Lattice Boltzmann method with the cell-population equilibrium
Zhou Xiao-Yang(周晓阳)a)†,Cheng Bing(程冰)a)b), and Shi Bao-Chang(施保昌)a)
a Department of Mathematics, Huazhong University of Science and Technology, Wuhan 430074, China; bDepartment of Science Institute, Qingdao Agricultural University, Qingdao 266109, China
Abstract The central problem of the lattice Boltzmann method (LBM) is to construct a discrete equilibrium. In this paper, a multi-speed 1D cell-model of Boltzmann equation is proposed, in which the cell-population equilibrium, a direct non-negative approximation to the continuous Maxwellian distribution, plays an important part. By applying the explicit one-order Chapman--Enskog distribution, the model reduces the transportation and collision, two basic evolution steps in LBM, to the transportation of the non-equilibrium distribution. Furthermore, 1D dam-break problem is performed and the numerical results agree well with the analytic solutions.
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.