Browsing by Author "Tavakoli, Sasan"

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    A large-scale review of wave and tidal energy research over the last 20 years
    (Elsevier, 2023-06-12) Khojasteh, Danial; Shamsipour, Abbas; Huang, Luofeng; Tavakoli, Sasan; Haghani, Milad; Flocard, Francois; Farzadkhoo, Maryam; Iglesias, Gregorio; Hemer, Mark; Lewis, Matthew; Neill, Simon; Bernitsas, Michael M.; Glamore, William
    Over the last two decades, a large body of academic scholarship has been generated on wave and tidal energy related topics. It is therefore important to assess and analyse the research direction and development through horizon scanning processes. To synthesise such large-scale literature, this review adopts a bibliometric method and scrutinises over 8000 wave/tidal energy related documents published during 2003–2021. Overall, 98 countries contributed to the literature, with the top ten mainly developed countries plus China produced nearly two-thirds of the research. A thorough analysis on documents marked the emergence of four broad research themes (dominated by wave energy subjects): (A) resource assessment, site selection, and environmental impacts/benefits; (B) wave energy converters, hybrid systems, and hydrodynamic performance; (C) vibration energy harvesting and piezoelectric nanogenerators; and (D) flow dynamics, tidal turbines, and turbine design. Further, nineteen research sub-clusters, corresponding to broader themes, were identified, highlighting the trending research topics. An interesting observation was a recent shift in research focus from solely evaluating energy resources and ideal sites to integrating wave/tidal energy schemes into wider coastal/estuarine management plans by developing multicriteria decision-making frameworks and promoting novel designs and cost-sharing practices. The method and results presented may provide insights into the evolution of wave/tidal energy science and its multiple research topics, thus helping to inform future management decisions.
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    Offshore COVID-19 risk assessment based on a fishing vessel
    (Elsevier, 2023-07-20) Huang, Luofeng; Hetharia, Wolter R.; Grech La Rosa, Andrea; Tavakoli, Sasan; Khojasteh, Danial; Li, Minghao; Riyadi, Soegeng; Setyawan, Dony; Utama, I Ketut Aria Pria; Thomas, Giles
    Offshore crews often work near each other due to limited space, signifying a complex environment for the airborne transmission of the coronavirus (COVID-19). During offshore operations, a fishing vessel can be subjected to miscellaneous airflow conditions and will respond dynamically to ocean waves. To understand the risk of COVID-19 contagion, this research establishes a new computational model to analyse the airborne transmission of COVID-19 and develops effective mitigation strategies where possible. The concentration and coverage of coronavirus are scrutinised, considering typical airflows and wave-induced vessel motions. Furthermore, the COVID-19 infection risk is quantified using a probability index. The results show that the overall infection risk of a ship in tailwind is lower than in head or beam wind. Structural motions are for the first time coupled with the virus transmission, and it was found that the vessel's oscillating movement in waves can reinforce the virus concentration in close proximity to the infected person and may help diffuse the virus outside the proximal region. The presented findings can inform the airborne contagion risks and corresponding hygienic measures for maritime and offshore operations, facilitating long-term human health in seas.i
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    A review on the modelling of wave-structure interactions based on OpenFOAM
    (OpenCFD Ltd on behalf of the OpenFOAM Governance, 2022-08-28) Huang, Luofeng; Li, Yuzhu; Benites-Munoz, Daniela; Windt Windt, Christian; Feichtner, Anna; Tavakoli, Sasan; Davidson, Josh; Paredes, Ruben; Quintuna, Tadea; Ransley, Edward; Colombo, Marco; Li, Minghao; Cardiff, Philip; Tabor, Gavin
    The modelling of wave-structure interaction (WSI) has significant applications in understanding natural processes as well as securing the safety and efficiency of marine engineering. Based on the technique of Computational Fluid Dynamics (CFD) and the open-source simulation framework - OpenFOAM, this paper provides a state-of-the-art review of WSI modelling methods. The review categorises WSI scenarios and suggests their suitable computational approaches, concerning a rigid, deformable or porous structure in regular, irregular, non-breaking or breaking waves. Extensions of WSI modelling for wave-structure-seabed interactions and various wave energy converters are also introduced. As a result, the present review aims to help understand the CFD modelling of WSI and guide the use of OpenFOAM for target WSI problems.
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    Viscoelastic wave–ice interactions: a computational fluid–solid dynamic approach
    (Elsevier, 2022-09-01) Tavakoli, Sasan; Huang, Luofeng; Azhari, Fatemeh; Babanin, Alexander V.
    A computational fluid–solid dynamic model is employed to simulate the interaction between water waves and a consolidated ice cover. The model solves the Navier–Stokes equations for the ocean-wave flow around a solid body, and the solid behavior is formalized by the Maxwell viscoelastic model. Model predictions are compared against experimental flume tests of waves interacting with viscoelastic plates. The decay rate and wave dispersion predicted by the model are shown to be in good agreement with experimental results. Furthermore, the model is scaled, by simulating the wave interaction with an actual sea ice cover formed in the ocean. The scaled decay and dispersion results are found to be still valid in full scale. It is shown that the decay rate of waves in a viscoelastic cover is proportional to the quadratic of wave frequency in long waves, whilst biquadrate for short waves. The former is likely to be a viscoelastic effect, and the latter is likely to be related to the energy damping caused by the fluid motion. Overall, the modeling approach and results of the present paper are expected to provide new insights into wave–ice interactions and help researchers to dynamically simulate similar fluid–structure interactions with high fidelity.