3 D CRACK DETECTION USING AN XFEM VARIANT AND GLOBAL OPTIMIZATION ALGORTITHMS

In the present work, a scheme is presented for the detection of cracks in three dimensional (3D) structures. The scheme is based on the combination of a newly introduced variation of the extended finite element method (XFEM) and global optimization algorithms. As with existing crack detection schemes, optimization algorithms are employed to minimize the norm of the difference between measured response of the structure, typically strains in some specific points along the boundary, and the response predicted numerically by XFEM. During the optimization procedure the crack geometry is parametrized and the parameters serve as design variables. The whole procedure involves the solution of a very large number of forward problems, which constitute the main computational effort. Therefore, emphasis is given in the reduction of the computational cost associated with the solution of each individual forward problem since it can directly affect the total computational time. The employed XFEM variant can provide increased accuracy for the forward problems at a reduced computational toll, thus decreasing the overall analysis time associated with the crack detection scheme. This reduction is a result of the improved conditioning of the system matrices which leads to a decrease in the time needed to solve the corresponding systems which ranges from 40% up to a few orders of magnitude depending on the enrichment strategy used. Since during the optimization procedure cracks are randomly generated, cracks that lie beyond the boundaries of the structure can occur. In order to exclude those cracks, implicit functions are defined in order to localize the cracks within the structure. In some cases those functions are modified so as to exclude also cracks lying in further invalid locations within the search space. The potential of the proposed scheme is demonstrated through numerical examples involving the detection of cracks in 3D structures. 1 DOI 10.21012/FC9.261 Konstantinos Agathos, Eleni Chatzi and Stéphane P. A. Bordas

[1]  N. Holmer,et al.  Electrical Impedance Tomography , 1991 .

[2]  Craig A. Rogers,et al.  MONITORING THE INTEGRITY OF COMPOSITE PATCH STRUCTURAL REPAIR VIA PIEZOELECTRIC ACTUATORS/SENSORS , 1995 .

[3]  I. Babuska,et al.  The partition of unity finite element method: Basic theory and applications , 1996 .

[4]  Osama Hunaidi Evolution-based genetic algorithms for analysis of non-destructive surface wave tests on pavements , 1998 .

[5]  Ted Belytschko,et al.  Elastic crack growth in finite elements with minimal remeshing , 1999 .

[6]  Ted Belytschko,et al.  A finite element method for crack growth without remeshing , 1999 .

[7]  Victor Giurgiutiu,et al.  Experimental Investigation of E/M Impedance Health Monitoring for Spot-Welded Structural Joints , 1999 .

[8]  T. Belytschko,et al.  Arbitrary branched and intersecting cracks with the eXtended Finite Element Method , 2000 .

[9]  T. Belytschko,et al.  Extended finite element method for three-dimensional crack modelling , 2000 .

[10]  T. Belytschko,et al.  MODELING HOLES AND INCLUSIONS BY LEVEL SETS IN THE EXTENDED FINITE-ELEMENT METHOD , 2001 .

[11]  Charles Hellier,et al.  Handbook of Nondestructive Evaluation , 2001 .

[12]  Richard K. Beatson,et al.  Reconstruction and representation of 3D objects with radial basis functions , 2001, SIGGRAPH.

[13]  T. Belytschko,et al.  Non‐planar 3D crack growth by the extended finite element and level sets—Part I: Mechanical model , 2002 .

[14]  T. Belytschko,et al.  Non‐planar 3D crack growth by the extended finite element and level sets—Part II: Level set update , 2002 .

[15]  Petros Koumoutsakos,et al.  Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.

[16]  Ted Belytschko,et al.  An extended finite element method with higher-order elements for curved cracks , 2003 .

[17]  T. Belytschko,et al.  On the construction of blending elements for local partition of unity enriched finite elements , 2003 .

[18]  Peter C. Chang,et al.  Recent Research in Nondestructive Evaluation of Civil Infrastructures , 2003 .

[19]  Hoon Sohn,et al.  Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward , 2003 .

[20]  Nikolaus Hansen,et al.  Evaluating the CMA Evolution Strategy on Multimodal Test Functions , 2004, PPSN.

[21]  C. Yun,et al.  Health monitoring of steel structures using impedance of thickness modes at PZT patches , 2005 .

[22]  Victor Giurgiutiu,et al.  Damage Detection in Thin Plates and Aerospace Structures with the Electro-Mechanical Impedance Method , 2005 .

[23]  N. Moës,et al.  Improved implementation and robustness study of the X‐FEM for stress analysis around cracks , 2005 .

[24]  Michel Salaün,et al.  High‐order extended finite element method for cracked domains , 2005 .

[25]  M. Duflot A study of the representation of cracks with level sets , 2007 .

[26]  Dan Givoli,et al.  XFEM‐based crack detection scheme using a genetic algorithm , 2007 .

[27]  T. Belytschko,et al.  Blending in the extended finite element method by discontinuous Galerkin and assumed strain methods , 2008 .

[28]  Wieslaw Ostachowicz,et al.  Damage detection of structures using spectral finite element method , 2008 .

[29]  Raymond Ros,et al.  A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity , 2008, PPSN.

[30]  T. Fries A corrected XFEM approximation without problems in blending elements , 2008 .

[31]  Luigi Ferrigno,et al.  Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression , 2008, IEEE Transactions on Instrumentation and Measurement.

[32]  Eugenio Giner,et al.  Enhanced blending elements for XFEM applied to linear elastic fracture mechanics , 2009 .

[33]  Ted Belytschko,et al.  Fast integration and weight function blending in the extended finite element method , 2009 .

[34]  Haim Waisman,et al.  Detection and quantification of flaws in structures by the extended finite element method and genetic algorithms , 2010 .

[35]  S. Bordas,et al.  A robust preconditioning technique for the extended finite element method , 2011 .

[36]  Peter Wriggers,et al.  3D corrected XFEM approach and extension to finite deformation theory , 2011 .

[37]  Haim Waisman,et al.  Experimental application and enhancement of the XFEM-GA algorithm for the detection of flaws in structures , 2011 .

[38]  Luis Héctor Hernández-Gómez,et al.  High resolution non-destructive evaluation of defects using artificial neural networks and wavelets , 2012 .

[39]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[40]  Raimondo Betti,et al.  Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm , 2013 .

[41]  Raimondo Betti,et al.  A multiscale flaw detection algorithm based on XFEM , 2014 .

[42]  Wei-Tsong Lee,et al.  Nondestructive Evaluation of Buried Dielectric Cylinders by Asynchronous Particle Swarm Optimization , 2015 .

[43]  S. Bordas,et al.  A well‐conditioned and optimally convergent XFEM for 3D linear elastic fracture , 2016 .

[44]  Stéphane Bordas,et al.  Stable 3D extended finite elements with higher order enrichment for accurate non planar fracture , 2016 .