Original Research ARTICLE
SEISMIC RETROFIT SCREENING OF EXISTING HIGHWAY BRIDGES WITH CONSIDERATION CHLORIDE-INDUCED DETERIORATION: A BAYESIAN BELIEF NETWORK MODEL
- 1University of British Columbia Okanagan, Canada
- 2University of Nantes, France
- 3National Research Council Canada (NRC-CNRC), Canada
Vulnerability of seismically deficient bridges, coupled with their ageing and deterioration, pose significant threat to safety, integrity and functionality of the highway network that could result in significant risks to public safety, traffic disruption, and socio-economic impacts. Given the limited funds available for bridge retrofit, there is a need for an effective management strategy that will enable engineers to identify and prioritise the high-risk bridges for detailed seismic evaluation and retrofit. A practical risk-based preliminary seismic screening technique is proposed in this paper that enables to develop a ranking or prioritization scheme for seismically-deficient bridges. The complex interactions between seismic hazard, bridge vulnerability and consequences of failure are handled in a hierarchical manner. A Bayesian belief network based modelling technique is used to aggregate through the hierarchy and generate risk indices by accounting for chloride-induced corrosion deterioration mechanisms. The efficacy of the proposed method is illustrated on two existing bridges that are assumed to be located in high seismic zones and designed under different standards concerning their structural safety under seismic loads and durability performance.
Keywords: Bayesian (Belief) networks, corrosion, Bridge screening, seismic, Decision Making
Received: 24 Aug 2018;
Accepted: 30 Oct 2018.
Edited by:Elias G. Dimitrakopoulos, Hong Kong University of Science and Technology, Hong Kong
Reviewed by:Mario D'Aniello, Università degli Studi di Napoli Federico II, Italy
David De Leon, Universidad Autónoma del Estado de México, Mexico
Copyright: © 2018 Tesfamariam, Bastidas-Arteaga and Lounis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Prof. Solomon Tesfamariam, University of British Columbia Okanagan, Kelowna, V1V 1V7, British Columbia, Canada, Solomon.Tesfamariam@ubc.ca