Preprint · March 020 citations reads 277 5

International Journal for Numerical Methods in Engineering, 102:1111–1135, 2015.

44. 
    M Balajewicz and C Farhat. Reduction of nonlinear embedded boundary models for problems with evolving interfaces. Journal of Computational Physics, 274:489–504, 2014.
    

45. 
    J Lee and M Cho. An interpolation-based parametric reduced order model combined with component mode synthesis. Computer Methods in Applied Mechanics and Engineering, 319:258–286, 2017.
    
46. 
    C Farhat, P Avery, T Chapman, and J Cortial. Dimensional reduction on nonlinear finite element dynamic models with finite rotations and energy-based mesh sampling and weighting for computational efficiency. International Journal for Numerical Methods in Engineering, 98:625–662, 2014.
    
47. 
    B Peherstorfer and K Willcox. Online adaptive model reduction for nonlinear systems via low-rank updates. SIAM Journal of Scientific Computing, 37(4):2123–2150, 2015.
    
48. 
    K. Carlberg, C Bou-Mosleh, and C Farhat. Efficient non-linear model order reduction via a least squares petrov-galerkin projection and compressive tensor approximations. International Journal for Numerical Methods in Engineering, 86(2): 155–181, 2011.
    
49. 
    S. Chaturantabut and D.C. Sorensen. Nonlinear model order reduction via discrete empirical interpolation. SIAM Journal of Scientific Computing, 32(5):2737–2764, 2010.
    
50. 
    K. Carlberg, C Farhat, J Cortial, and D Amsallem. The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows. Journal of Computational Physics, 242(C):623–647, 2013.
    
51. 
    F. Ghavamian, P. Tiso, and A. Simone. POD-DEIM model order reduction for strain-softening viscoplasticity. Computer Methods in Applied Mechanics and Engineering, 317:458–479, 2017.
    
52. 
    F Negri, A Manzoni, and D Amsallem. Efficient model reduction of parametrized systems by matrix discrete empirical interpolation. Journal of Computational Physics, 303:431–454, 2015.
    
53. 
    G Dimitriu, R Stefanescu, and I M Navon. Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems. Journal of Computational and Applied Mathematics, 310:32–43, 2017.
    
54. 
    C Farhat, T Chapman, and P Avery. Structure-preserving, stability, and accuracy properties of the energy-conserving sampling and weighting method for the hyper reduction of nonlinear finite element dynamic models. International Journal for Numerical Methods in Engineering, 102:1077–1110, 2015.
    
55. 
    Y Zhang, A Combescue, and A Gravouil. Efficient hyper reduced-order model (HROM) for parametric studies of the 3D thermo-elasto-plastic calculation. Finite Elements in Analysis and Design, 102-103:37–51, 2015.
    
56. 
    R Peharz and F Pernkolf. Sparse nonnegative matrix factorization with l⁰-constraints. Neurocomputing, 80:38–46, 2012.
    
57. 
    R Bouc. Modèle mathèmatique d’hystèrèsis: application aux systèmes à un degrè de libertè. Acustica (in French), 24:16–25, 1971.
    
58. 
    J. Jonkman, S. Butterfield, W. Musial, and G. Scott. Definition of a 5-mw reference wind turbine for offshore system development. Technical report, National Renewable Energy Laboratory, Golden, Colorado USA, 2009.
    
59. 
    ABAQUs. Finite Element Analysis software. Dassault Systemes, Retrieved from http: // www. 3ds. com/ products-services/ simulia/ products/ abaqus , 2019.
    
60. 
    K-J Bathe and EN Dvorkin. A four-node plate bending element based on mindlin/reissner plate theory and a mixed interpolation.