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Title:Framework for Consequence-based Management and Safety of Railroad Bridge Infrastructure Using Wireless Smart Sensors (WSS)
Author(s):Moreu, Fernando; Spencer, Billie F., Jr.
Subject(s):wireless sensors
bridge maintenance
railroad bridges
monitoring
fragility
assessment
decision making
live load testing
bridge networks
Abstract:To increase overall profitability, add capacity to rail operations, and comply with new federal regulations on bridge safety, North American railroads are exploring means to improve the management of their bridge networks. Current maintenance, repair, and replacement (MRR) decisions are informed by bridge inspections and ratings, which recommend observing the response of bridges under trains. However, an objective relationship between bridge responses, bridge service state condition, and the associated impact to railroad operations has yet to be established. If the consequences of MRR decisions could be better determined, then the railroads could more effectively allocate their limited resources. This paper develops an approach for consequence-based management of bridge networks, adopted from the field of seismic risk assessment, for making MRR decisions on a network-wide basis. The proposed framework employs fragility curves to relate service condition limit-states to bridge displacement traffic. The operational costs associated with these service conditions can be used to estimate the total costs of a given MRR policy. In this way, optimum MRR decisions can minimize the total network costs. Additionally, measured bridge data can be used to update periodically the fragilities. This framework provides a consistent approach for the prioritization of railroad bridge MRR decisions
Issue Date:2015-06
Publisher:Newmark Structural Engineering Laboratory. University of Illinois at Urbana-Champaign.
Series/Report:Newmark Structural Engineering Laboratory Report Series 041
Genre:Technical Report
Type:Text
Language:English
URI:http://hdl.handle.net/2142/78094
ISSN:1940-9826
Sponsor:Financial support for this research was provided in part the American Association of Railroads (AAR) Technology Scanning Program; the O. H. Ammann Research Fellowship of the Structural Engineering Institute (SEI) - American Society of Civil Engineers (ASCE); the Talentia Fellowship (Junta de Andalucía, Spain); the Structural Engineering Association of Illinois (SEAOI); the Illinois Graduate College Dissertation Travel Committee at the University of Illinois at Urbana-Champaign (UIUC); the Federal Railroad Administration (FRA); the Foreign Language and Area Studies (FLAS) Fellowships program (from the Department of Education of the United States); the Center for Global Studies and the Center for East Asian and Pacific Studies at the University of Illinois. In-kind funding was provided by the CN, BNSF, and NS railroads.
Rights Information:Copyright held by the authors. All rights reserved.
Date Available in IDEALS:2015-06-18


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