Smoothed particle hydrodynamics techniques for the solution of kinetic theory problems Part 1: Method

Abstract The smoothed particle hydrodynamics (SPH) technique has been applied to a problem in kinetic theory, namely, the dynamics of liquid crystalline polymers (LCPs). It is a Lagrangian solution method developed for fluid flow calculations; its adaption to kinetic theory is outlined. The Lagrangian formulation of the Doi theory for LCPs is first described, and the problem is presented in the general framework of nonparametric density estimation. The implementation of the SPH technique in this specific problem is given, highlighting particular aspects of our implementation of SPH, including the form of the kernel function and use of an adaptive kernel. We then present results which demonstrate convergence and other details of the solution method, and also make comparisons with other solution techniques and discuss other potential applications.

[1]  S. Miyama,et al.  Numerical Simulation of Viscous Flow by Smoothed Particle Hydrodynamics , 1994 .

[2]  Nicholas I. Fisher,et al.  Statistical Analysis of Spherical Data. , 1987 .

[3]  Jenq-Neng Hwang,et al.  Nonparametric multivariate density estimation: a comparative study , 1994, IEEE Trans. Signal Process..

[4]  Ronald G. Larson,et al.  Effect of molecular elasticity on out-of-plane orientations in shearing flows of liquid-crystalline polymers , 1991 .

[5]  G. Fredrickson The theory of polymer dynamics , 1996 .

[6]  R. Larson Arrested Tumbling in Shearing Flows of Liquid Crystal Polymers , 1990 .

[7]  L. Gary Leal,et al.  A new computational method for the solution of flow problems of microstructured fluids. Part 1. Theory , 1992 .

[8]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[9]  M. R. Leadbetter,et al.  On the Estimation of the Probability Density, I , 1963 .

[10]  J. Monaghan,et al.  Kernel estimates as a basis for general particle methods in hydrodynamics , 1982 .

[11]  A. Szeri,et al.  A new computational method for the solution of flow problems of microstructured fluids. Part 2. Inhomogeneous shear flow of a suspension , 1994, Journal of Fluid Mechanics.

[12]  J. Monaghan,et al.  A refined particle method for astrophysical problems , 1985 .

[13]  Giovanni Fasano,et al.  Probability density estimation in astronomy. , 1994 .

[14]  E. F. Schuster Estimation of a Probability Density Function and Its Derivatives , 1969 .

[15]  F. Frances Yao,et al.  Computational Geometry , 1991, Handbook of Theoretical Computer Science, Volume A: Algorithms and Complexity.

[16]  Paul A. Herzberg,et al.  Principles of Statistics , 1983 .

[17]  J. N. Leboeuf,et al.  A magnetohydrodynamic particle code for fluid simulation of plasmas , 1979 .

[18]  Nicholas I. Fisher,et al.  Statistical Analysis of Spherical Data. , 1987 .

[19]  J. Schieber,et al.  Application of kinetic theory models in spatiotemporal flows for polymer solutions, liquid crystals and polymer melts using the CONNFFESSIT approach , 1996 .

[20]  V. Alekseev Estimation of a probability density function and its derivatives , 1972 .

[21]  R. Kronmal,et al.  The Estimation of Probability Densities and Cumulatives by Fourier Series Methods , 1968 .

[22]  J. Monaghan Smoothed particle hydrodynamics , 2005 .

[23]  Ian Abramson On Bandwidth Variation in Kernel Estimates-A Square Root Law , 1982 .

[24]  E. Parzen On Estimation of a Probability Density Function and Mode , 1962 .

[25]  Omer Egecioglu Efficient Non-parametric Estimation of Probability Density Functions , 1995 .

[26]  B. M. Marder GAP—a PIC-type fluid code , 1975 .

[27]  P. Hall,et al.  Kernel density estimation with spherical data , 1987 .

[28]  Curtiss,et al.  Dynamics of Polymeric Liquids , .

[29]  J. Monaghan Particle methods for hydrodynamics , 1985 .

[30]  Ö. Eğecioğlu,et al.  A Fast Non‐Parametric Density Estimation Algorithm , 1995 .

[31]  Roland Keunings,et al.  On the Peterlin approximation for finitely extensible dumbbells , 1997 .

[32]  S. Schwartz Estimation of Probability Density by an Orthogonal Series , 1967 .

[33]  D. W. Scott,et al.  Nonparametric Estimation of Probability Densities and Regression Curves , 1988 .

[34]  S. Attaway,et al.  Smoothed particle hydrodynamics stability analysis , 1995 .

[35]  E. Müller,et al.  On the capabilities and limits of smoothed particle hydrodynamics , 1993 .