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Journal of Building Physics 特刊征稿:多孔介质中的复杂流动-机理、多尺度建模及其在建筑物理中的应用

发布时间:2025-03-25
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发布时间:
2025-03-25
文章标题:
Journal of Building Physics 特刊征稿:多孔介质中的复杂流动-机理、多尺度建模及其在建筑物理中的应用
内容:

Complex Flows in Porous Media (CFPM)-Mechanisms, Multiscale Modeling, and Applications in Building Physics

 

Special Issue Call for Papers

Guest editors:

  • Linlin Fei: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, China
  • Yonghui Li: School of Architecture, Southeast University, Nanjing, China

Submission deadline: 30th June, 2025

This special issue aims to collect original state-of-the-art research on the fundamental understanding, multi-scale modeling, and practical applications of complex flow phenomena in porous media. We particularly welcome studies that showcase breakthroughs with significant relevance to building physics, including building envelope structures, indoor environmental regulation, energy-saving technology development, and heritage building preservation. Submitted papers should demonstrate a strong synergy between theoretical advancements and practical applications, driving innovation in both the theory and applications of porous media flows in building physics.

We invite original research articles, review papers, and case studies that explore, but are not limited to, the following topics:

  • Multiphase and multi-physics transport processes in porous media
  • Computational fluid dynamics (CFD), Lattice Boltzmann modeling (LBM), Pore-network modeling (PNM), and their coupling model
  • Upscaling techniques from pore-scale to macro-scale
  • New techniques for measuring the hygrothermal properties of porous building materials
  • Data-driven and machine-learning approaches for porous media modeling
  • Heat, air, and moisture transport in building materials
  • Energy efficiency and thermal performance of porous building components
  • Air infiltration, ventilation, and pollutant transport in porous structures
  • Sustainability and resilience of porous construction materials

Submission information: