Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-making

Dan M. Frangopol, You Dong, Samantha Sabatino

Research output: Contribution to journalArticlepeer-review

264 Scopus citations

Abstract

The development of a generalised framework for assessing bridge life-cycle performance and cost, with emphasis on analysis, prediction, optimisation and decision-making under uncertainty, is briefly addressed. The central issue underlying the importance of the life-cycle approach to bridge engineering is the need for a rational basis for making informed decisions regarding design, construction, inspection, monitoring, maintenance, repair, rehabilitation, replacement and management of bridges under uncertainty which is carried out by using multi-objective optimisation procedures that balance conflicting criteria such as performance and cost. A number of significant developments are summarised, including time-variant reliability, risk, resilience, and sustainability of bridges, bridge transportation networks and interdependent infrastructure systems. Furthermore, the effects of climate change on the probabilistic life-cycle performance assessment of highway bridges are addressed. Moreover, integration of SHM and updating in bridge management and probabilistic life-cycle optimisation considering multi-attribute utility and risk attitudes are presented.

Original languageEnglish
Pages (from-to)1239-1257
Number of pages19
JournalStructure and Infrastructure Engineering
Volume13
Issue number10
DOIs
StatePublished - Oct 3 2017
Externally publishedYes

Funding

This work was supported by the National Science Foundation [grant number CMS-0639428] and [grant number CMMI-1537926]; the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA); the U.S. Federal Highway Administration Cooperative Agreement [grant number DTFH61–07-H-00040] and [grant number DTFH61–11-H-00027]; the U.S. Office of Naval Research [grant number N00014–08-1–0188], [grant number N00014–12-1–0023], and [grant number N00014–16-1–2299] (Structural Reliability Program). National Science Foundation, Pennsylvania Infrastructure Technology Alliance, U.S. Federal Highway Administration, and U.S. Office of Naval Research are gratefully acknowledged. The opinions and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.

Keywords

  • Life-cycle management
  • bridges
  • decision-making
  • resilience
  • risk
  • sustainability
  • utility

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