A fluid–structure interaction model for assessing the safety of flood gate vibrations due to wave impacts

Journal Article (2021)
Author(s)

O. C. Tieleman (TU Delft - Hydraulic Structures and Flood Risk)

Bas Hofland (TU Delft - Hydraulic Structures and Flood Risk)

A. Tsouvalas (TU Delft - Dynamics of Structures, TU Delft - Offshore Engineering)

Ermano de Almeida (TU Delft - Hydraulic Structures and Flood Risk)

Sebastiaan N. Jonkman (TU Delft - Hydraulic Structures and Flood Risk)

Research Group
Hydraulic Structures and Flood Risk
Copyright
© 2021 Orson Tieleman, Bas Hofland, A. Tsouvalas, E. de Almeida Sousa, Sebastiaan N. Jonkman
DOI related publication
https://doi.org/10.1016/j.coastaleng.2021.104007
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Orson Tieleman, Bas Hofland, A. Tsouvalas, E. de Almeida Sousa, Sebastiaan N. Jonkman
Research Group
Hydraulic Structures and Flood Risk
Volume number
170
Pages (from-to)
1-17
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Abstract

This paper establishes a computationally efficient model to predict flood gate vibrations due to wave impacts including fluid–structure interaction. In contrast to earlier models, composite fluid domains are included to represent the situation of a flood gate in a dewatering sluice with the presence of an overhang that causes the confined-wave impacts. The dynamic response of the gate-fluid system is derived in the frequency domain using a substructuring mode matching technique, in which the gate vibrations are first expressed in terms of in-vacuo modes while the liquid motion is described as a superposition of linear potentials. Pressure impulse theory is employed to predict the impulsive wave impact loads, which are superposed on the quasi-steady wave loads. The computational efficiency of the developed model allows for a large number of simulations. This makes it possible for the first time to perform probabilistic evaluations for this type of problems without doing concessions on the accuracy of the physical modelling of the involved fluid–structure interaction processes. This is demonstrated by application of the developed models within a probabilistic framework resulting in the explicit quantification of the failure probability of flood gates subjected to wave impacts.