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Open AccessArticle

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

1
Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628CN Delft, The Netherlands
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Deltares, Boussinesqweg 1, 2629HV Delft, The Netherlands
3
HAN University of Applied Sciences, Dept. of Sustainable River Management, Ruitenberglaan 26, 6826 CC Arnhem, The Netherlands
*
Author to whom correspondence should be addressed.
Infrastructures 2019, 4(3), 56; https://doi.org/10.3390/infrastructures4030056
Received: 10 July 2019 / Revised: 26 August 2019 / Accepted: 27 August 2019 / Published: 30 August 2019
(This article belongs to the Special Issue Water Infrastructure Asset Management)
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. View Full-Text
Keywords: asset management; flood defences; levee; dike; structural health monitoring; Bayesian decision model; value of information asset management; flood defences; levee; dike; structural health monitoring; Bayesian decision model; value of information
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MDPI and ACS Style

Klerk, W.J.; Schweckendiek, T.; den Heijer, F.; Kok, M. Value of Information of Structural Health Monitoring in Asset Management of Flood Defences. Infrastructures 2019, 4, 56.

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