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Research Reports |
| Title: | Analytical Modeling of Seismic Performance of Curved and Skewed Bridges |
| Authors: | Suren Chen, Luke Chen, and Yufen Zhou |
| University: | Colorado State University |
| Publication Date: | Aug 2019 |
| Report #: | MPC-19-395 |
| Project #: | MPC-461 |
| TRID #: | 01716049 |
| Keywords: | analysis, curved bridges, methodology, seismicity, simulation, skew bridges, traffic flow, traffic loads, vehicle dynamics |
| Type: | Research Report – MPC Publications |
Due to the current limitations on seismic forecasting, there is a high chance that a considerable number of vehicles would remain on a bridge when an earthquake occurs. In traditional seismic analyses, traffic loads were often ignored. Existing mode-based bridge-traffic interaction analysis usually cannot consider nonlinearity effects of the bridge under earthquakes, which are critical to short- and medium-span bridges. Traditional nonlinear seismic analyses using commercial or open-source software cannot directly incorporate complex dynamic interactions between moving vehicles and bridges. So far there is no reported methodology that can be used for nonlinear seismic analyses of typical short- and medium-span bridges while rationally considering the coupling effects between the bridge, moving vehicles, and earthquake simultaneously. A hybrid simulation approach is proposed to conduct the nonlinear seismic analysis of the bridge/traffic/earthquake system by integrating the stochastic traffic flow simulation, the mode-based fully-coupled simulation technique of the bridge-traffic system, and the nonlinear seismic analysis platform that was developed based on OpenSees. A skewed and curved bridge, which is a common design to overcome complex intersections and terrain restrictions for short- and medium-span bridges, is studied as a demonstration; this is followed by the numerical investigation of the bridge seismic performance and the impact of incorporating traffic loads. The results suggest the proposed hybrid methodology can capture the complex dynamic interactions between the bridge and multiple vehicles, as well as the nonlinear seismic performance to provide rational prediction results.
Chen, Suren, Luke Chen, and Yufen Zhou. Analytical Modeling of Seismic Performance of Curved and Skewed Bridges, MPC-19-395. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2019.
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