Cross-scale concurrent material-structure design using functionally-graded 3D-printed matematerials.

Informazioni relative al progetto

XS-Meta

ID dell’accordo di sovvenzione: 956401

DOI

10.3030/956401

Progetto chiuso

Data della firma CE 5 Maggio 2021

Data di avvio 1 Settembre 2021

Data di completamento 31 Agosto 2025

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 720 679,56

Contributo UE

€ 3 720 679,56

Coordinato da

UNIVERSIDAD POLITECNICA DE MADRID
Spain

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

Web portal

Web portal Initial setup will be continuously updated

Pubblicazioni

Peer reviewed articles (27)

A two-scale computational homogenization approach for elastoplastic truss-based lattice structures

Autori: Hooman Danesh, Lisamarie Heußen, Francisco J. Montáns, Stefanie Reese, Tim Brepols
Pubblicato in: Results in Engineering, Numero 25, 2025, Pagina/e 103976, ISSN 2590-1230
Editore: Elsevier BV
DOI: 10.1016/j.rineng.2025.103976

Describing and Modeling Rough Composites Surfaces by Using Topological Data Analysis and Fractional Brownian Motion

Autori: Antoine Runacher, Mohammad-Javad Kazemzadeh-Parsi, Daniele Di Lorenzo, Victor Champaney, Nicolas Hascoet, Amine Ammar, Francisco Chinesta
Pubblicato in: Polymers, Numero 15, 2025, Pagina/e 1449, ISSN 2073-4360
Editore: MDPI AG
DOI: 10.3390/polym15061449

Physics informed and data-based augmented learning in structural health diagnosis

Autori: D. Di Lorenzo a, V. Champaney b, J.Y. Marzin c, C. Farhat d, F. Chinesta a b c
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 414, 2023, Pagina/e 116186, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2023.116186

Review of the Brain’s Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM)

Autori: Luis Irastorza-Valera, Edgar Soria-Gómez, José María Benitez, Francisco J. Montáns, Luis Saucedo-Mora
Pubblicato in: Biomimetics, Numero 9, 2025, Pagina/e 362, ISSN 2313-7673
Editore: MDPI AG
DOI: 10.3390/biomimetics9060362

A holistic study of the effect of geometrical and processing conditions on the static mechanical performance of LPBF strut elements

Autori: Massimiliano Casata, Sergio Perosanz, Conrado Garrido, Daniel Barba
Pubblicato in: Materials & Design, Numero 247, 2024, Pagina/e 113387, ISSN 0264-1275
Editore: Elsevier BV
DOI: 10.1016/j.matdes.2024.113387

Physics-informed and graph neural networks for enhanced inverse analysis

Autori: Daniele Di Lorenzo, Victor Champaney, Chady Ghnatios, Elias Cueto, Francisco Chinesta
Pubblicato in: Engineering Computations, 2024, ISSN 0264-4401
Editore: Emerald Group Publishing Ltd.
DOI: 10.1108/ec-12-2023-0958

Designing necks and wrinkles in inflated auxetic membranes

Autori: Sairam Pamulaparthi Venkata, Valentina Balbi, Michel Destrade, Giuseppe Zurlo
Pubblicato in: International Journal of Mechanical Sciences, Numero 268, 2024, Pagina/e 109031, ISSN 0020-7403
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ijmecsci.2024.109031

Effect of the building direction on the high-temperature mechanical properties of an IN738LC superalloy processed by laser-powder bed fusion

Autori: Jialiang Chen, Jinghao Xu, Johan Moverare, Luis A. Barrales-Mora
Pubblicato in: Materials Science and Engineering: A, Numero 909, 2024, Pagina/e 146756, ISSN 0921-5093
Editore: Elsevier BV
DOI: 10.1016/j.msea.2024.146756

NURBS-based shape parametrization enabling PGD-based space separability: Methodology and application

Autori: Mohammad-Javad Kazemzadeh-Parsi, Angelo Pasquale, Daniele Di Lorenzo, Victor Champaney, Amine Ammar, Francisco Chinesta
Pubblicato in: Finite Elements in Analysis and Design, Numero 227, 2023, Pagina/e 104022, ISSN 0168-874X
Editore: Elsevier BV
DOI: 10.1016/j.finel.2023.104022

Data Completion, Model Correction and Enrichment Based on Sparse Identification and Data Assimilation

Autori: Daniele Di Lorenzo, Victor Champaney, Claudia Germoso, Elias Cueto and Francisco Chinesta
Pubblicato in: Applied Science, Numero 20763417, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12157458

An alloy-agnostic machine learning framework for process mapping in laser powder bed fusion

