用扩展复变量法计算稳态不可压缩层流的二阶设计灵敏度

IF 1.5 Q3 MECHANICS
M. Hassanzadeh
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引用次数: 0

摘要

在本文中,使用扩展复变量法(ECVM)给出了一阶和二阶灵敏度分析的一般程序。在传统的复变量法中,灵敏度分析只使用虚步。然而,在ECVM中,同时使用实部和虚部来提高方法的效率。为了说明这一点,ECVM被应用于圆柱体周围的稳态不可压缩层流。采用有限元方法求解了控制Navier-Stokes方程,然后采用ECVM。通过与解析法和有限差分法的结果进行比较,验证了结果的有效性,并研究了收敛速度。结果表明,无论是传统的还是扩展的复变量方法,一阶灵敏度分析都不受步长变化的影响。然而,研究表明,与传统的复变量法不同,ECVM在计算二阶灵敏度时对步长的依赖性较小。这可以被认为是该方法效率的提高。因此,ECVM被建议作为一种适当的技术,用于以高精度和低计算成本同时计算一阶和二阶灵敏度。所提出的方法适用于具有简单或复杂参数的广泛问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of Second-order Design Sensitivities for Steady State Incompressible Laminar Flows Using the Extended Complex Variables Method
In the current paper, the general procedure of the first and second-order sensitivity analysis is presented using the extended complex variables method (ECVM). In the traditional complex variables method, only the imaginary step is used for sensitivity analysis. However, in the ECVM, both of the real and imaginary parts are employed to improve the efficiency of the method. To show this, the ECVM is applied to the steady state incompressible laminar flow around a cylinder. The governing Navier-Stokes equations are solved by the finite element method and then the ECVM is employed. The results are validated through comparing with those of obtained by an analytical as well as the finite difference methods and the convergence rate is investigated. It is illustrated that the first-order sensitivity analysis is not influenced by the change of the step length for both of the traditional and extended complex variables methods. However, it is shown that unlike the traditional complex variables method, the ECVM is less dependent on the step size for calculating the second-order sensitivity. This can be considered as an enhancement in the efficiency of this method. Hence, the ECVM is suggested as an appropriate technique for calculating simultaneously the first and second-order sensitivities with high accuracy as well as low computational cost. The proposed method is applicable to a wide range of problems having simple or complex parameters.
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来源期刊
CiteScore
1.70
自引率
8.30%
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