For designing new floating platforms, the model tests in wave tank are carried out to investigate hydrodynamic properties and other parameters during design process. However, even though these experiments are able to help researchers with understanding the physical meaning directly, it has naturally made it to spend lots of time including from manufacturing test model to using the test facilities.The motions and flow characteristics of a floating hull are closely associated with nonlinearity of incident, reflected and scattered waves, which have undoubtedly made hydrodynamic problems complicated and challenging. The waves around a structure can be amplified by their interaction with the structure and wave to wave interactions, which lead to even higher and steeper wave crests.In the present study, through comparisons, the main purposes are to understand physical mechanisms of wave run-up phenomenon with relevant parameters. The numerical simulations were performed using the Volume of Fluid (VOF) method in Computational Fluid Dynamics (CFD) using the commercial software Star-CCM+. In order to validate this work's CFD results, existing experimental data from the open literature were investigated.The simulated wave run up results of a rigidly fixed semi-submersible geometry were compared against published experiment data, with SESAM program. The influence of higher-order wave components could be investigated by directly comparing both results. Also, for the quick calculations, wave run-ups with different hull displacements were used to derive a simplified estimation formula using wave parameter and column diameter.Lastly, the survival draft conditions were added to compare with existing operational draft condition. In general, it was found that low draft and high frequency were the main factors influencing the results, particularly in the aft column. In conclusion, this work's CFD results are in reasonably good agreement with experiments and therefore the CFD technique can provide useful guidance for designing platforms in this field.
|Date of Award||1 Jun 2018|
- University Of Strathclyde
|Supervisor||Atilla Incecik (Supervisor) & Qing Xiao (Supervisor)|