Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver
In this study, the hull form optimization process to minimize resistance of KCS (KRISO containership) at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>n</mi><mo&g...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/5/2428 |
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| author | Sung-Woo Park Seung-Hyeon Kim Yang-Ik Kim Inwon Lee |
| author_facet | Sung-Woo Park Seung-Hyeon Kim Yang-Ik Kim Inwon Lee |
| author_sort | Sung-Woo Park |
| collection | DOAJ |
| description | In this study, the hull form optimization process to minimize resistance of KCS (KRISO containership) at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>n</mi><mo>=</mo><mn>0.26</mn></mrow></semantics></math></inline-formula> is described. The bow hull form of KCS was modified by varying such design parameters as sectional area curve (SAC), section shape, bulb breadth, and bulb height using multiple parametric modification curves devised by the authors. The resistance performances of modified hull forms were analysed by the viscous flow Reynolds-Averaged Navier–Stokes (RANS) solver of WAVIS ver.2.2. With a view to saving computational time during iterative analyses in the optimization process, the sinkage and trim were set to the fixed values which had been obtained for the original hull form with free condition. The validity of such constant sinkage/trim was then verified by conducting analysis for the optimal hull form with free condition. Optimization to minimize the cost function of the total resistance coefficient of model <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><mi>T</mi><mi>M</mi></mrow></msub></mrow></semantics></math></inline-formula> was performed by sequential quadratic programming (SQP), which is one of the gradient-based local optimization methods. Utilization of parallel computing led to the simultaneous calculation of the gradient, thereby speeding up the whole optimization process. At the design speed of 24 knots, the optimal hull yielded <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><mi>T</mi><mi>M</mi></mrow></msub></mrow></semantics></math></inline-formula> reduction by 1.8%, which is extrapolated to 3.1% reduction of effective power <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>P</mi><mi>E</mi></msub></mrow></semantics></math></inline-formula> in full scale. |
| first_indexed | 2024-03-09T20:48:35Z |
| format | Article |
| id | doaj.art-5c4a19bb94234eeebc4cbf7f8807ea21 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T20:48:35Z |
| publishDate | 2022-02-01 |
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| spelling | doaj.art-5c4a19bb94234eeebc4cbf7f8807ea212023-11-23T22:40:37ZengMDPI AGApplied Sciences2076-34172022-02-01125242810.3390/app12052428Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) SolverSung-Woo Park0Seung-Hyeon Kim1Yang-Ik Kim2Inwon Lee3Department of Naval Architecture & Ocean Engineering, Pusan National University, Busan 46241, KoreaCADAS Co., Ltd., Changwon 51139, KoreaCADAS Co., Ltd., Changwon 51139, KoreaDepartment of Naval Architecture & Ocean Engineering, Pusan National University, Busan 46241, KoreaIn this study, the hull form optimization process to minimize resistance of KCS (KRISO containership) at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>n</mi><mo>=</mo><mn>0.26</mn></mrow></semantics></math></inline-formula> is described. The bow hull form of KCS was modified by varying such design parameters as sectional area curve (SAC), section shape, bulb breadth, and bulb height using multiple parametric modification curves devised by the authors. The resistance performances of modified hull forms were analysed by the viscous flow Reynolds-Averaged Navier–Stokes (RANS) solver of WAVIS ver.2.2. With a view to saving computational time during iterative analyses in the optimization process, the sinkage and trim were set to the fixed values which had been obtained for the original hull form with free condition. The validity of such constant sinkage/trim was then verified by conducting analysis for the optimal hull form with free condition. Optimization to minimize the cost function of the total resistance coefficient of model <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><mi>T</mi><mi>M</mi></mrow></msub></mrow></semantics></math></inline-formula> was performed by sequential quadratic programming (SQP), which is one of the gradient-based local optimization methods. Utilization of parallel computing led to the simultaneous calculation of the gradient, thereby speeding up the whole optimization process. At the design speed of 24 knots, the optimal hull yielded <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><mi>T</mi><mi>M</mi></mrow></msub></mrow></semantics></math></inline-formula> reduction by 1.8%, which is extrapolated to 3.1% reduction of effective power <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>P</mi><mi>E</mi></msub></mrow></semantics></math></inline-formula> in full scale.https://www.mdpi.com/2076-3417/12/5/2428hull form optimizationparametric modification functionsequential quadratic programmingsimulation-based designKRISO containership (KCS) |
| spellingShingle | Sung-Woo Park Seung-Hyeon Kim Yang-Ik Kim Inwon Lee Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver Applied Sciences hull form optimization parametric modification function sequential quadratic programming simulation-based design KRISO containership (KCS) |
| title | Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver |
| title_full | Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver |
| title_fullStr | Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver |
| title_full_unstemmed | Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver |
| title_short | Hull Form Optimization Study Based on Multiple Parametric Modification Curves and Free Surface Reynolds-Averaged Navier–Stokes (RANS) Solver |
| title_sort | hull form optimization study based on multiple parametric modification curves and free surface reynolds averaged navier stokes rans solver |
| topic | hull form optimization parametric modification function sequential quadratic programming simulation-based design KRISO containership (KCS) |
| url | https://www.mdpi.com/2076-3417/12/5/2428 |
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