EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 22 (2021) Mechanics & Industry, 22 (2021) 32 References
Open Access
Issue
Mechanics & Industry
Volume 22, 2021
Article Number 32
Number of page(s) 17
DOI https://doi.org/10.1051/meca/2021031
Published online 30 April 2021
  1. R. de Borst, Challenges in computational materials science: multiple scales, multi-physics and evolving discontinuities, Comput. Mater. Sci. 43, 1–15 (2008) [Google Scholar]
  2. F. Feyel, Multiscale FE2 elastoviscoplastic analysis of composite structures, Comput. Mater. Sci. 16, 344–354 (1999) [CrossRef] [Google Scholar]
  3. H. Lamari, A. Ammar, P. Cartraud, G. Legrain, F. Jacquemin, F. Chinesta, Routes for efficient computational homogenization of non-linear materials using the Proper Generalized Decomposition, Arch. Comput. Methods Eng. 17, 373–9 (2010) [Google Scholar]
  4. J. Yvonnet, D. Gonzalez, Q.-C. He, Numerically explicit potentials for the homogenization of nonlinear elastic heterogeneous materials, Comput. Methods Appl. Mech. Eng. 198, 2723–2737 (2009) [Google Scholar]
  5. M.G.D. Geers, V.G. Kouznetsova, W.A.M. Brekelmans, Multi-scale computational homogenization: trends and challenges. J. Comput. Appl. Math. in press, DOI: 10.1016/j.cam.2009.08.077 [Google Scholar]
  6. J. Backhans, A. Cedas, A finite element model of spot welds between non-congruent shell meshes Ñcalculation of stresses for fatigue life prediction. MSc thesis, Analysis report, 93841-2000-106, Volvo Car Corporation, Gothenburg, Sweden, 2000 [Google Scholar]
  7. W. Chen, X. Deng, Performance of shell elements in modelling spot-welded joints, Finite Elem. Anal. Des. 35, 41–57 (2000) [Google Scholar]
  8. H. Di Fant-Jaeckels, A. Galtier, Fatigue life prediction model for spot welded structures, in Fatiguedesign 1998 symp, vol. I. Espoo (Finland), May 1998 [Google Scholar]
  9. J. Fang, C. Hoff, B. Holman, F. Mueller, D. Wallerstein, Weld modelling with MSC. Nastran. In: 2nd MSC worldwide automotive user conf, Dearborn, MI, 2000 [Google Scholar]
  10. D. Heiserer, M. Charging, J. Sielaft, High performance, process oriented, weld spot approach, in 1st MSC worldwide automotive user conf, Munich, Germany, September 1999 [Google Scholar]
  11. K. Pal, D.L. Cronin, Static and dynamic characteristics of spot welded sheet metal beams, J. Eng. Ind. Trans ASME 117, 316–322 (1995) [Google Scholar]
  12. A. Rupp, K. Storzel, V. Grubisic, Computer aided dimensioning of spot-welded automotive structures, in SAE technical paper 950711, Int congress and exposition, Detroit (USA), 1995 [Google Scholar]
  13. P. Salvini, F. Vivio, V. Vullo, A spot weld finite element for structural modelling, Int. J. Fatigue 22, 645–56 (2000) [Google Scholar]
  14. F. Vivio, G. Ferrari, P. Salvini, V. Vullo, Enforcing of an analytical solution of spot welds into finite elements analysis for fatigue life estimation, Int. J. Comput. Appl. Technol. 15, 218–229 (2002) [Google Scholar]
  15. Y. Zhang, D. Taylor, Fatigue life prediction of spot welded components, in Proc of the seventh int fatigue conf, 8-12 June 1999, Beijing [Google Scholar]
  16. Y. Zhang, D. Taylor, Optimisation of spot-welded structures, Fin. Elem. Anal. Des. 37, 1013–1022 (2001) [Google Scholar]
  17. S. Zhang, Recovery of notch stress and stress intensity factors in finite element modelling of spot welds, in Proc. of Nafems world congress 99, Newport (USA), April 1999 [Google Scholar]
  18. H. Li, C.A. Duarte, A two-scale generalized finite element method for parallel simulations of spot welds in large structures, Comput. Methods Appl. Mech. Eng. 337, 28–65 (2018) [Google Scholar]
  19. V. Limousin, X. Delgerie, E. Leroy, R. Ibanez, C. Argerich, F. Daim, J.L. Duval, F. Chinesta, Advanced model order reduction and artificial intelligence techniques empowering advanced structural mechanics simulations, Application to crash test analyses. Mech. Ind. 20, 804 (2019) [Google Scholar]
  20. D. Borzacchiello, J.V. Aguado, F. Chinesta, Non-intrusive sparse subspace learning for parametrized problems, Arch. Comput. Methods Eng. 26, 303–326 (2019) [Google Scholar]
  21. F. Chinesta, A. Leygue, F. Bordeu, J.V. Aguado, E. Cueto, D. Gonzalez, I. Alfaro, A. Ammar, A. Huerta, Parametric PGD based computational vademecum for efficient design, optimization and control, Arch. Comput. Methods Eng. 20, 31–59 (2013) [Google Scholar]
  22. F. Chinesta, A. Huerta, G. Rozza, K. Willcox, Model Order Reduction. Chapter in the Encyclopedia of Computational Mechanics, Second Edition, E. Stein, R. de Borst & T. Hughes Edts, John Wiley & Sons, Ltd. (2015) [Google Scholar]
  23. R. Ibanez, E. Abisset-Chavanne, A. Ammar, D. Gonzalez, E. Cueto, A. Huerta, J.L. Duval, F. Chinesta, A multi-dimensional data-driven sparse identification technique: the sparse Proper Generalized Decomposition. Complexity 2018, Article ID 5608286 (2018) [Google Scholar]
  24. J.Garcia-Martinez, F.J. Herrada, L.K.H. Hermanns, A. Fraile, F.J. Montans, Parametric studies in computational dynamics: Selective modal re-orthogonalization versus model order reduction methods, Adv. Eng. Softw. 108, 24–36 (2017) [Google Scholar]
  25. A. Reille, N. Hascoet, C. Ghnatios, A. Ammar, E. Cueto, J.L. Duval, F. Chinesta, R. Keunings, Incremental dynamic mode decomposition: a reduced-model learner operating at the low-data limit, C. R. Mecanique 347, 780–792 (2019) [Google Scholar]
  26. P.J. Schmid, Dynamic mode decomposition of numerical and experimental data, J. Fluid Mech. 656, 5–28 (2010) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.