Autori: Toby Wilkinson, Massimiliano Casata, Daniel Barba
Pubblicato in: Rapid Prototyping Journal, Numero 30, 2025, Pagina/e 303-324, ISSN 1355-2546
Editore: Emerald Group Publishing Ltd.
DOI: 10.1108/rpj-02-2024-0068

Challenges in two-scale computational homogenization of mechanical metamaterials

Autori: Hooman Danesh, Tim Brepols, Stefanie Reese
Pubblicato in: PAMM- Procedings in Applied Mathematics and Mechanics, Numero volume 23, issue 1, 2023, Pagina/e e202200139, ISSN 1617-7061
Editore: Wiley
DOI: 10.1002/pamm.202200139

FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design

Autori: Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta, Stefanie Reese, Tim Brepols
Pubblicato in: Materials & Design, Numero 248, 2024, Pagina/e 113491, ISSN 0264-1275
Editore: Elsevier BV
DOI: 10.1016/j.matdes.2024.113491

SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures

Autori: Ali Harandi, Hooman Danesh, Kevin Linka, Stefanie Reese, Shahed Rezaei
Pubblicato in: Journal of the Mechanics and Physics of Solids, Numero 203, 2025, Pagina/e 106219, ISSN 0022-5096
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jmps.2025.106219

Optimization of precharge placement in sheet molding compound process

Autori: Fariba Ebrahimian, Sebastian Rodriguez, Daniele Di Lorenzo, Francisco Chinesta
Pubblicato in: International Journal of Material Forming, Numero 17, 2024, ISSN 1960-6206
Editore: Springer-Verlag France
DOI: 10.1007/s12289-024-01836-w

On the data-driven description of lattice materials mechanics

Autori: Ismael Ben-Yelun, Luis Irastorza-Valera, Luis Saucedo-Mora, Francisco Javier Montáns, Francisco Chinesta
Pubblicato in: Results in Engineering, Numero 22, 2025, Pagina/e 102235, ISSN 2590-1230
Editore: Elsevier BV
DOI: 10.1016/j.rineng.2024.102235

Low-voltage dielectric elastomer actuators by electro-mechanical resonance syntonization

Autori: Sasan Rahmanian, Amin Alibakhshi, Hamza Mouharrar, José María Benitez, Francisco Javier Montáns
Pubblicato in: International Journal of Mechanical Sciences, Numero In press, available online, 2023, ISSN 0020-7403
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ijmecsci.2023.108758

The Semi-Penalized Updated Properties Model and Its Algorithm to Impose the Volume Fraction

Autori: Amin Alibakhshi, Luis Saucedo-Mora
Pubblicato in: Materials, Numero 18, 2025, Pagina/e 2972, ISSN 1996-1944
Editore: MDPI Open Access Publishing
DOI: 10.3390/ma18132972

An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates

Autori: Luis Irastorza-Valera, José María Benítez, Francisco J. Montáns, Luis Saucedo-Mora
Pubblicato in: Biomimetics, Numero 9, 2025, Pagina/e 101, ISSN 2313-7673
Editore: MDPI AG
DOI: 10.3390/biomimetics9020101

Optimal velocity planning based on the solution of the Euler-Lagrange equations with a neural network based velocity regression

Autori: Ghnatios, Chady; di Lorenzo, Daniele; Champaney, Víctor; Cueto, Elías; Chinesta, Francisco
Pubblicato in: Journal of Dynamical and Control Systems, Numero 1, 2023, ISSN 1573-8698
Editore: Journal of Dynamical and Control Systems
DOI: 10.3934/dcdss.2023080

Elastomeric Cavity Opto‐Mechanics: Low‐Power Soliton Frequency Combs

Autori: Sasan Rahmanian, Hamza Mouharrar, Amin Alibakhshi, Zeeshan Iqbal, Luis Saucedo‐Mora, Francisco Javier Montáns, Jan Awrejcewicz
Pubblicato in: Advanced Optical Materials, Numero 13, 2025, ISSN 2195-1071
Editore: Wiley
DOI: 10.1002/adom.202402031

A spatial statistics framework for detection of build defects in laser powder bed fusion using on-axis photodiode sensors

Autori: Toby Wilkinson, Paul Rendell, Daniel Barba, Callum Churchman
Pubblicato in: Progress in Additive Manufacturing, Numero 10, 2025, Pagina/e 8065-8085, ISSN 2363-9512
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s40964-025-01095-4

Optimal trajectory planning combining model-based and data-driven hybrid approaches

