Dissipative Particle Dynamics (DPD): An Overview and Recent Developments

被引:177
作者
Liu, M. B. [1 ]
Liu, G. R. [2 ]
Zhou, L. W. [1 ]
Chang, J. Z. [3 ]
机构
[1] Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
[2] Univ Cincinnati, Aerosp Syst, Cincinnati, OH 45221 USA
[3] North Univ China, Sch Mech Engn, Taiyuan 030051, Peoples R China
关键词
Dissipative particle dynamics (DPD); Meshfree method; Particle method; Coarse-grained method; Mesoscale; Multiscale; LATTICE-BOLTZMANN METHOD; INITIO MOLECULAR-DYNAMICS; DILUTE POLYMER-SOLUTIONS; FRONT-TRACKING METHOD; LONG DNA-MOLECULES; RED-BLOOD-CELLS; MESOSCOPIC SIMULATION; FLUID MOTION; UNSATURATED FRACTURE; COMPUTER-SIMULATION;
D O I
10.1007/s11831-014-9124-x
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Dissipative particle dynamics (DPD) is a mesoscale particle method that bridges the gap between microscopic and macroscopic simulations. It can be regarded as a coarse-grained molecular dynamics method suitable for larger time and length scales. It has been successfully applied to different areas of interests, especially in modeling the hydrodynamic behavior of complex fluids in mesoscale. This paper presents an overview on DPD including the methodology, formulation, implementation procedure and some related numerical aspects. The paper also reviews the major applications of the DPD method, especially in modeling (1) micro drop dynamics, (2) multiphase flows in micro-channels and fracture networks, (3) movement and suspension of macromolecules in micro channels and (4) movement and deformation of single cells. The paper ends with some concluding remarks summarizing the major features and future possible development of this unique mesoscale modeling technique.
引用
收藏
页码:529 / 556
页数:28
相关论文
共 156 条
[1]   An adaptive, Cartesian, front-tracking method for the motion, deformation and adhesion of circulating cells [J].
Agresar, G ;
Linderman, JJ ;
Tryggvason, G ;
Powell, KG .
JOURNAL OF COMPUTATIONAL PHYSICS, 1998, 143 (02) :346-380
[2]   Lattice-Boltzmann Method for Complex Flows [J].
Aidun, Cyrus K. ;
Clausen, Jonathan R. .
ANNUAL REVIEW OF FLUID MECHANICS, 2010, 42 :439-472
[3]  
Allen M. P., 2017, COMPUTER SIMULATION
[4]   A stochastic boundary forcing for dissipative particle dynamics [J].
Altenhoff, Adrian M. ;
Walther, Jens H. ;
Koumoutsakos, Petros .
JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 225 (01) :1125-1136
[5]  
Anderson John David, 1995, Computational Fluid Dynamics, V206
[6]  
[Anonymous], TECH SCI
[7]   Neutrophil transit times through pulmonary capillaries: The effects of capillary geometry and fMLP-stimulation [J].
Bathe, M ;
Shirai, A ;
Doerschuk, CM ;
Kamm, RD .
BIOPHYSICAL JOURNAL, 2002, 83 (04) :1917-1933
[8]   Meshless methods: An overview and recent developments [J].
Belytschko, T ;
Krongauz, Y ;
Organ, D ;
Fleming, M ;
Krysl, P .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1996, 139 (1-4) :3-47
[9]   COMPUTATIONAL METHODS IN LAGRANGIAN AND EULERIAN HYDROCODES [J].
BENSON, DJ .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1992, 99 (2-3) :235-394
[10]   Coarse graining of nonbonded degrees of freedom [J].
Bock, H. ;
Gubbins, K. E. ;
Klapp, S. H. L. .
PHYSICAL REVIEW LETTERS, 2007, 98 (26)