Noise sensitivity analysis for a novel error recovery technique

2002 ◽  
Author(s):  
M. Hasan ◽  
P. Marvasti
Keyword(s):  
Sensitivity Analysis ◽  
Error Recovery ◽  
Noise Sensitivity ◽  
Recovery Technique

Soft Error Recovery Technique for Multiprocessor SOPC

2011 ◽  
Author(s):  
Uros Legat ◽  
Anton Biasizzo ◽  
Franc Novak
Keyword(s):  
Error Recovery ◽  
Soft Error ◽  
Recovery Technique

scholarly journals Mesh Free Radial Point Interpolation Based Displacement Recovery Techniques for Elastic Finite Element Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1900
Author(s):  
Mohd. Ahmed ◽  
Devinder Singh ◽  
Saeed AlQadhi ◽  
Majed A. Alrefae
Keyword(s):  
Finite Element ◽  
Error Recovery ◽  
Basis Functions ◽  
Least Square ◽  
Element Solution ◽  
Displacement Error ◽  
Mesh Free ◽  
Radial Point Interpolation ◽  
Point Interpolation ◽  
Recovery Technique

The study develops the displacement error recovery method in a mesh free environment for the finite element solution employing the radial point interpolation (RPI) technique. The RPI technique uses the radial basis functions (RBF), along with polynomials basis functions to interpolate the displacement fields in a node patch and recovers the error in displacement field. The global and local errors are quantified in both energy and L2 norms from the post-processed displacement field. The RPI technique considers multi-quadrics/gaussian/thin plate splint RBF in combination with linear basis function for displacement error recovery analysis. The elastic plate examples are analyzed to demonstrate the error convergence and effectivity of the RPI displacement recovery procedures employing mesh free and mesh dependent patches. The performance of a RPI-based error estimators is also compared with the mesh dependent least square based error estimator. The triangular and quadrilateral elements are used for the discretization of plates domains. It is verified that RBF with their shape parameters, choice of elements, and errors norms influence considerably on the RPI-based displacement error recovery of finite element solution. The numerical results show that the mesh free RPI-based displacement recovery technique is more effective and achieve target accuracy in adaptive analysis with the smaller number of elements as compared to mesh dependent RPI and mesh dependent least square. It is also concluded that proposed mesh free recovery technique may prove to be most suitable for error recovery and adaptive analysis of problems dealing with large domain changes and domain discontinuities.

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