VENTuRE attends the 9th Conference on Computational Methods in Marine Engineering (MARINE 2021)

The VENTuRE team members from the University of Strathclyde, Dr Momchil Terziev, Dr Tahsin Tezdogan, Dr Yigit Demirel, Dr Soonseok Song, and Dr Andrea Coraddu, the University of Genoa, Prof. Massimo Figari, Dr Giorgio Tani, and Dr Diego Villa, and University of Malta, Prof. Claire De Marco, attended MARINE 2021 – 9th Conference on Computational Methods in Marine Engineering – held via a virtual conference from the 2nd to 4th June 2021. The conference covered various engineering topics related to ship and maritime research, including:

  • Ship hydrodynamics
  • Structural analysis of marine structures
  • Offshore structures
  • Sea-pipe mechanics
  • Advances in mechanical methods for marine engineering (new finite element, finite difference,
    finite volume and boundary element methods, particle methods, meshless methods, etc.)
  • Computational environmental mechanics in marine problems
  • Algorithms for solving multidisciplinary problems in marine engineering
  • Marine engineering applications

Dr Momchil Terziev presented their paper entitled “Investigating the Influence of Sheared Currents on Ship Hydrodynamics in Confined Water Using Computational Fluid Dynamics”. Abstract: “The field of ship hydrodynamics in confined water has received increased attention by the academic community in recent years. Nevertheless, a number of phenomena occurring in confined waters are yet to be examined using high fidelity Computational Fluid Dynamics (CFD) or experimentally. One particular case is the presence of sheared currents and their impact on the performance of a ship. Such currents can be generated in confined waters as a result of the natural flow of water in rivers or due to the action of tidal influences in long canals. Alternatively, due to the short fetch of many inland waterways, the action of wind may result in the production of a sheared current. This work aims to investigate these effects by making use of a commercially available Reynolds Averaged Navier-Stokes (RANS) solver. A number of current profiles are numerically modelled to determine their influence on ship performance and the manner in which ship waves interact with the background current. The present study will contribute to the understanding of restricted water effects by revealing the impact of shear currents on ship performance.”

Dr Miltiadis Kalikatzarakis submitted the paper entitled “Computational Prediction of Propeller Cavitation Noise”. Abstract: “The potential impact of ships underwater radiated noise (URN) on marine fauna has become an important issue. The most dominant noise source on a propeller-driven vessel is propeller cavitation, and the accurate prediction of its noise signature is fundamental for the design process. In this work, we investigate the potential of using low-computational-cost methods for the prediction of URN from cavitating marine propellers that can be conveniently implemented within the design process. We compare computational and experimental results on a subset of the Meridian standard propeller series, behind different severities of axial wake, for a total of 432 experiments.”

Mr Hamid Kazemi Moghadam presented the paper entitled “A fast-computational framework to design optimal, robust stepped planing hulls”. Abstract: “The quest for speed at sea has been one of the major drivers of the design of planing hulls over the past decades. Unlike displacement hulls, the physics involved in the dynamics of planing hulls poses some issues that has only recently been addressed by using CFD techniques. This has contributed to the spread of the use of semi-empirical formulations to tackle the performance prediction of such a kind of vessels. We present a Robust Design by Optimization (RDO) under uncertainties approach suitable for the design of a stepped planing hull for high-speed applications. The calm water resistance and dynamic attitude of the stepped planing hull is predicted by an ad-hoc developed method relying on a combination of different formulations. In particular, compared to similar methods proposed in literature, the modified approach make also use of the pressure distribution computed over the wet hull bottom surface, hence providing more information on the relevant characteristics of the hull. The optimization is driven by a population-based evolutionary algorithm and the obtained results are verified by high-fidelity, viscous, RANS computations carried out by using the openFOAM libraries. The very little computational effort required by the hydrodynamic solver used in the optimization allows for the inclusion of the uncertainties in the loop, then making the optimal solution robust with respect to variations of the boundary conditions to the problem.”