Project

Applied Bayesian pre-posterior and life-cycle cost analyses for determining and optimizing the value of structural health monitoring for concrete structures

Acronym
G013317N
Code
3G013317W
Duration
01 January 2017 → 31 December 2020
Funding
Research Foundation - Flanders (FWO)
Research disciplines
  • Engineering and technology
    • Building construction management and project planning
    • Structural engineering
    • Conservation-restoration techniques
    • Safety engineering not elsewhere classified
    • Life cycle engineering
Keywords
concrete
 
Project description

“How safe are our bridges?”Although a lot of research on structural safety has been performed during the last decades, answering this question for existing structures is still a challenging problem engineers are increasingly confronted with. This is mainly because a proper framework for assessing the safety of ageing or even deteriorated structures that can properly take into account the results from inspections and monitoring is still missing. Nevertheless, it is a very important and relevant issue as all of us make daily use of transportation infrastructure. “How can we optimize investments in inspection of bridge infrastructures over their lifetime?”As the resources for management of the bridge patrimony are limited, it is important to ensure that they are used in an optimal way. Hence, this research proposal will focus on (1) developing a framework that allows assessing existing concrete bridges by means of a Bayesian pre-posterior decision making tool that takes into account time-dependent behaviour and monitoring information and (2) determining and optimizing the value of monitoring over the lifetime of the structure. This enables an optimal allocation of the limited resources available for asset management