Properties and Capabilities of a Physical and Numerical Wave Tank

Abstract The idea of a numerical test tank is to have a computational fluid dynamics (CFD) setup, closely modeled after an existing wave tank. Such a pair of real and virtual test tank serves two main purposes: The experiments allow to validate the CFD model, and in turn the CFD model allows to study a variety of test parameters before the actual measurements take place. Consequently, this study has a two part objective: first to determine the properties and capabilities of an existing wave tank and second, to establish and validate a numerical wave tank model closely modeled after the real wave tank. For this goal, a systematic variation of experiments is conducted and the resulting measurement database will be used to map out the capabilities of the test tank. Furthermore, the analysis of the results will allow to determine tank specific properties, such as the influence of the wave maker and water depth on the wave form, or the effect of the tank walls and damping beach. Next, the tests are repeated with the numerical simulation, allowing to compare and tune the virtual tank model. Again, the expected outcome is twofold: The physical experiments provide the information to determine the shortcomings and provide best practice guidelines for the operation of the test tank and the analysis of the results. The numerical wave tank will provide a validated and efficient CFD model, that can be used to plan experiments and provide insight into fluid dynamic effects.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1115/omae2025-156468
Primary Topic
Spacecraft and Cryogenic Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Properties and Capabilities of a Physical and Numerical Wave Tank

Henry Piehl, Jesper van der Meij, Simon Empeyrou Arruhat
Spacecraft and Cryogenic Technologies
article

Properties and Capabilities of a Physical and Numerical Wave Tank

Henry Piehl, Jesper van der Meij, Simon Empeyrou Arruhat
article en

Abstract

Abstract The idea of a numerical test tank is to have a computational fluid dynamics (CFD) setup, closely modeled after an existing wave tank. Such a pair of real and virtual test tank serves two main purposes: The experiments allow to validate the CFD model, and in turn the CFD model allows to study a variety of test parameters before the actual measurements take place. Consequently, this study has a two part objective: first to determine the properties and capabilities of an existing wave tank and second, to establish and validate a numerical wave tank model closely modeled after the real wave tank. For this goal, a systematic variation of experiments is conducted and the resulting measurement database will be used to map out the capabilities of the test tank. Furthermore, the analysis of the results will allow to determine tank specific properties, such as the influence of the wave maker and water depth on the wave form, or the effect of the tank walls and damping beach. Next, the tests are repeated with the numerical simulation, allowing to compare and tune the virtual tank model. Again, the expected outcome is twofold: The physical experiments provide the information to determine the shortcomings and provide best practice guidelines for the operation of the test tank and the analysis of the results. The numerical wave tank will provide a validated and efficient CFD model, that can be used to plan experiments and provide insight into fluid dynamic effects.

Norwegian University of Science and Technology (NO)
Openalex Percentile: Top 70%
Spacecraft and Cryogenic Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.