Introducing a Load Trend to the Reliability Analysis of Hydraulic Structures

Application of Bayesian Network-supported Reliability Analysis to predict future failure of Pumping Station IJmuiden

Master thesis (2018)

Authors

R. Huijmans Civil Engineering & Geosciences

Contributors

O. Morales-Nápoles Hydraulic Structures and Flood Risk - CEG (mentor)
R. Schoenmaker Integral Design & Management - CEG (mentor)
A. Willems (mentor)
A. R.M. Wolfert Materials and Environment - CEG (graduation committee member)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2018 Robin Huijmans
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Published Date

28-09-2018

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

This research describes a way to determine the reliability of coastal pump stations - from which their environment is influences by climate change – in time. Last decade, the challenge within the hydraulic infrastructure network shifted the focus from expanding the infrastructure inventory towards the maintenance and management of the existing network. The reason for this tendency is that the predominant part of the Dutch infrastructure inventory is approaching its end-of-life while their functions are still required. As a consequence, the asset owner is confronted with the challenge to choose the suitable maintenance action in order to extent the assets life-cycle.

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