Influence Study of the Influence Domain to Numerical Simulation Results with Meshless Method

Article Preview

Abstract:

Meshless method calculation accuracy is influenced by many factors, in which influence domain and node distribution are the most important. Due to the restrictions of the meshless methods themselves, their respective influence factors are different. In the paper, the advantages and disadvantages of the collocation method, the meshless method based on the local weak formulation and collocation (MWS), the meshless radial basis interpolation method based on global weak formulation (RPIM) and the weighted least squares meshless method (MWLS) are discussed by comparing the average error of nodes value in different influence domain radius. The results show that the accuracy of the MVS method is higher, but not stable; the radial basis interpolation method based on global weak formulation (RPIM) is a relatively stable method, but needs a large amount of calculation; better results can be obtained using the collocation with a small amount of the polynomial basis function added, simple and practicable.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3223-3228

Citation:

Online since:

October 2013

Export:

Price:

* - Corresponding Author

[1] S.N. Atluri and T. Zhu: A new meshless local Petrov-Galerkin(MLPG) approach in computational Mechanics, Comput. Mech. 22(1998), pp.117-127.

DOI: 10.1007/s004660050346

Google Scholar

[2] G.R. Liu, Meshfree Method: Moving Beyond the Finite Element Method, Applied Mechanics Reviews, 56(2003), pp.937-938.

Google Scholar

[3] G.R. Liu and Y.T. Gu: A local radial point interpolation method(LRPIM)for free vibration analyses of 2-D solids, Journal of Sound and Vibration, 246(2001), pp.29-46.

DOI: 10.1006/jsvi.2000.3626

Google Scholar

[4] E. Onate, S. Idelsohn and O.C. Zienkiewicz, Taylor R L. A finite point method in computational mechanics. Applications to convective Transport and fluid flow. International Journal for Numberical Methods in Engineering, 39(1996), pp.3839-3866.

DOI: 10.1002/(sici)1097-0207(19961130)39:22<3839::aid-nme27>3.0.co;2-r

Google Scholar

[5] E. Onate, S. Idelsohn, O.C. Zienkiewicz, R.L. Taylor and S. Sacco, A stabilized finite point method for analysis of fliud mechanics problems. Computer Methods in Applied Mechanics and Engineering, 139(1996), pp.315-346.

DOI: 10.1016/s0045-7825(96)01088-2

Google Scholar

[6] S.A. Medin and A .N. Parshikov, Development of smoothed particle hydrodynamics method and its application in the hydrodynamics of condensed matter, High Temperature, 48(2010), pp.926-933.

DOI: 10.1134/s0018151x10060210

Google Scholar

[7] L.T. Zhang, G.J. Wagner and W.K. Liu, A parallelized meshfree method with boundary enrichment for largescale CFD, Journal of Computational Physics, 176(2002), pp.483-506.

DOI: 10.1006/jcph.2002.6999

Google Scholar

[8] S. Koshizuka, H. Tamako and Y. Oka, A particle method for incompressible viscous flow with fluid fragmentation, Comput. Fluid Dynamics J. 4(1995), pp.29-46.

Google Scholar

[9] B. Nayroles, G. Touzot and P. Villon, Generalizing the finite element method: Diffuse approximation and diffuse elements, Computational mechanics, 10(1992), pp.307-318.

DOI: 10.1007/bf00364252

Google Scholar

[10] T. Belytschko Y.Y. Lu. and L. Gu, Element-free Galerkin methods. International Journal for Numerical Methods in Engineering, 37(1994), pp.229-256.

DOI: 10.1002/nme.1620370205

Google Scholar

[11] M. Duflot and H. Nguyen-Dang, A truly meshless Galerkin method based on a moving least squares quadrature, Communication in Numerical Methods in Engineering, 18 (2002), pp.441-449.

DOI: 10.1002/cnm.503

Google Scholar

[12] E. Onate, C. Sacco and S. Idelsohn, A finite point method for compressible flow, International Journal for Numerical Methods in Engineering , 53(2002), pp.1765-1779.

DOI: 10.1002/nme.334

Google Scholar

[13] T. Zhu, J.D. Zhang and N. Atluri, A local boundary integral equation (LIBE) method in computational mechanics, and a meshless discrtization approach, Computional Mechanics, 21(1998), pp.223-235.

DOI: 10.1007/s004660050297

Google Scholar

[14] Q.W. Ma, Meshless local Petrov-Galerkin Method for two-dimensional nonlinear water wave problems, Journal of Computational Physics, 205(2005), pp.611-625.

DOI: 10.1016/j.jcp.2004.11.010

Google Scholar

[15] J. Amani, M.H. Afshar and M. Naisipour, Mixed discrete least squares meshless method for planar elasticity problems using regular and irregular nodal distributions, Engineering Analysis with Boundary Elements, 36(2012), pp.894-902.

DOI: 10.1016/j.enganabound.2011.09.012

Google Scholar

[16] X.K. Zhang, K.C. Kwon and S.K. Youn, Least-squares meshfree method for incompressible Navier-Stokes Problems, International Journal for Numerical Methods in Fluids, 46(2004), pp.263-288.

DOI: 10.1002/fld.758

Google Scholar

[17] X . Zhang, X.H. Liu and K.Z. Song, Least-square collocation meshless method. 9(2001).

Google Scholar

[18] Y. Liu, X. Zhang and M.W. Lu, Meshless Least-Squares Method for Solving the Steady-State Heat Conduction Equation, Tsinghua Science & Technology, 10(2005), pp.61-66.

DOI: 10.1016/s1007-0214(05)70010-9

Google Scholar

[19] J.G. Wang and G.R. Liu, A point interpolation meshless method based on radial basis functions, International Journal for Numerical Methods in Engineering, 54(2002), pp.1623-1648.

DOI: 10.1002/nme.489

Google Scholar

[20] Y.L. Wu and G.R. Liu, A meshfree formulation of local radial point interpolation method(LRPIM) for incompressible flow simulation, Computional Mechnics, 30(2003), pp.355-365.

DOI: 10.1007/s00466-003-0411-x

Google Scholar

[21] T. Belytschko, Y. Krongauz and D. Organ, Meshless method: An overview and recent developments, 1996, pp.1-4.

Google Scholar