Autori: Chady Ghnatios, Daniele Di Lorenzo, Victor Champaney, Amine Ammar, Elias Cueto, Francisco Chinesta
Pubblicato in: Advanced Modeling and Simulation in Engineering Sciences, Numero 11, 2024, ISSN 2213-7467
Editore: Springer Science and Business Media LLC
DOI: 10.1186/s40323-024-00266-2

Programmable wrinkling for functionally-graded auxetic circular membranes

Autori: Sairam Pamulaparthi Venkata a, Valentina Balbi a, Michel Destrade a b, Dino Accoto c, Giuseppe Zurlo
Pubblicato in: Extreme Mechanics Letters, Numero Vol 63, Sep 2023, 2023, Pagina/e 102045, ISSN 2352-4316
Editore: Elsevier Limited
DOI: 10.1016/j.eml.2023.102045

Modeling systems from partial observations

Autori: Victor Champaney, Víctor J. Amores, Sevan Garois, Luis Irastorza-Valera, Chady Ghnatios, Francisco J. Montáns, Elías Cueto, Francisco Chinesta
Pubblicato in: Frontiers in Materials, Numero 9, 2022, ISSN 2296-8016
Editore: Frontiers Media SA
DOI: 10.3389/fmats.2022.970970

Effective properties of centro-symmetric micropolar composites with non-uniform imperfect contact conditions

Autori: V. Yanes a, Y. Espinosa-Almeyda b, R. Rodríguez-Ramos c d, C.F. Sánchez-Valdés b, F.J. Sabina e, F.J. Montans a f
Pubblicato in: European Journal of Mechanics - A/Solids, Numero Vol 101, 2023, ISSN 1873-7285
Editore: Elsvier
DOI: 10.1016/j.euromechsol.2023.105038

Damage identification technique by model enrichment for structural elastodynamic problems

Autori: D. Di Lorenzo, S. Rodriguez, V. Champaney, C. Germoso, M. Beringhier, F. Chinesta
Pubblicato in: Results in Engineering, Numero 23, 2025, Pagina/e 102389, ISSN 2590-1230
Editore: Elsevier BV
DOI: 10.1016/j.rineng.2024.102389

Conference proceedings (5)

The Influence of Unit Cell Design on the Mechanical Properties of Ti6Al4V Lattice Structures Fabricated via Laser Powder Bed Fusion

Autori: M. Casata, D. Patil, D. Barba
Pubblicato in: Civil-Comp Conferences, Proceedings of the Fifteenth International Conference on Computational Structures Technology, Numero 9, 2024, Pagina/e 1-11
Editore: Civil-Comp Press
DOI: 10.4203/ccc.9.2.3

Topology Optimization of Strain Energy Constrained 2D Elasto-Plastic Truss

Autori: H. Shi, F.J. Montans Leal
Pubblicato in: Civil-Comp Conferences, Proceedings of the Fifteenth International Conference on Computational Structures Technology, Numero 9, 2024, Pagina/e 1-10
Editore: Civil-Comp Press
DOI: 10.4203/ccc.9.4.3

Computational Procedure for Finite Element Analysis of Functionally Graded Metamaterials

Autori: V.H. Yanes Francisco, F.J. Montans Leal
Pubblicato in: Civil-Comp Conferences, Proceedings of the Fifteenth International Conference on Computational Structures Technology, Numero 9, 2024, Pagina/e 1-13
Editore: Civil-Comp Press
DOI: 10.4203/ccc.9.2.1

Damage-Based Criteria for the Combination of Offset Probabilistic Temporal Loads in Topological Optimization Designs

Autori: L. Irastorza-Valera, L. Saucedo-Mora, F. Chinesta, F.J. Montans Leal
Pubblicato in: Civil-Comp Conferences, Proceedings of the Fifteenth International Conference on Computational Structures Technology, Numero 9, 2024, Pagina/e 1-14
Editore: Civil-Comp Press
DOI: 10.4203/ccc.9.2.2

Correlating Porosity and Photodiode Response in LPBF Manufactured Samples using Spatial Statistics

Autori: T. Wilkinson, C. Churchman, D. Beer, B. Koe, D. Barba
Pubblicato in: Civil-Comp Conferences, Proceedings of the Fifteenth International Conference on Computational Structures Technology, Numero 9, 2024, Pagina/e 1-14
Editore: Civil-Comp Press
DOI: 10.4203/ccc.9.2.4

Book chapters (1)

Automatic Process Mapping for Ti64 Single Tracks in Laser Powder Bed Fusion

Autori: Toby Wilkinson, Massimiliano Casata, Daniel Barba
Pubblicato in: The Minerals, Metals & Materials Series, Materials Processing Fundamentals 2023, 2023, Pagina/e 199-209
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-22657-1_17