A new error estimation approach based on fuzzy logic system for H-R adaptive boundary element method

Abstract Conventional adaptive boundary element method cannot be universally applied to solve many more problems than the subject it discussed, and different error estimation formulas need to be designed for varied problems. This paper put forward a new error analysis method based on the fuzzy logic system, which is able to make error estimation effectively using human expert experience, and solve the two classical elasticity problems in conjunction with the H-R adaptive boundary element method. Numerical examples have illustrated the effectiveness, superiority and potential of a fuzzy logic approach in the adaptive boundary element method.

[1]  K. J. Satsios,et al.  An artificial intelligence system for a complex electromagnetic field problem. I. Finite element calculations and fuzzy logic development , 1999 .

[2]  N. W. Rees,et al.  Analysis and design of fuzzy control systems , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[3]  A. A. Arkadan,et al.  Fuzzy inference system for the characterization of SRM drives under normal and fault conditions , 2001 .

[4]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[5]  Yu Chun-xiao Study on adaptive numerical resolution for elastic problems , 2005 .

[6]  Chieh-Li Chen,et al.  Analysis and design of fuzzy control system , 1993 .

[7]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[8]  M. Aliabadi,et al.  Boundary‐Element Method , 2009 .

[9]  Enrique Melgoza-Vazquez,et al.  Convergence improvement in two-dimensional finite element nonlinear magnetic problems-a fuzzy logic approach , 2005 .

[10]  E. Kita,et al.  Error estimation and adaptive mesh refinement in boundary element method, an overview , 2001 .

[11]  K. J. Satsios,et al.  An artificial intelligence system for a complex electromagnetic field problem. II. Method implementation and performance analysis , 1999 .

[12]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control , 1994 .

[13]  A new h -adaptive refinement scheme for the boundary element method using local reanalysis , 1997 .

[14]  Chunxiao Yu,et al.  STUDY ON ADAPTIVE NUMERICAL ANALYSIS METHOD FOR ELASTIC PROBLEMS , 2005 .

[15]  Takashi Hiyama,et al.  A fuzzy logic excitation system for stability enhancement of power systems with multi-mode oscillations , 1996 .

[16]  W. S. Hall,et al.  Boundary Element Method , 2006 .

[17]  Hong Xiao,et al.  Error analysis and novel near-field preconditioning techniques for Taylor series multipole-BEM , 2010 .

[19]  Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .

[20]  Stefan A. Funken,et al.  Energy norm based a posteriori error estimation for boundary element methods in two dimensions , 2009 .

[21]  Xin Wang,et al.  Error estimation and h adaptive boundary elements , 1999 .