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Inverse estimation of various surface emissivity distributions using repulsive particle swarm optimization

机译:使用排斥粒子群优化算法反演各种表面发射率分布

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The aim of the present study is to demonstrate further inverse solving capability of the repulsive particle swarm optimization (RPSO) method by estimating unknown surface radiative property of various distributions in a surface radiation problem. A distribution of the surface emissivity was selected as the unknown property to retrieve and was defined as arbitrary functional forms to simulate various profiles in an axisymmetric cylindrical enclosure with nonparticipating media condition. A total of four functional forms were examined with uniform, rectangular step, triangular ramp and polynomial curve profiles. Also, the number of unknowns was increased to verify if the RPSO method could still retrieve property values exactly when compared with a previous study. In conclusion, the present results proved that the RPSO method showed accurate and robust performance as the inverse solver due to a superior search capability for the inverse surface radiation problem involving numerous unknown parameters of various distributions. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本研究的目的是通过估计表面辐射问题中各种分布的未知表面辐射特性,来证明排斥粒子群优化(RPSO)方法的进一步逆求解能力。选择表面发射率的分布作为要检索的未知属性,并将其定义为任意功能形式,以模拟轴对称圆柱壳体中具有非参与介质条件的各种轮廓。共检查了四种功能形式,它们具有均匀的矩形台阶,三角形斜坡和多项式曲线轮廓。另外,与以前的研究相比,未知数的数量增加了,以验证RPSO方法是否仍然可以准确地检索属性值。总之,目前的结果证明了RPSO方法作为逆求解器表现出准确而强大的性能,这是因为它具有出色的搜索能力,可以解决涉及多种分布未知参数的逆表面辐射问题。 (C)2018 Elsevier Ltd.保留所有权利。

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