Abstract

It is generally accepted that climate change is leading to increased frequency of extreme weather events worldwide, and this is placing heavier demands on an already aging infrastructure-network. Bridges are particularly vulnerable infrastructure assets that are prone to damage or failure from climate-related actions. In particular, bridges over waterways can be adversely affected by flooding, specifically the washing away of foundation soils, a mechanism known as scour erosion. Scour is the leading cause of failure for bridges with foundations in water as it can rapidly compromise foundation stiffness often resulting in unacceptable movements or even collapse. There is growing interest among asset managers in applying health monitoring approaches to assess the real-time performance of bridges under damaging actions, including scour. Sensor-based approaches involve the acquisition of data such as dynamic measurements, which can be used to infer the existence of scour or other damage without the laborious requirements of undertaking visual inspections. In this paper, a framework is proposed to assess the benefit obtained from health monitoring systems as compared to the scenario where no monitoring system is employed on a bridge, to ascertain how useful these systems are at assisting decision-making. Decisions typically relate to the implementation of traffic restrictions or even partial or complete bridge closure in the event of damage being detected, which has associated consequences for a network. A case study is presented to demonstrate the approach postulated in this paper.

Highlights

  • Extreme weather events are becoming more frequent as a result of climate-change and this is putting increasing pressure on built infrastructure

  • The basic variables of the decision problem include the damage states of the system induced by scour, the possible bridge management actions, and the consequences associated with the different combinations of damage states of the system and actions

  • Several equations are reported in the literature for the computation of local scour depth ys resulting from given flow and bridge geometrical conditions

Read more

Summary

Introduction

Extreme weather events are becoming more frequent as a result of climate-change and this is putting increasing pressure on built infrastructure. To improve on the drawbacks associated with visual-type inspections, a significant number of sensor-based systems have been developed in recent times to assist in remotely monitoring scour hole depth evolution. [13, 14] for a comprehensive discussion on these types of systems While these sensor-systems have varying success at monitoring scour hole depth evolution near a foundation of interest, they generally provide limited useful information on the structural condition as a result of scour hole formation. This is critical as the presence of a given scour hole may have limited or significant impact on the stability and safety of affected structures, and this will vary depending on factors such as foundation depth and type, as well as structural configuration.

General framework
Application to scoured bridges
Damage states
Prior probabilities
Consequences
Probabilities of failure
Likelihood functions
Flood hazard
Demonstration of the approach
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call