拘束模回转试验的CFD最优设置提取与多子样验证

Extraction and validation of CFD best practice by multiple sample data on rotating arm tests

船舶水动力学领域中,数值水池虚拟试验结果的可信度是制约其应用与发展的关键因素之一。在传统不确定度分析方法的基础上,一种以“大子样验证”为特征的多重验证方法尝试为CFD模拟置信度研究提供一种新的思路,其初步实践中针对船模阻力这类流动相对简单的问题进行了多达332个样本点的验证分析。本文针对操纵性拘束模试验中开展的相对较少的旋臂回转试验,以8条CSSRC系列集装箱船的物理试验数据为基础展开相关验证研究,获得了较为满意的结果,进一步证实了“大子样验证”思路在流动复杂、子样较少情况下的有效性。

User’s confidence in computational results is one of the crucial issues in CFD application.On the basis of the traditional CFD uncertainty analysis method,a multiple validation based methodology characterized by‘big sample data verification’tries to provide a new idea for CFD’s confidence level assessment research,and as many as 332 sample points were used for a relatively simple problem like ship model resistance.However,the applicability of the new method is still in doubt for the problems of complex flow and fewer sample data.To answer the question,numerical simulation studies on rotating arm tests of a container series were carried out.Relatively fine results obtained show that the new method may be also effective for solving the problems of complex flow and fewer sample data.