基于耗散极值原理的渐进结构成长方法
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国家自然科学基金资助项目(51175347)


Evolutionary Structural Optimization Method Based on the Principle of Extremum Entranspy Dissipation
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    摘要:

    目前的传热通道设计普遍使用的是传统密度法,密度法有一个不被大家重视的问题就是伪密度问题.因为使用伪密度,每一个单元导热系数都不是真实存在的,当将这些单元筛选后,和真实值存在差异.针对此问题提出了基于火积耗散极值原理的渐进结构优化方法,通过比较分析,采用以生长为主退化为辅的策略,整体火积耗散在3个不同算例下比密度法筛选后的结果分别小了14%,24%,9%,即先生长后退化的双向渐进结构优化方法在真实情况下是一种比传统密度法更优秀的优化方法.

    Abstract:

    The variable density method has been mostly adopted in designing cooling channels.However,it still has some major drawbacks.The thermal conductivity of the material,in physical truth,should be a certain value.However,based on the variable density method,this value can vary between the upper and lower bounds (high and low thermal conductivity),hence needs to be manually adjusted.A bi-directional evolutionary structural optimization (BESO) method based on the principle of extremum entranspy dissipation was proposed to enhance the heat transfer efficiency.Three numerical examples were studied and the simulation results reveal that by the extremum entranspy dissipation method,it shows the overall entranspy dissipation is 14%,24%,and 9% less then that by the conventional variable density method.

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宋宇,丁晓红.基于耗散极值原理的渐进结构成长方法[J].上海理工大学学报,2017,39(4):334-339.

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  • 收稿日期:2017-02-16
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  • 在线发布日期: 2017-09-07