基于遗传算法的热防护服厚度反问题的数值分析
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  • 英文篇名:Numerical Analysis on Inverse Problem of Thermal Protective Clothing’s Thickness Based on Genetic Algorithm
  • 作者:白羽 ; 刘思铨 ; 李文豪 ; 周泽曦 ; 李飞
  • 英文作者:BAI Yu;LIU Siquan;LI Wenhao;ZHOU Zexi;LI Fei;School of Science, Beijing University of Civil Engineering and Architecture;Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation,Beijing University of Civil Engineering and Architecture;School of Civil and Traffic Engineering, Beijing University of Civil Engineering and Architecture;School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture;
  • 关键词:热防护服 ; 反问题 ; 有限差分法 ; 遗传算法
  • 英文关键词:thermal protective clothing;;inverse problem;;finite difference method;;genetic algorithm
  • 中文刊名:BJJZ
  • 英文刊名:Journal of Beijing University of Civil Engineering and Architecture
  • 机构:北京建筑大学理学院;北京建筑大学建筑结构与环境修复功能材料北京市重点实验室;北京建筑大学土木与交通工程学院;北京建筑大学电器与信息工程学院;
  • 出版日期:2019-06-30
  • 出版单位:北京建筑大学学报
  • 年:2019
  • 期:v.35;No.117
  • 基金:国家自然科学基金项目(51608028);; “十三五”重点研发计划项目(2016YFC0700601)
  • 语种:中文;
  • 页:BJJZ201902010
  • 页数:6
  • CN:02
  • ISSN:10-1250/TU
  • 分类号:72-77
摘要
合理地设计热防护服厚度可以降低烧伤危险、提高舒适性,是热防护服研发的重要问题.除防护服常用的三层织物外,将皮肤与第三层织物之间的空隙层看作第四层,将人体皮肤层到体内作为第五层,基于Fourier定律建立了一维有限长五层热传导模型.然后根据人体皮肤表面的温度要求提出了热防护服厚度反问题,并随着不同的要求做相应调整.一方面,利用有限差分法实现了模型的数值求解;另一方面,基于遗传算法求解反问题,确定了第五层的各项热学参数,同时求出满足要求的热防护服最优厚度,结果验证了算法的有效性和反问题的合理性.
        Reasonable design of thermal protective clothing's thickness can reduce the risk of burns and increase the comfortability, which can provide a scientific reference for the research of thermal protective clothing. In addition to the three-layer fabric commonly used in protective clothing, the void layer between the skin and the third layer fabric is regarded as the fourth layer, and the human skin layer into the body as the fifth layer. Based on Fourier law, a one-dimensional five-layer heat conduction model is established firstly. Then the inverse problem of thermal protective clothing's thickness is proposed and the corresponding adjustment is made according to the temperature requirements of human skin surface. On the one hand, the numerical solutions of the model are obtained by the finite difference method. On the other hand, the genetic algorithm is applied to solve the inverse problem, which can determine the thermal parameters of the fifth layer and the optimal thickness of thermal protective clothing to satisfy the requirements. Meanwhile the validity of the algorithm and the rationality of the inverse problem are verified.
引文
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