Recent developments in local global reduction techniques for the simulation of local failure in structures

This paper proposes a novel technique to reduce the computational burden associated with the simulation of structural failure by concentrating the computational effort where it is most needed, i.e. in the localisation zones. To do so, a local/global technique is devised where the global (slave) problem (far from the zones undergoing severe damage and cracking) is solved for in a reduced space computed by the classical Proper Orthogonal Decomposition, while the local (master) degrees of freedom (associated with the part of the structure where most of the damage is taking place) are fully resolved. Mots cles — nonlinear fracture mechanics, model order reduction, multiscale solution strategy.

[1]  Anthony Gravouil,et al.  A global model reduction approach for 3D fatigue crack growth with confined plasticity , 2011 .

[2]  D. Ryckelynck,et al.  A priori hyperreduction method: an adaptive approach , 2005 .

[3]  Alexander F. Vakakis,et al.  Nonlinear normal modes, Part I: A useful framework for the structural dynamicist , 2009 .

[4]  D. Rixen A dual Craig-Bampton method for dynamic substructuring , 2004 .

[5]  O. Allix,et al.  Non-intrusive and exact global/local techniques for structural problems with local plasticity , 2009 .

[6]  Siamak Niroomandi,et al.  Model order reduction for hyperelastic materials , 2010 .

[7]  Olivier Allix,et al.  A three-scale domain decomposition method for the 3D analysis of debonding in laminates , 2009, 1109.6111.

[8]  C. Farhat,et al.  Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations , 2011 .

[9]  Damijan Markovic,et al.  Partitioning based reduced order modelling approach for transient analyses of large structures , 2009 .

[10]  P. Ladevèze,et al.  The LATIN multiscale computational method and the Proper Generalized Decomposition , 2010 .

[11]  N. Nguyen,et al.  An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations , 2004 .

[12]  Elías Cueto,et al.  Proper generalized decomposition of multiscale models , 2010 .

[13]  Karl Pearson F.R.S. LIII. On lines and planes of closest fit to systems of points in space , 1901 .

[14]  H. Hotelling Analysis of a complex of statistical variables into principal components. , 1933 .

[15]  A. Nouy A generalized spectral decomposition technique to solve a class of linear stochastic partial differential equations , 2007 .

[16]  Aziz Hamdouni,et al.  Reduced‐order modelling for solving linear and non‐linear equations , 2011 .

[17]  P Kerfriden,et al.  Bridging Proper Orthogonal Decomposition methods and augmented Newton-Krylov algorithms: an adaptive model order reduction for highly nonlinear mechanical problems. , 2011, Computer methods in applied mechanics and engineering.