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人工环境固体壁面对流热量的逆向建模
引用本文:雷 蕾,王 宁,陈 威,薛 雨.人工环境固体壁面对流热量的逆向建模[J].科学技术与工程,2019,19(14):329-335.
作者姓名:雷 蕾  王 宁  陈 威  薛 雨
作者单位:桂林电子科技大学建筑与交通工程学院,桂林,541004;大连理工大学土木工程学院,大连,116024
基金项目:国家自然科学基金青年基金(51708146)、广西自然科学基金(2017GXNSFBA198148)
摘    要:针对逆向确定人工环境固体壁面对流热量所面临的难题,实现固体壁面对流热量的准确量化。基于温度贡献因子方法,采用优化法与正则化方法相结合的策略,降低优化过程所需的计算量及计算时间,建立根据人工环境内温度测量信息逆向确定固体壁面对流热量的数学模型。将逆模型应用于人工环境中某建筑的一间办公室内,逆模型计算值与实测值之间的均方根误差为0. 73 W。结果表明该逆模型可以准确有效地确定人工环境固体壁面对流热量。

关 键 词:逆向建模  对流热量  温度贡献因子  正则化方法  计算流体力学
收稿时间:2018/12/2 0:00:00
修稿时间:2018/12/2 0:00:00

An inverse modelling to determine the solid wall boundary convective heat fluxes in artificial environments
LEI Lei,and.An inverse modelling to determine the solid wall boundary convective heat fluxes in artificial environments[J].Science Technology and Engineering,2019,19(14):329-335.
Authors:LEI Lei  and
Institution:School of Architecture and Transportation Engineering, Gui Lin University of Electronic Technology,,,
Abstract:In terms of the difficulties to inversely determine the solid wall boundary convective heat fluxes in artificial environments, accurately quantify the wall boundary convective heat fluxes. This study presents an inverse method based on the contribution ratio of indoor climate method to determine the solid wall boundary convective heat fluxes according to temperature measurement information in artificial environments. The Tikhonov regularization strategy coupled with the least-squares optimization was proposed in order to reduce the computational cost and computing time. The convective heat fluxes on solid walls in an office in a building were inversely solved using inverse model. The RMS errors of the model were 0.73W. The results showed that the developed inverse method can accurately and efficiently determine the solid wall convective heat fluxes in artificial environments.
Keywords:inverse modeling  convective heat flux  CRI  regularization method  CFD
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