Bao-Hai Gao , Jian Xiao , Ming-Jian He , Ya-Tao Ren , Jun-Yan Liu , Hong Qi
{"title":"基于FSCK和NCMCM的非均匀非灰色介质辐射传热模拟","authors":"Bao-Hai Gao , Jian Xiao , Ming-Jian He , Ya-Tao Ren , Jun-Yan Liu , Hong Qi","doi":"10.1016/j.jqsrt.2025.109651","DOIUrl":null,"url":null,"abstract":"<div><div>The radiative heat transfer in high-temperature combustion systems is often non-negligible but challenging to simulate due to the complexity of solving the radiative transfer equation and the strong spectral selectivity and inhomogeneity. To overcome the above problems, a solution based on full-spectrum correlated k-distribution method (FSCK) and null-collision Monte Carlo method (NCMCM) is proposed in this paper. Compared to traditional photon Monte Carlo methods (PMCM), NCMCM can significantly reduce the tracking time in non-uniform media without affecting statistical results by introducing a null-collision event. By establishing the correlated assumption and using high-precision Gaussian quadrature scheme or random artificial spectral <em>g</em>-sampling method, FSCK can greatly reduce the number of solutions for the radiative transfer equation in non-uniform non-gray gases without losing spectral accuracy. The combination of FSCK and NCMCM can easily simulate radiative heat transfer in a non-uniform and non-grey media by merely introducing a non-gray stretching factor into the recorded blackbody radiation intensity. The computational accuracy and efficiency of two combination methods, FSCK/NCMCM and FSCK/PMCM, are evaluated through several typical cases. The results demonstrate that both FSCK/NCMCM with fixed artificial spectral <em>g</em><sub>0</sub> sampling and FSCK/PMCM with random artificial spectral <em>g</em><sub>0</sub> sampling achieve accuracy comparable to the benchmark method of LBL/NCMCM. FSCK/NCMCM exhibits stronger result stability for tracking more photon bundles per target element, while requiring only approximately half the computational time of FSCK/PMCM. Simultaneously, FSCK/NCMCM eliminates the process of pre-establishing and loading a <em>R</em>-<em>g</em><sub>0</sub> database, thereby providing the advantage of lower memory overhead. Furthermore, when NCMCM and PMCM adopt identical random <em>g</em> sampling, the computational efficiency of FSCK/NCMCM proves to be several times higher than that of FSCK/PMCM.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"347 ","pages":"Article 109651"},"PeriodicalIF":1.9000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radiative heat transfer simulation of inhomogeneous and non-gray medium based on FSCK and NCMCM\",\"authors\":\"Bao-Hai Gao , Jian Xiao , Ming-Jian He , Ya-Tao Ren , Jun-Yan Liu , Hong Qi\",\"doi\":\"10.1016/j.jqsrt.2025.109651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The radiative heat transfer in high-temperature combustion systems is often non-negligible but challenging to simulate due to the complexity of solving the radiative transfer equation and the strong spectral selectivity and inhomogeneity. To overcome the above problems, a solution based on full-spectrum correlated k-distribution method (FSCK) and null-collision Monte Carlo method (NCMCM) is proposed in this paper. Compared to traditional photon Monte Carlo methods (PMCM), NCMCM can significantly reduce the tracking time in non-uniform media without affecting statistical results by introducing a null-collision event. By establishing the correlated assumption and using high-precision Gaussian quadrature scheme or random artificial spectral <em>g</em>-sampling method, FSCK can greatly reduce the number of solutions for the radiative transfer equation in non-uniform non-gray gases without losing spectral accuracy. The combination of FSCK and NCMCM can easily simulate radiative heat transfer in a non-uniform and non-grey media by merely introducing a non-gray stretching factor into the recorded blackbody radiation intensity. The computational accuracy and efficiency of two combination methods, FSCK/NCMCM and FSCK/PMCM, are evaluated through several typical cases. The results demonstrate that both FSCK/NCMCM with fixed artificial spectral <em>g</em><sub>0</sub> sampling and FSCK/PMCM with random artificial spectral <em>g</em><sub>0</sub> sampling achieve accuracy comparable to the benchmark method of LBL/NCMCM. FSCK/NCMCM exhibits stronger result stability for tracking more photon bundles per target element, while requiring only approximately half the computational time of FSCK/PMCM. Simultaneously, FSCK/NCMCM eliminates the process of pre-establishing and loading a <em>R</em>-<em>g</em><sub>0</sub> database, thereby providing the advantage of lower memory overhead. Furthermore, when NCMCM and PMCM adopt identical random <em>g</em> sampling, the computational efficiency of FSCK/NCMCM proves to be several times higher than that of FSCK/PMCM.</div></div>\",\"PeriodicalId\":16935,\"journal\":{\"name\":\"Journal of Quantitative Spectroscopy & Radiative Transfer\",\"volume\":\"347 \",\"pages\":\"Article 109651\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quantitative Spectroscopy & Radiative Transfer\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022407325003139\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Spectroscopy & Radiative Transfer","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022407325003139","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
Radiative heat transfer simulation of inhomogeneous and non-gray medium based on FSCK and NCMCM
The radiative heat transfer in high-temperature combustion systems is often non-negligible but challenging to simulate due to the complexity of solving the radiative transfer equation and the strong spectral selectivity and inhomogeneity. To overcome the above problems, a solution based on full-spectrum correlated k-distribution method (FSCK) and null-collision Monte Carlo method (NCMCM) is proposed in this paper. Compared to traditional photon Monte Carlo methods (PMCM), NCMCM can significantly reduce the tracking time in non-uniform media without affecting statistical results by introducing a null-collision event. By establishing the correlated assumption and using high-precision Gaussian quadrature scheme or random artificial spectral g-sampling method, FSCK can greatly reduce the number of solutions for the radiative transfer equation in non-uniform non-gray gases without losing spectral accuracy. The combination of FSCK and NCMCM can easily simulate radiative heat transfer in a non-uniform and non-grey media by merely introducing a non-gray stretching factor into the recorded blackbody radiation intensity. The computational accuracy and efficiency of two combination methods, FSCK/NCMCM and FSCK/PMCM, are evaluated through several typical cases. The results demonstrate that both FSCK/NCMCM with fixed artificial spectral g0 sampling and FSCK/PMCM with random artificial spectral g0 sampling achieve accuracy comparable to the benchmark method of LBL/NCMCM. FSCK/NCMCM exhibits stronger result stability for tracking more photon bundles per target element, while requiring only approximately half the computational time of FSCK/PMCM. Simultaneously, FSCK/NCMCM eliminates the process of pre-establishing and loading a R-g0 database, thereby providing the advantage of lower memory overhead. Furthermore, when NCMCM and PMCM adopt identical random g sampling, the computational efficiency of FSCK/NCMCM proves to be several times higher than that of FSCK/PMCM.
期刊介绍:
Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer:
- Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas.
- Spectral lineshape studies including models and computational algorithms.
- Atmospheric spectroscopy.
- Theoretical and experimental aspects of light scattering.
- Application of light scattering in particle characterization and remote sensing.
- Application of light scattering in biological sciences and medicine.
- Radiative transfer in absorbing, emitting, and scattering media.
- Radiative transfer in stochastic media.