Inverted stochastic lattice Boltzmann-Lagrangian model for identifying indoor particulate pollutant sources

Qin Jinghong

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Inverted stochastic lattice Boltzmann-Lagrangian model for identifying indoor particulate pollutant sources

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Abstract This paper studies the inverted stochastic lattice Boltzmann-Lagrangian approach for identifying indoor particulate pollutant sources. The dynamics of the fluid (indoor air) as well as the transport of the particles in the Eulerian description are solved using the lattice Boltzmann method. The particles regard as rigid bodies, and the data interactions between lattice fluid and particle movement are implemented by calculating for interaction force and void fraction. Particle-wall collision process is based on the softball model which describes the dynamic characteristics of particles in microscopic state. The results are shown that the particle forward and inverted drifting paths and its mechanisms are investigated clearly than previous methods. Indoor particulate pollutant sources can exactly identify with this approach. This research can offer theoretical relevance to the modeling of multi-phase particle fluid.Graphical abstract

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《Theoretical and Computational Fluid Dynamics》 |2023年第6期|755-765|共11页
作者
Qin Jinghong;
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作者单位

Information Science Research Group;

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原文格式 PDF
正文语种英语
中图分类流体力学;
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Boltzmann method; Transmission path; Inverse problem; Particle-wall collision; Indoor air pollution;

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Inverted stochastic lattice Boltzmann-Lagrangian model for identifying indoor particulate pollutant sources

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