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

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.
Funding Information
  • National Science Foundation (CMS-0639428, CMMI-1537926)
  • Pennsylvania Infrastructure Technology Alliance (PITA)
  • U.S. Federal Highway Administration Cooperative Agreement (DTFH61–07-H-00040, DTFH61–11-H-00027)
  • U.S. Office of Naval Research (N00014–08-1–0188, N00014–12-1–0023, N00014–16-1–2299)