bridge are obtained by time-history analysis and neural network prediction. Based on the Copula function, the vulnerability of each key system and the overall system of the arch bridge are obtained respectively, and compared with the system vulnerability based on the first-order boundary method. The results show that the accurate seismic response value of arch bridge structure can be obtained by neural network prediction. When the peak ground acceleration A PG=0.4g, the prediction accuracy rate exceeds 90%, and with the increase of A PG, the accuracy rate gradually increases. Among the key component systems of the arch bridge, the failure probability of the arch column system is the highest, and the seismic isolation measures should be taken in the seismic design. The failure probability of the wind bracing system is the lowest, and the influence of the wind bracing system can be ignored in the vulnerability analysis of the arch bridge system. The vulnerability of the arch bridge system based on the series-parallel system is between the upper and lower bounds of the first-order boundary method. When the A PG=0.3g, the failure probabilities of the series-parallel system under mild, moderate and severe damage conditions are 98%, 94% and 25%, respectively. The relative deviations from the upper bounds of the first-order boundary method are -1.4%, -3.1% and -16%, respectively, and the relative deviations from the lower bounds are 0.6%, 3% and 11%, respectively. It is obviously more reasonable to use the series-parallel system to analyze the vulnerability of the CFST arch bridge.
concrete-filled steel tubular arch bridge / seismic vulnerability / series-parallel system / Copula function / time-history analysis / neural network / failure probability
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