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AN UNSTRUCTURED REVERSE MONTE-CARLO METHOD FOR SOLVING RADIATIVE INTENSITY IN GRAY MEDIA WITH COMPLEX GEOMETRIES.

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Title: AN UNSTRUCTURED REVERSE MONTE-CARLO METHOD FOR SOLVING RADIATIVE INTENSITY IN GRAY MEDIA WITH COMPLEX GEOMETRIES.
Authors: LIU, Jianjun1,2 jianjun_liu@hust.edu.cn, LI, Zhiwei2, ZHANG, Liqi1
Source: Thermal Science. 2025, Vol. 29 Issue 5B, p4001-4011. 11p.
Subjects: Radiant intensity, Complex geometry, Monte Carlo method, Opacity (Optics), Fluid flow, Ray tracing, Numerical grid generation (Numerical analysis), Heat flux
Abstract: Solution of radiative intensity plays an important role in many areas, such as combustion monitoring, fire detection, and infrared imaging simulation, etc. The reverse Monte-Carlo method is a widely used method due to its high accuracy and flexibility. However, it has not been applied to solve radiative intensity in systems discretized by unstructured grids which are usually applied in complex geometries. This brings difficulty if the solution of radiative intensity is applied to practical radiative systems of irregular geometries, especially coupled with other physical problems, such as fluid-flow, etc. In this work, the reverse Monte-Carlo method based on unstructured grids is developed for solving radiative intensity in participating media with complex geometries. In order to improve the efficiency of ray tracing process, a preprocessing procedure is introduced to establish topological relationships between unstructured grids. Radiative heat flux and radiative intensity in radiative systems with different geometries of a cube and a triangular prism are calculated. Comparing with results of other methods in literatures, radiative heat flux and radiative intensity calculated by the present method shows very good accuracy. [ABSTRACT FROM AUTHOR]
Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: AN UNSTRUCTURED REVERSE MONTE-CARLO METHOD FOR SOLVING RADIATIVE INTENSITY IN GRAY MEDIA WITH COMPLEX GEOMETRIES.
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  Data: <searchLink fieldCode="JN" term="%22Thermal+Science%22">Thermal Science</searchLink>. 2025, Vol. 29 Issue 5B, p4001-4011. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Radiant+intensity%22">Radiant intensity</searchLink><br /><searchLink fieldCode="DE" term="%22Complex+geometry%22">Complex geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Opacity+%28Optics%29%22">Opacity (Optics)</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+flow%22">Fluid flow</searchLink><br /><searchLink fieldCode="DE" term="%22Ray+tracing%22">Ray tracing</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+grid+generation+%28Numerical+analysis%29%22">Numerical grid generation (Numerical analysis)</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+flux%22">Heat flux</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Solution of radiative intensity plays an important role in many areas, such as combustion monitoring, fire detection, and infrared imaging simulation, etc. The reverse Monte-Carlo method is a widely used method due to its high accuracy and flexibility. However, it has not been applied to solve radiative intensity in systems discretized by unstructured grids which are usually applied in complex geometries. This brings difficulty if the solution of radiative intensity is applied to practical radiative systems of irregular geometries, especially coupled with other physical problems, such as fluid-flow, etc. In this work, the reverse Monte-Carlo method based on unstructured grids is developed for solving radiative intensity in participating media with complex geometries. In order to improve the efficiency of ray tracing process, a preprocessing procedure is introduced to establish topological relationships between unstructured grids. Radiative heat flux and radiative intensity in radiative systems with different geometries of a cube and a triangular prism are calculated. Comparing with results of other methods in literatures, radiative heat flux and radiative intensity calculated by the present method shows very good accuracy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.2298/TSCI241227073L
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 4001
    Subjects:
      – SubjectFull: Radiant intensity
        Type: general
      – SubjectFull: Complex geometry
        Type: general
      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Opacity (Optics)
        Type: general
      – SubjectFull: Fluid flow
        Type: general
      – SubjectFull: Ray tracing
        Type: general
      – SubjectFull: Numerical grid generation (Numerical analysis)
        Type: general
      – SubjectFull: Heat flux
        Type: general
    Titles:
      – TitleFull: AN UNSTRUCTURED REVERSE MONTE-CARLO METHOD FOR SOLVING RADIATIVE INTENSITY IN GRAY MEDIA WITH COMPLEX GEOMETRIES.
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            NameFull: LIU, Jianjun
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            NameFull: LI, Zhiwei
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            NameFull: ZHANG, Liqi
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            – D: 01
              M: 06
              Text: 2025
              Type: published
              Y: 2025
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            – TitleFull: Thermal Science
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