Simulation of Steady State Heat Conduction Using an Hybrid Floating Walk and Markov Chain Technique

A. Dare
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引用次数: 1

Abstract

Markov chain technique had been developed for numerical simulation of steady state heat conduction. However the technique could only be used to handle domain with regular boundaries. An hybrid of floating walk and Markov chain techniques has therefore been developed. The technique was used to simulate temperature distribution in rectangular and two arbitrary shaped domains with mixed boundary conditions. The results obtained were compared with that obtained using finite difference and as well as using floating walk technique. Results were statistically analysed using ANOVA ( α =0.05) and the computer execution for all the three cases considered compared. The results from the developed hybrid technique were not significantly different from those from finite difference and floating walk techniques. The hybrid technique execution time was longer than that of finite difference technique but shorter than the floating walk technique. The study established the suitably of the hybrid floating walk markov chain technique for analysis of steady state heat conduction of arbitrary shaped domain.
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用浮动游动和马尔可夫链混合技术模拟稳态热传导
马尔可夫链技术已被发展用于稳态热传导的数值模拟。然而,该技术只能用于处理具有规则边界的域。因此,浮动行走和马尔可夫链技术的混合已经被开发出来。该技术被用于模拟具有混合边界条件的矩形和两个任意形状区域的温度分布。将所获得的结果与使用有限差分和浮动行走技术获得的结果进行了比较。使用ANOVA(α=0.05)对结果进行统计分析,并对所有三种情况的计算机执行情况进行比较。所开发的混合技术的结果与有限差分和浮动行走技术的结果没有显著差异。混合技术的执行时间比有限差分技术长,但比浮动行走技术短。本研究建立了适用于任意形状区域稳态热传导分析的混合浮走马尔可夫链技术。
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