Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

Klerk, W.J.; Schweckendiek, T.; den Heijer, Frank; Kok, M.

doi:10.3390/infrastructures4030056

Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

Title

Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

Author

Klerk, W.J. (TU Delft Hydraulic Structures and Flood Risk; Deltares)
Schweckendiek, T. (TU Delft Hydraulic Structures and Flood Risk; Deltares)
den Heijer, Frank (Deltares; HAN University of Applied Sciences)
Kok, M. (TU Delft Hydraulic Structures and Flood Risk)

Date

2019

Abstract

One of the most rapidly emerging measures in infrastructure asset management is Structural Health Monitoring (SHM), which aims at reducing uncertainty in structural performance by using monitoring equipment. As earthen flood defence structures typically have large strength uncertainties, such techniques can be particularly promising. However, insight in the key characteristics for successful SHM for flood defences is lacking, which hampers the practical implementation. In this study, we explore the benefits of pore pressure monitoring, one of the most promising SHM techniques for earthen flood defences. The approach is based on a Bayesian pre-posterior analysis, and results are evaluated based on the Value of Information (VoI) obtained from different monitoring strategies. We specifically investigate the effect on long-term reinforcement decisions. The results show that, next to the relative magnitude of reducible uncertainty, the combination of the probability of having a useful observation and the duration of a SHM effort determine the VoI. As it is likely that increasing loads due to climate change will result in more frequent future reinforcements, the influence of scenarios of different rates of increase in future loads is also investigated. It was found that, in all considered possible scenarios, monitoring yields a positive Value of Information, hence it is an economically efficient measure for flood defence asset management both now and in the future.

Subject

Asset management
Bayesian decision model
Dike
Flood defences
Levee
Structural health monitoring
Value of information

To reference this document use:

http://resolver.tudelft.nl/uuid:863ad192-80ef-4302-ac58-8184ea2136d6

DOI

https://doi.org/10.3390/infrastructures4030056

ISSN

2412-3811

Source

Infrastructures, 4 (3)

Part of collection

Institutional Repository