船舶流体动力学优化的伴随体积法

IF 1.4 Q3 ENGINEERING, MARINE
J. Kröger, Niklas Kühl, T. Rung
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引用次数: 26

摘要

摘要本文研究海洋工程流中基于模拟的形状优化问题。重点讨论了两相流有限体积程序的伴随补的推导。该策略是对流体体积(VoF)方法的混合连续/离散伴随方法的扩展。该研究概述了根据流体性质变化产生的项来制定离散伴随VoF格式的方法。用直接微分技术的结果对伴随解进行了验证。该应用程序专门用于Kriso集装箱船的阻力优化。设计表面的基于核的自参数化方法与网格变形技术相结合,以驱动血管的150000个形状参数,而无需在优化期间重新访问或区分CAD环境。优化过程符合实际约束。优化后的船舶在保持主要尺寸和排水量的同时,总阻力减少了5%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adjoint volume-of-fluid approaches for the hydrodynamic optimisation of ships
ABSTRACT The paper is concerned with simulation-based shape optimisation in marine engineering flows. Attention is devoted to the derivation of an adjoint complement to two-phase flow finite-volume procedures. The strategy refers to an extension of a hybrid continuous/discrete adjoint method for volume-of-fluid (VoF) approaches. The study outlines means to formulate a discrete adjoint VoF scheme from the terms that originate from variations of the fluid properties. The adjoint solution is verified against results of a direct differentiation technique. The application is devoted to the drag optimisation of the Kriso container ship. A kernel-based self-parametrisation approach of the design surface is combined with mesh-morphing techniques to drive the 150,000 shape parameters of the vessel without the need to revisit or differentiate the CAD environment during the optimisation. The optimisation process obeys to practical constraints. The optimised vessel displays more than 5% reduction of total drag while maintaining main dimensions and displacement.
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来源期刊
Ship Technology Research
Ship Technology Research ENGINEERING, MARINE-
CiteScore
4.90
自引率
4.50%
发文量
10
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