Numerical Study on Permeability of Reconstructed Porous Concrete Based on Lattice Boltzmann Method

Autor: Danni Zhao, Jiangbo Xu, Xingang Wang, Qingjun Guo, Yangcheng Li, Zemin Han, Yifan Liu, Zixuan Zhang, Jiajun Zhang, Runtao Sun
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Buildings, Vol 14, Iss 4, p 1182 (2024)
Druh dokumentu: article
ISSN: 2075-5309
DOI: 10.3390/buildings14041182
Popis: The reconstruction of the porous media model is crucial for researching the mesoscopic seepage characteristics of porous concrete. Based on a self-compiled MATLAB program, a porous concrete model was modeled by controlling four parameters (distribution probability, growth probability, probability density, and porosity) with clear physical meanings using a quartet structure generation set (QSGS) along with the lattice Boltzmann method (LBM) to investigate permeability. The rationality of the numerical model was verified through Poiseuille flow theory. The results showed that the QSGS model exhibited varied pore shapes and disordered distributions, resembling real porous concrete. Seepage velocity distribution showed higher values in larger pores, with flow rates reaching up to 0.012 lattice point velocity. The permeability–porosity relationship demonstrated high linearity (the Pearson correlation coefficient is 0.92), consistent with real porous concrete behavior. The integration of QSGS-LBM represents a novel approach, and the research results can provide new ideas and new means for subsequent research on the permeability of porous concrete or similar porous medium materials.
Databáze: Directory of Open Access Journals