LAPSE:2019.1523
Published Article
LAPSE:2019.1523
A Lagrangian Particle Algorithm (SPH) for an Autocatalytic Reaction Model with Multicomponent Reactants
Qingzhi Hou, Jiaru Liu, Jijian Lian, Wenhuan Lu
December 10, 2019
For the numerical simulation of convection-dominated reacting flow problems governed by convection-reaction equations, grids-based Eulerian methods may cause different degrees of either numerical dissipation or unphysical oscillations. In this paper, a Lagrangian particle algorithm based on the smoothed particle hydrodynamics (SPH) method is proposed for convection-reaction equations and is applied to an autocatalytic reaction model with multicomponent reactants. Four typical Eulerian methods are also presented for comparison, including the high-resolution technique with the Superbee flux limiter, which has been considered to be the most appropriate technique for solving convection-reaction equations. Numerical results demonstrated that when comparing with traditional first- and second-order schemes and the high-resolution technique, the present Lagrangian particle algorithm has better numerical accuracy. It can correctly track the moving steep fronts without suffering from numerical diffusion and spurious oscillations.
Keywords
convection dominated reaction problem, lagrangian particle algorithm, reacting flow models, smoothed particle hydrodynamics
Suggested Citation
Hou Q, Liu J, Lian J, Lu W. A Lagrangian Particle Algorithm (SPH) for an Autocatalytic Reaction Model with Multicomponent Reactants. (2019). LAPSE:2019.1523
Author Affiliations
Hou Q: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300354, China; School of Civil Engineering, Tianjin University, Tianjin 300350, China; College of Intelligence and Computing, Tianjin University, Tianjin 3003
Liu J: College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
Lian J: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300354, China; School of Civil Engineering, Tianjin University, Tianjin 300350, China
Lu W: College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
[Login] to see author email addresses.
Journal Name
Processes
Volume
7
Issue
7
Article Number
E421
Year
2019
Publication Date
2019-07-03
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7070421, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.1523
This Record
External Link

doi:10.3390/pr7070421
Publisher Version
Download
Files
[Download 1v1.pdf] (1.3 MB)
Dec 10, 2019
License
CC BY 4.0
Meta
Record Statistics
Record Views
412
Version History
[v1] (Original Submission)
Dec 10, 2019
 
Verified by curator on
Dec 10, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.1523
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version