Intelligent transportation networks with mobile SHM support and bridge performance assessment

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2020-9

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Malekloo, Arman

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Bridge infrastructures are critical nodes in a transportation network. In earthquake-prone areas, seismic performance assessment of infrastructure is essential to identify, retrofit, reconstruct, or, if necessary, demolish the infrastructure systems based on optimal decision-making processes. As one of the crucial components of the transportation network, any bridge failure would impede the post-earthquake rescue operation. Not only the failure of such high-risk critical components during an extreme event can lead to significant direct damages, but it also affects the transportation road network. The consequences of these secondary effects can easily lead to congestion and long queues if the performance of the transportation system before or after an event was not analyzed. These indirect losses can be more prominent compared to the actual damage to bridges. Recent technological advancement in mobile sensors such as smartphones and Structural Health Monitoring (SHM) brought the opportunity to improve the accuracy of mathematical models by using experimental data and model calibration with field measurements. Engaging mobile SHM platforms with Intelligent Transportation System (ITS) and Geographical Information Systems (GIS), one can develop cost-effective and sustainable transportation infrastructure monitoring solutions targeting structural and transportation network resiliency. In line with this notion, this thesis study brings about seismic performance assessment for the Northern Cyprus transportation network from which the decision-making platform can be modeled and implemented based on the combination of SHM and ITS. This study employs a seismic hazard analysis based on generated USGS ShakeMap scenarios for the risk assessment of the transportation network. Furthermore, identification of the resiliency and vulnerability of transportation road network is carried out by utilizing the Graph Theory concept at the network level. Moreover, link performance measures, i.e., traffic modeling of the study region is simulated in a Dynamic Traffic Assignment (DTA) simulation environment. Finally, for earthquake loss analysis of the bridges, the Hazus loss estimation tool is used. The case study of this thesis is the Western part of Northern Cyprus, comprising 20 bridges with a transportation network that is consisting of 134 links and 94 nodes with a total length of about 174 km. The results of our investigations for three different earthquake scenarios have shown that seismic retrofitting of bridges is a cost-effective measure to reduce the structural and operational losses in the region.

Subject Keywords

Seismic Risk Assessment, Graph Theory, Shakemap, SHM, ITS, DTA

URI

https://hdl.handle.net/11511/69278

Collections

Northern Cyprus Campus, Thesis

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Citation Formats

A. Malekloo, “Intelligent transportation networks with mobile SHM support and bridge performance assessment,” M.S. - Master of Science, Middle East Technical University, 2020.