Abstract
After the fragility curve is established, the probability of structural damage reaching each level of damage under the action of the ground motion can be determined according to the ground motion parameters, so as to calculate the direct and indirect loss caused by the structural damage and complete the earthquake damage prediction. This paper combines the improved IMK resilience model to study the seismic vulnerability of high-pier and long-span bridges. Moreover, this paper obtains the parameter calculation model based on the regression analysis of PEER’s 255 column specimen data. The improved IMK model needs to modify the elastic stiffness and strain hardening rate of the rotating spring to ensure the accuracy of the lateral stiffness of the component. The experimental research shows that the seismic vulnerability research model of high-pier and long-span bridges based on the improved IMK restoring force model has a certain analytical effect.
Highlights
The seismic design strength of existing ordinary small and medium-span bridges is generally based on the national unified seismic zoning
This paper combines the improved IMK resilience model to study the seismic vulnerability of high-pier and long-span bridges and builds an intelligent model to provide a theoretical reference for the subsequent performance improvement of high-pier and long-span bridges
Literature [13] analyzed the seismic vulnerability of a four-span supported girder bridge, obtained the seismic response data of the structure through nonlinear dynamic time history analysis, and used a logical model to determine that the structure surpassed the specified ground motion intensity measurement parameters and used a logic model to determine the conditional probability that the structure exceeded the specified ground motion intensity measurement parameters
Summary
The seismic design strength of existing ordinary small and medium-span bridges is generally based on the national unified seismic zoning. A reasonable bridge earthquake damage prediction model can make a more accurate assessment of local earthquake losses from a macro perspective, including preearthquake assessment to control possible losses within an acceptable range, and establish a reasonable earthquake early warning and monitoring mechanism. It can quickly formulate rescue plans after an earthquake to provide support for government decision-making; on the other hand, the bridge earthquake damage prediction model can provide a more accurate reference for the seismic design of specific bridges. This paper combines the improved IMK resilience model to study the seismic vulnerability of high-pier and long-span bridges and builds an intelligent model to provide a theoretical reference for the subsequent performance improvement of high-pier and long-span bridges
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