COncurrent METAmaterial-Structure design using functionally graded metamaterials

Risultati finali

WP3 mid-term results: Report on Preliminar studies on Machine Learning and Model Order Reduction techniques for FGMM

Preliminar studies on Machine Learning and Model Order Reduction techniques for FGMMSelection of techniques of Machine Learning and Model Order Reduction techniques to apply to metamaterials Preliminar examples Dissemination papers Some simple proofofconcept demonstrative codes Secondments Training

WP4 mid-term results: Algorithms for MM topology optimizations

Algorithms for MM topology optimizationsAlgorithms for MM cell topology optimization and functionally graded metamaterial layout Dissemination papers Secondments Training

WP1 mid-term results: Report on Material selection, 3D printed material and metameterial cells. Manufacturing and testing.

Report on Material selection 3D printed material and metameterial cells Manufacturing and testing Dissemination Communication Secondments Training

WP2 mid-term results: Report on formulations of crystal plasticity models and continuum-based models, and initial simulations

Formulations of crystal plasticity models and continuumbased models and initial simulations Includes dissemination papers

Media communication package (sites & channels)

Website including intranet of the website twitter channel Researchgate Youtube channel and Linkedin

Pubblicazioni

Self-learning locally-optimal hypertuning using maximum entropy, and comparison of machine learning approaches for estimating fatigue life in composite materials of the aerospace industry

Autori: Ismael Ben-Yelun, Miguel Díaz-Lago, Luis Saucedo-Mora, Miguel Ángel Sanz, Ricardo Callado, Francisco Javier Montáns
Pubblicato in: Engineering Structures, 2023, ISSN 0141-0296
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engstruct.2023.115829

Crossing Scales: Data-Driven Determination of the Micro-scale Behavior of Polymers From Non-homogeneous Tests at the Continuum-Scale

Autori: Víctor J. Amores1*, Francisco J. Montáns 1,2, Elías Cueto 3 and wFrancisco Chinesta 4
Pubblicato in: Sec. Computational Materials Science, 2022, ISSN 0927-0256
Editore: Elsevier BV
DOI: 10.3389/fmats.2022.879614

Topology optimization approach for functionally graded metamaterial components based on homogenization of mechanical variables.

Autori: Ben-Yelun, I., Saucedo-Mora, L., Sanz, M. Á., Benítez, J. M., & Montans, F. J.
Pubblicato in: Computers and Structures, Numero 289, 2023, Pagina/e 107151, ISSN 0045-7949
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compstruc.2023.107151

Biologically-inspired aerodynamic shape optimization for low Reynolds regimes

Autori: Guilhaumon C., Arias, J., Rodríguez-Sevillano, A.A. Saucedo-Mora, L., Montáns, F.J.
Pubblicato in: Results in Engineering, Numero 20, 2023, Pagina/e 101442, ISSN 2590-1230
Editore: Elsevier
DOI: 10.1016/j.rineng.2023.101442

A model for rubber-like materials with three parameters obtained from a tensile test

Autori: Víctor Jesús Amores; Laura Moreno; José María Benítez; Francisco Javier Montáns
Pubblicato in: European Journal of Mechanics A/Solids, Numero 1, 2023, ISSN 0997-7538
Editore: Elsevier BV
DOI: 10.1016/j.euromechsol.2023.104931

GAM: General Auxetic Metamaterial with Tunable 3D Auxetic Behavior Using the Same Unit Cell Boundary Connectivity

Autori: Ismael Ben-Yelun,Guillermo Gómez-Carano,Francisco J. San Millán, Miguel Ángel Sanz, Francisco Javier MontánS, and Luis Saucedo-Mora
Pubblicato in: Materials MDPI, 2023, ISSN 1996-1944
Editore: MDPI Open Access Publishing
DOI: 10.3390/ma16093473

The Updated Properties Model (UPM): A topology optimization algorithm for the creation of macro–micro optimized structures with variable stiffness

Autori: Luis Saucedo-Mora, Ismael Ben-Yelun, Hugo García-Modet, Miguel Ángel Sanz-Gómez, Francisco Javier Montáns
Pubblicato in: Finite Elements in Analysis and Design, 2023, ISSN 0168-874X
Editore: Elsevier BV
DOI: 10.1016/j.finel.2023.103970

Risultati finali

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