A particle-based method for granular flow simulation

Handle URI:
http://hdl.handle.net/10754/562130
Title:
A particle-based method for granular flow simulation
Authors:
Chang, Yuanzhang; Bao, Kai; Zhu, Jian; Wu, Enhua
Abstract:
We present a new particle-based method for granular flow simulation. In the method, a new elastic stress term, which is derived from a modified form of the Hooke's law, is included in the momentum governing equation to handle the friction of granular materials. Viscosity force is also added to simulate the dynamic friction for the purpose of smoothing the velocity field and further maintaining the simulation stability. Benefiting from the Lagrangian nature of the SPH method, large flow deformation can be well handled easily and naturally. In addition, a signed distance field is also employed to enforce the solid boundary condition. The experimental results show that the proposed method is effective and efficient for handling the flow of granular materials, and different kinds of granular behaviors can be well simulated by adjusting just one parameter. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Springer Nature
Journal:
Science China Information Sciences
Issue Date:
16-Mar-2012
DOI:
10.1007/s11432-012-4564-0
Type:
Article
ISSN:
1674733X
Sponsors:
This work was supported by National Natural Science Foundation of China (Grant Nos. 60773030, 60833007) and Studentship and Research Grant of University of Macau. We would like to thank Prof. Liu Moubin (Institute of Mechanics, Chinese Academy of Sciences, Beijing, China) for his long-time help and advices on the SPH method.
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorChang, Yuanzhangen
dc.contributor.authorBao, Kaien
dc.contributor.authorZhu, Jianen
dc.contributor.authorWu, Enhuaen
dc.date.accessioned2015-08-03T09:45:30Zen
dc.date.available2015-08-03T09:45:30Zen
dc.date.issued2012-03-16en
dc.identifier.issn1674733Xen
dc.identifier.doi10.1007/s11432-012-4564-0en
dc.identifier.urihttp://hdl.handle.net/10754/562130en
dc.description.abstractWe present a new particle-based method for granular flow simulation. In the method, a new elastic stress term, which is derived from a modified form of the Hooke's law, is included in the momentum governing equation to handle the friction of granular materials. Viscosity force is also added to simulate the dynamic friction for the purpose of smoothing the velocity field and further maintaining the simulation stability. Benefiting from the Lagrangian nature of the SPH method, large flow deformation can be well handled easily and naturally. In addition, a signed distance field is also employed to enforce the solid boundary condition. The experimental results show that the proposed method is effective and efficient for handling the flow of granular materials, and different kinds of granular behaviors can be well simulated by adjusting just one parameter. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.en
dc.description.sponsorshipThis work was supported by National Natural Science Foundation of China (Grant Nos. 60773030, 60833007) and Studentship and Research Grant of University of Macau. We would like to thank Prof. Liu Moubin (Institute of Mechanics, Chinese Academy of Sciences, Beijing, China) for his long-time help and advices on the SPH method.en
dc.publisherSpringer Natureen
dc.subjectanimationen
dc.subjectgranular materialsen
dc.subjectHooke's lawen
dc.subjectsanden
dc.subjectsimulationen
dc.subjectsmoothed particle hydrodynamicsen
dc.subjectSPHen
dc.titleA particle-based method for granular flow simulationen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalScience China Information Sciencesen
dc.contributor.institutionDepartment of Computer and Information Science, University of Macau, Macao, Chinaen
dc.contributor.institutionState Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, Chinaen
kaust.authorBao, Kaien
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