基于分子弛豫模型的混合气体多物理场二维重建算法

计算物理 ›› 2014, Vol. 31 ›› Issue (1): 67-74.

基于分子弛豫模型的混合气体多物理场二维重建算法

刘岩, 刘石, 雷兢, Schlaberg H I

华北电力大学新能源电力系统国家重点实验室, 北京 102206

收稿日期:2013-03-08 修回日期:2013-08-05 出版日期:2014-01-25 发布日期:2014-01-25
作者简介:刘岩(1987-),男,黑龙江绥滨,博士,从事声学法多物理量融合测量研究,E-mail:ly529274@126.com
基金资助:
国家自然科学基金重点项目(50736002,61072005);长江学者和创新团队发展计划项目(IRT0952)资助

An Algorithm for Multi-physics Field Reconstruction Based on Molecular Relaxation Model of Mixtures

LIU Yan, LIU Shi, LEI Jing, Schlaberg H I

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

Received:2013-03-08 Revised:2013-08-05 Online:2014-01-25 Published:2014-01-25

摘要/Abstract

摘要： 基于气体分子弛豫模型,研究声波传播的弛豫吸收与混合气体浓度及温度的关系,以CO-N₂-O₂混合气体为例,分别建立声速和声弛豫吸收同混合气体温度、浓度关系的三维模型.提出一种在二维空间中同时重建混合气体的温度场、浓度场和流场的算法,并对混合气体多物理场进行仿真重建.数值实验证明了算法的可靠性及实际应用的可行性,并可以将此算法应用到其它混合气体的测量,为混合气体的复杂多物理场测量提供了一种新的有效测量方法.

关键词: 弛豫声吸收, 多物理场重建, 浓度测量, 温度场测量, 流场测量

Abstract: We investigate relaxation absorption of ultrasound and speed of sound dependence on temperature and constituent concentration of gas mixture.Two three-dimensional models,one based on molecular relaxation model and the other on sound velocity, are established for a sample consisting of carbon monoxide, nitrogen and oxygen.An algorithm is developed to reconstruct simultaneously temperature field,concentration field and flow of the mixture in sensing domain.Numerical simulation shows that the algorithm is feasible and applicable to measurement of complicated multi-physics fields.Errors arising in simulation are discussed.It is possible to use the algorithm for other component mixtures.

Key words: relaxation absorption of acoustic, multi-physics field reconstruction, acoustic pyrometry, concentration measurement, flow field reconstruction

中图分类号:

TK31

刘岩, 刘石, 雷兢, Schlaberg H I. 基于分子弛豫模型的混合气体多物理场二维重建算法[J]. 计算物理, 2014, 31(1): 67-74.

LIU Yan, LIU Shi, LEI Jing, Schlaberg H I. An Algorithm for Multi-physics Field Reconstruction Based on Molecular Relaxation Model of Mixtures[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 31(1): 67-74.