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Personal computers & Commercial Engineering 54 (2008) 513–525 www.elsevier.com/locate/dsw

A built-in AHP–DEA method for bridge risk analysis q Ying-Ming Wang

a b

a, *

, Jun Liu w, Taha M. S. Elhag

c

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Institute of Soft Research, Fuzhou University, Fuzhou 350002, PR Chinese suppliers School of Computing and arithmetic, Faculty of Engineering, University of Ulster at Jordanstown, Shore Highway, Newtownabbey, Co. Antrim BT37 0QB, Northern Ireland, UK School of Mechanical, Aeronautical and Civil Engineering, The University of Manchester, L. O. Field 88, Stansted M60 1QD, UK Received 14 January 2006; received in modified form your five September 2007; accepted six September 3 years ago Available online 13 September 3 years ago

Abstract The traditional analytic hierarchy process (AHP) method can only compare a really limited quantity of decision alternatives, which is not often more than 12-15. When there are hundreds or thousands of alternatives to be compared, the pairwise evaluation manner provided by the traditional AHP is obviously infeasible. In this paper we recommend an integrated AHP–DEA methodology to evaluate bridge dangers of hundreds of connection structures, based on which the maintenance priorities from the bridge constructions can be made the decision. The proposed AHP–DEA method uses the AHP to look for the weights of criteria, linguistic terms including High, Method, Low and non-e to evaluate bridge hazards under every single criterion, the data envelopment research (DEA) approach to determine the values with the linguistic conditions, and the straightforward additive weighting (SAW) strategy to aggregate connection risks beneath different requirements into an overall risk rating for each connect structure. The integrated AHP–DEA methodology applies to any volume of decision alternatives and is illustrated with a numerical example. Ó 2007 Elsevier Ltd. All rights appropriated. Keywords: Link risk examination; Analytic structure process; Data envelopment examination; Maintenance goal

1 . Introduction Bridge risk assessment can often be conducted to look for the priority of bridge structures for routine service. For example , Adey, Hajdin, and Bruhwiler (2003) presented a risk-based approach to determining the optimal ¨ involvement for a connect subject to multiple hazards. Johnson and Niezgoda (2004) presented a risk-based method for ranking, comparing and choosing the most suitable bridge check countermeasures using the

This research was supported by the UK Anatomist and Physical Sciences Research Council (EPSRC) under the Scholarhip No . GR/ S66770/01 and in addition supported by the National Normal Science Foundation of China (NSFC) under the Grant No . 70771027. * Matching author. Tel.: +86 591 87893307; fernkopie: +86 591 87892545. E-mail address: [email protected] com (Y. -M. Wang). 0360-8352/$ -- see entrance matter Ó 2007 Elsevier Ltd. Every rights reserved. doi: 12. 1016/j. cie. 2007. 2009. 002

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risk priority numbers (PRNs) in failing modes and effects analysis (FMEA). Stein, Young, Trent, and Pearson (1999) produced a risk-based method for evaluating the risk connected with scour danger to connection foundations. The risk of scour failure was defined as the merchandise of the probability of keep an eye on failure or heavy damage and the expense associated with inability, adjusted by a risk adjustment factor based upon foundation type and form of span. Shetty, Chubb, Knowles, and Halden (1996) proposed a risk-based framework intended for assessment and prioritization of bridges needing remedial work, which involves risk evaluation, rankings of bridges in terms of risk, design of remedial action for each and every bridge, and optimal allocation of resources for remedial work on different connections. Risk is usually quantified because the product of probability of failure and consequences of failure. Lounis (2004) offered a risk-based approach intended for bridge protection optimization that takes into account a number of and possibly...

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