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High performance reduced order modeling techniques based on optimal energy quadrature: application to geometrically non-linear multiscale inelastic material modeling

Author
Caicedo, M.; Mroginski, J.; Toro, S.; Raschi, M.; Huespe, A.; Oliver, J.
Type of activity
Journal article
Journal
Archives of computational methods in engineering
Date of publication
2018-02
First page
1
Last page
22
DOI
https://doi.org/10.1007/s11831-018-9258-3 Open in new window
Project funding
COMP-DES-MAT (Advanced tools for computational design of engineering materials)
Repository
http://hdl.handle.net/2117/114852 Open in new window
https://www.researchgate.net/publication/323249277_High_Performance_Reduced_Order_Modeling_Techniques_Based_on_Optimal_Energy_Quadrature_Application_to_Geometrically_Non-linear_Multiscale_Inelastic_Material_Modeling Open in new window
URL
https://link.springer.com/article/10.1007/s11831-018-9258-3 Open in new window
Abstract
A High-Performance Reduced-Order Model (HPROM) technique, previously presented by the authors in the context of hierarchical multiscale models for non linear-materials undergoing infinitesimal strains, is generalized to deal with large deformation elasto-plastic problems. The proposed HPROM technique uses a Proper Orthogonal Decomposition procedure to build a reduced basis of the primary kinematical variable of the micro-scale problem, defined in terms of the micro-deformation gradient fluctuati...
Citation
Caicedo, M., Mroginski, J., Toro, S., Raschi, M., Huespe, A., Oliver, J. High performance reduced order modeling techniques based on optimal energy quadrature: application to geometrically non-linear multiscale inelastic material modeling. "Archives of computational methods in engineering", Febrer 2018, p. 1-22.
Keywords
COMP-DES-MAT Project, COMPDESMAT Project, Computational Homogenization, High-Performance Reduced Order Modeling (HPROM), Multiscale Modeling, Reduced Order Quadrature (ROQ)
Group of research
(MC)2 - UPC Computational continuum mechanics
RMEE - Strength of Materials and Structural Engineering Research Group

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