Mechanics & Industry
Volume 25, 2024
High fidelity models for control and optimization
Article Number 3
Number of page(s) 9
Published online 30 January 2024
  1. S. Morville, V. Bruyère, P. Namy, Free surface deformation of the melt pool in orbital narrow gap GTA welding, Comsol Conference, 2018 [Google Scholar]
  2. S. Morville, Y. Le Guennec, Contribution de la simulation à la définition d'un mode opératoire: simulation multiphysique d'un procédé de soudage TIG, Proceeding of CFM, Nantes, 2022 [Google Scholar]
  3. C.R. Vogel, Computational Methods for inverse problems. Society for Industrial and Applied Mathematics, 2002 [Google Scholar]
  4. A.B. Murphy, Y.H. Kim, D. Gunasegaram, P.W. Cleary, F.F. Chen, D.G. Thomas, Coupled computational models of the arc plasma and the metal in wire-arc additive manufacturing, 7th Asia-Pacific Conference on Plasma Physics, 2023 [Google Scholar]
  5. A. Papacharalampopoulos, P. Stravropoulos, D. Petrides, Towards a digital twin for manufacturing processes: applicability on laser welding, 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 2019 [Google Scholar]
  6. G. Casalino, F. Facchini, M. Mortello, G. Mummolo, ANN modelling to optimize manufacturing process: the case of laser welding, IFAC-PapersOnLine, 2016 [Google Scholar]
  7. A. Papacharalampopoulos, K. Sabatakakis, P. Stavropoulos, Incorporating process physics phenomena in formation of digital twins: laser welding case. [Google Scholar]
  8. R.J. Guyan, Reduction of stiffness and mass matrices, AIAA.J. 3, 380–380 (1965) [Google Scholar]
  9. R.R. Craig, M.C. Bampton, Coupling of substructures for dynamic analyses, F AIAA. J. 6, 1313–1319 (1968) [Google Scholar]
  10. M.D. Graham, I.G. Kevrekidis, Alternative approaches to the Karhunen-Loeve decomposition for model reduction and data analysis, Comput. Chem. Eng. 20, 495–506 (1996) [Google Scholar]
  11. A. Chatterjee, An introduction to the proper orthogonal decomposition, Curr. Sci. 78, 808–817 (2000) [Google Scholar]
  12. D. González, J.V. Aguado, E. Cueto, E. Abisset-Chavanne, F. Chinesta, kPCA-based parametric solutions within the PGD framework, Arch. Comput. Methods Eng. 25, 69–86 (2018) [Google Scholar]
  13. M. Barrault, Y. Maday, N.C. Nguyen, A.T. Patera, An “empirical interpolation” method: application to efficient reduced-basis discretization of partial differential equations, Comptes Rendus Math. 339, 667–672 (2004) [Google Scholar]
  14. D. Ryckelynck, F. Chinesta, E. Cueto, A. Ammar, On the a priori model reduction: overview and recent developments, Arch. Comput. Methods Eng. 13, 91–128 (2006) [Google Scholar]
  15. Y. Lu, N. Blal, A. Gravouil, Multi-parametric space-time computational vademecum for parametric studies: application to real time welding simulations, Finite Elem. Anal. Des. 139, 62–72 (2018) [Google Scholar]
  16. Y. Lu, N. Blal, A. Gravouil, Space-time POD based computational vademecums for parametric studies: application to thermo-mechanical problems, Adv. Model. Simul. Eng. Sci. 5 (2018) [Google Scholar]
  17. T. Dinh Trong, D. Ryckelynck, M. Abbas, S. Hendili, Directional hyper-reduced model for evaluation of residual welding stresses in code_aster, MoRePaS conference, 2018 [Google Scholar]
  18. T. Dinh Trong, D. Ryckelynck, S. Hendili, M. Abbas, Modèle hyper-réduit directionnel pour la prévision simplifiée des contraintes résiduelles de soudage, 13ème Colloque National en Calcul des Structures, 2017 [Google Scholar]
  19. J.M. Emery, R.V. Field, Jr.,J.W. Foulk III, K.N. Karlson, M.D. Grigoriu, Predicting laser weld reliability with stochastic reduced-order models, Int. J. Numer. Methods Eng. 103, 914–936 (2015) [Google Scholar]
  20. Y. Le Guennec, J.P. Brunet, F.Z. Daim, M. Chau, Y. Tourbier, A parametric and non-intrusive reduced order model of car crash simulation, CMAME 338, 186–207 (2018) [Google Scholar]
  21. E. Gstalter, S. Assou, Y. Tourbier, F. De Vuyst, Toward new methods for optimization study in automotive industry including recent reduction techniques, Adv. Model. Simul. Eng. Sci. 7, (2020) [Google Scholar]
  22. T. Peret, Y. Le Guennec, Pocketing design of stamped metal sheet using reduced order modelling, Procedia Manuf. 47, 665–672 (2020) [Google Scholar]
  23. B.Y. Mirghani, E.M. Zechman, R.S. Ranjithan, G. Mahinthakumar, Enhanced simulation-optimization approach using surrogate modeling for solving inverse problems, Environ. Forensics 13, 348–363 (2012) [Google Scholar]
  24. N. Mitrovic, M. Tayyab Asif, U. Rasheed, J. Dauwels, P. Jaillet, CUR decomposition for compressions and compressed sensing of large-scale traffic data, Proceedings of 16th International IEEE Conference on Intelligent Transportation Systems, 2013 [Google Scholar]
  25. D. Sculley, Web Scale K-Means clustering, Proceedings of the 19th International Conference on Worldwide Web, 2010 [Google Scholar]
  26. B. Settles, Active Learning Literature Survey, Computer Sciences Technical Report of University of Wisconsin-Madison, 2010 [Google Scholar]
  27. M.J. Rentmeesters, W.K. Tsai, K.J. Lin, A theory of lexicographic multi-criteria optimization, Proceedings of F ICECCS, 1996 [Google Scholar]
  28. S.G. Johnson, The NLopt nonlinear-optimization package, [Google Scholar]
  29. Y.D. Sergeyev, D.L. Markin, An algorithm for solving global optimization problems with nonlinear constraints, J. Global Optim 7, 407–419 (1995) [Google Scholar]
  30. D.R. Jones, M. Schonlau, W.J. Welch, Efficient global optimization of expensive black-box functions, J. Global Optim. 13, 455–492 (1998) [Google Scholar]
  31. S. Assou, Y. Tourbier, E. Gstalter, M. Charrier, O. Dessombz, L. Jézéquel, A reduced model using random forest: application on car crash optimization, SeMA J. 78, 193–212 (2021) [Google Scholar]
  32. L. Von Rueden, S. Mayer, R. Sifa, C. Bauckhage, J. Garcke, Combining machine learning and simulation to a hybrid modelling approach: current and future directions. In: International Symposium on Intelligent Data Analysis, 2020 [Google Scholar]

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