Comprehensive computational analysis of the impact of regular head waves on ship bare hull performance
2023 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 288, article id 116049Article in journal (Refereed) Published
Abstract [en]
This paper focuses on investigating the impact of waves on ship hydrodynamic performance, enhancing our understanding of seakeeping characteristics and contributing to advanced ship and propeller design. It examines the resistance, motions, and nominal wake of the KVLCC2 bare hull, which is free to surge, heave, and pitch, in both calm water and regular head waves using a RANS approach. The research reveals a substantial dependency of the wake on grid resolution, particularly in calm water and shorter waves, while motions and resistance display a weaker dependency. The computed nominal wake is compared against towing tank SPIV measurements. Utilizing Fourier analyses and reconstructed time series, the study examines correlations among various factors influencing the bare hull’s performance in waves. The axial velocity component of the wake in waves demonstrates significant time variations, mainly driven by higher harmonic amplitudes. This dynamic wake is influenced by instantaneous propeller disk velocities due to hull motions, orbital wave velocities, boundary layer contraction/expansion, bilge vortex and shaft vortex dynamics. The wake distribution at the propeller plane not only differs significantly from the calm water wake in longer waves but also exhibits notably larger time-averaged values (up to 21%).
Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 288, article id 116049
Keywords [en]
Boundary layers; Fourier analysis; Hulls (ship); Propellers; Ship propulsion; Vehicle performance; Vortex flow; Wakes; Computational analysis; Grid convergence; Grid convergence study; Head waves; Nominal wakes; Performance; Regular head wave; Resistance; Ship hydrodynamics; Ship motion; computational fluid dynamics; hull; hydrodynamics; ship motion; vessel; wake; wave velocity; Fourier series
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-67910DOI: 10.1016/j.oceaneng.2023.116049Scopus ID: 2-s2.0-85175472270OAI: oai:DiVA.org:ri-67910DiVA, id: diva2:1814703
Note
This research is funded by The Swedish Transport Administration through Lighthouse (Swedish Maritime Competence Center). The simulations were performed on the resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at Chalmers Centre for Computational Science and Engineering (C3SE) and National Supercomputer Center at Linköping University (NSC) partially funded by the Swedish Research Council through grant agreements no. 2022-06725 and no. 2018-05973.
2023-11-272023-11-272023-12-04Bibliographically approved