Overtopping events may cause different failure modes depending on overtopped flow characteristics. Most of the studies about overtopping hazard analysis link the damages caused by the overtopping event to its mean overtopping discharge (q), which provides no information about overtopped flow characteristics or its spatial distribution. In this paper it is presented a non intrusive measurement system based on video imagery techniques and optical level sensors (OLS), which aim is to obtain overtopped highly aerated flows´ principal characteristics: velocity, volume, and density, in order to deep in the knowledge of this phenomenon, and minimizing the damages that it may cause to port´s infrastructures and exploitation
Overtopping has been widely studied (European project CLASH 2000-2010), and mean and maximum overtopping discharge values have already been proposed. However, fundamental variables for determining overtopping affections and risks, such as the shape and energy of the overtopped water mass and how it is distributed in the possible affected zones (vulnerable areas), are not yet defined.
This study focuses on getting deeper comprehension of the flow-structure interaction. Different overtopping types have been characterized and a first step in the extension of the parametric map proposed by Mc Conel (1998) by including an overtopping term has been done. Also, a new mean overtopping rate (qnew) has been proposed, taking into account just the total overtopping time instead of the total test’s duration (q). This new way of measuring the mean overtopping rate seems to permit a more realistic characterization of overtopping as it gives a clue of the individual volumes of each overtopping event, which is fundamental for a risk evaluation.
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