DocumentCode
2663196
Title
Notice of Retraction
h-adaptive analysis based on B spline wavelet for element free Galerkin method
Author
Di Li ; Jiachuan Xu
Author_Institution
Sch. of Transp. & Vehicle Eng., Shandong Univ. of Technol., Zibo, China
Volume
5
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The h-adaptive element free Galerkin method is presented using the two scales decomposition techniques to generate error estimate based on B spline wavelet. The scaling functions of B spline wavelet are employed as the basis functions of moving least square method to construct the meshless approximation function. Multi-resolution analysis is used to decompose the field variables into high and low scales and the high scale component in the present method can directly detect high gradient regions of the field variables. The developed adaptive refinement scheme has been applied to simulate numerical examples, and numerical results have shown the effectiveness of the present method.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The h-adaptive element free Galerkin method is presented using the two scales decomposition techniques to generate error estimate based on B spline wavelet. The scaling functions of B spline wavelet are employed as the basis functions of moving least square method to construct the meshless approximation function. Multi-resolution analysis is used to decompose the field variables into high and low scales and the high scale component in the present method can directly detect high gradient regions of the field variables. The developed adaptive refinement scheme has been applied to simulate numerical examples, and numerical results have shown the effectiveness of the present method.
Keywords
Galerkin method; adaptive estimation; approximation theory; least squares approximations; splines (mathematics); B spline wavelet; adaptive refinement scheme; basis functions; element free Galerkin method; error estimate generation; field variables; h-adaptive analysis; high gradient regions; high scale component; low scale component; meshless approximation function; moving least square method; multiresolution analysis; scaling functions; two scale decomposition techniques; Automotive engineering; Finite element methods; Least squares approximation; Least squares methods; Moment methods; Spline; Stress; Transportation; Vehicles; Wavelet analysis; adaptive analysis; element free Galerkin method; meshless method; multi-resolution analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5486159
Filename
5486159
Link To Document