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
R. Huijmans (TU Delft - Civil Engineering & Geosciences)
O Morales Napoles – Mentor (TU Delft - Hydraulic Structures and Flood Risk)
Rob Schoenmaker – Mentor (TU Delft - Integral Design & Management)
A. Willems – Mentor
A. R. M. (Rogier) Wolfert – Graduation committee member (TU Delft - Materials and Environment)
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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.