Original scientific paper
https://doi.org/10.21278/brod73406
UNCERTAINTY QUANTIFICATION OF SELF-PROPULSION ANALYSES WITH RANS-CFD AND COMPARISON WITH FULL-SCALE SHIP TRIALS
Ahmet Ziya Saydam
orcid.org/0000-0002-1266-9401
; Piri Reis University, Turkey
Gözde Nur Küçüksu
orcid.org/0000-0002-5003-3359
; Hidroteknik Nautical Design Technologies Ltd., Turkey
Mustafa İnsel
; Hidroteknik Nautical Design Technologies Ltd., Turkey
Serhan Gökçay
; Hidroteknik Nautical Design Technologies Ltd., Turkey
Abstract
RANS-CFD is a well-established tool with widespread use in maritime industry and research. Valuable information might be extracted from the results of such simulations in terms of ship resistance and flow field variables. With recent advancements in computational power, it became possible to investigate the performance of ships in self-propulsion conditions with RANS method. This paper presents the results of a study in which self-propulsion analyses of a small size product/oil tanker has been carried out at ship scale. The methodology proposed in this study makes use of open water propeller performance predictions, resistance analyses at model scale and self-propulsion computations at ship scale for a minimum of 2 different propeller loadings to obtain the self-propulsion point and respective performance parameters. In order to speed up the time-consuming self-propulsion computations, these cases have been solved with a single-phase approach. Resistance predictions have been compared with experimental findings. Uncertainty associated with prediction of resistance and thrust has been quantified. Additionally, sea trials have been conducted on the subject vessel and its two sisters and measured delivered power data have been used for evaluating the capability of the numerical method in self-propulsion predictions. Comparison of results indicate that the proposed self-propulsion computation methodology with RANS CFD at ship scale is capable of predicting delivered power with sufficient accuracy at an acceptable computational cost.
Keywords
CFD; RANS; full-scale; uncertainty; self-propulsion
Hrčak ID:
285546
URI
Publication date:
16.9.2022.
Visits: 723 *