Adaptive sparse grid based HOPGD: Toward a nonintrusive strategy for constructing space‐time welding computational vademecum
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N. Blal | Anthony Gravouil | Nawfal Blal | Y. Lu | Ye Lu | A. Gravouil | N. Blal | Y. Lu
[1] A. Ammar,et al. PGD-Based Computational Vademecum for Efficient Design, Optimization and Control , 2013, Archives of Computational Methods in Engineering.
[2] Danny C. Sorensen,et al. Nonlinear Model Reduction via Discrete Empirical Interpolation , 2010, SIAM J. Sci. Comput..
[3] C. Farhat,et al. Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity , 2008 .
[4] Anthony Gravouil,et al. A global model reduction approach for 3D fatigue crack growth with confined plasticity , 2011 .
[5] Charbel Farhat,et al. The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows , 2012, J. Comput. Phys..
[6] Isabelle Ramière,et al. Iterative residual-based vector methods to accelerate fixed point iterations , 2015, Comput. Math. Appl..
[7] Daniel A. Tortorelli,et al. A displacement-based reference frame formulation for steady-state thermo-elasto-plastic material processes , 1999 .
[8] F. Chinesta,et al. A Short Review in Model Order Reduction Based on Proper Generalized Decomposition , 2018 .
[9] Francisco Chinesta,et al. Computational vademecums for real‐time simulation of surgical cutting in haptic environments , 2016 .
[10] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[11] Francisco Chinesta,et al. A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids , 2006 .
[12] Alain Combescure,et al. Efficient hyper‐reduced‐order model (HROM) for thermal analysis in the moving frame , 2017 .
[13] A. Huespe,et al. High-performance model reduction techniques in computational multiscale homogenization , 2014 .
[14] Ye Lu,et al. Multi-parametric space-time computational vademecum for parametric studies: Application to real time welding simulations , 2018 .
[15] David Ryckelynck. Hyper‐reduction of mechanical models involving internal variables , 2009 .
[16] E. Tyrtyshnikov. Kronecker-product approximations for some function-related matrices , 2004 .
[17] Francisco Chinesta,et al. A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modelling of complex fluids - Part II: Transient simulation using space-time separated representations , 2007 .
[18] Elías Cueto,et al. Real‐time monitoring of thermal processes by reduced‐order modeling , 2015 .
[19] P. Ladevèze,et al. The LATIN multiscale computational method and the Proper Generalized Decomposition , 2010 .
[20] Stefan Volkwein,et al. Galerkin proper orthogonal decomposition methods for parabolic problems , 2001, Numerische Mathematik.
[21] Pierre Ladevèze,et al. Virtual charts for shape optimization of structures , 2013 .
[22] Siamak Niroomandi,et al. Real-time deformable models of non-linear tissues by model reduction techniques , 2008, Comput. Methods Programs Biomed..
[23] Icíar Alfaro,et al. Computational vademecums for the real-time simulation of haptic collision between nonlinear solids , 2015 .
[24] Charbel Farhat,et al. Nonlinear model order reduction based on local reduced‐order bases , 2012 .
[25] Julien Yvonnet,et al. The reduced model multiscale method (R3M) for the non-linear homogenization of hyperelastic media at finite strains , 2007, J. Comput. Phys..
[26] Alain Combescure,et al. Efficient hyper reduced-order model (HROM) for parametric studies of the 3D thermo-elasto-plastic calculation , 2015 .
[27] 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.
[28] Siamak Niroomandi,et al. Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models , 2012, Comput. Methods Programs Biomed..
[29] Francisco Chinesta,et al. Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models , 2010 .
[30] A. Corigliano,et al. Model Order Reduction and domain decomposition strategies for the solution of the dynamic elastic–plastic structural problem , 2015 .
[31] David Néron,et al. Virtual charts of solutions for parametrized nonlinear equations , 2014 .
[32] A. Huerta,et al. Proper generalized decomposition for parameterized Helmholtz problems in heterogeneous and unbounded domains: Application to harbor agitation , 2015 .
[33] Adrien Leygue,et al. Vademecum‐based GFEM (V‐GFEM): optimal enrichment for transient problems , 2016 .
[34] Siamak Niroomandi,et al. Model order reduction for hyperelastic materials , 2010 .
[35] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[36] Pedro Díez,et al. Real time parameter identification and solution reconstruction from experimental data using the Proper Generalized Decomposition , 2015 .
[37] D. Ryckelynck,et al. A priori hyperreduction method: an adaptive approach , 2005 .
[38] S Niroomandi,et al. Real‐time simulation of biological soft tissues: a PGD approach , 2013, International journal for numerical methods in biomedical engineering.
[39] Ye Lu,et al. Space–time POD based computational vademecums for parametric studies: application to thermo-mechanical problems , 2018, Adv. Model. Simul. Eng. Sci..
[40] P. Michaleris,et al. Optimization of thermal processes using an Eulerian formulation and application in laser surface hardening , 2000 .