Publications

Upcoming events:

2025

1. L. Wu and L. Noels, 
   Interaction-Based Stochastic Deep Material Networks for stochastic and damaging composite materials, 
   10th ECCOMAS Thematic Conference on the Mechanical Response of Composites (Composites 2025), 9-11 September 2025, Vienna, Austria​

2. L. Noels 
   AI and data-driven methods for multi-scale composite analysis (Plenary), 
   10th ECCOMAS Thematic Conference on the Mechanical Response of Composites (Composites 2025), 9-11 September 2025, Vienna, Austria​

3. L. Wu and L. Noels, 
   Interaction-Based Deep Material Network Architecture for Damage Multi-Scale Simulations, 
   18th International Conference on Computational Plasticity (COMPLAS 2025), 2-5 September 2025, Barcelona, Spain​

4. Erdem Dinler, Igor A. Rodrigues Lopes, Carolina Furtado, Pedro P. Camanho, 
   Data-Driven Fracture Characterization of Composites: A Non-Black-Box Approach. 
   8th International Conference on Computational Modelling of Fracture and Failure of Materials and Structures (CFRAC 2025), 4-6 June 2025, Porto, Portugal​

5. Erdem Dinler, Igor A. Rodrigues Lopes, Carolina Furtado, Pedro P. Camanho, 
   Unveiling Interrelations among Mechanical Properties of Polymer Composites. 8th International Conference on Computational Modelling of Fracture and Failure of Materials and Structures (CFRAC 2025), 4-6 June 2025, Porto, Portugal
    

6. João Esteves, Igor A. Rodrigues Lopes, Carolina Furtado, João Ferreira, Erdem Dinler, Gerard Guillamet, Pedro P. Camanho, 
   Generation of databases of anisotropic strength values from fibre-reinforced composites microstructures with high-performance-computing. 
   8th International Conference on Computational Modelling of Fracture and Failure of Materials and Structures (CFRAC 2025), 4-6 June 2025, Porto, Portugal​

7. C. Anglade, L. Wu and L. Noels, 
   Damage multi-scale simulations with a machine learning based surrogate. 
   8th International Conference on Computational Modelling of Fracture and Failure of Materials and Structures (CFRAC 2025), 4-6 June 2025, Porto, Portugal

8. L.Noels, C. Anglade, L. Wu, 
   Self-consistency Reinforced Recurrent Neural Networks acting as surrogates of high-nonlinear composite responses in multi-scale simulations, 
   8th International Conference on Computational Modelling of Fracture and Failure of Materials and Structures (CFRAC 2025), 4-6 June 2025, Porto, Portugal​

9. L. Wu and L. Noels, 
   Stochastic Deep Material Networks as Efficient Surrogates for Composites & Deep Material Networks performance for damaging processes. 
   8th International Conference on Computational Modelling of Fracture and Failure of Materials and Structures (CFRAC 2025) – 4-6 June 2025, Porto, Portugal

Past events & publications: 

Here is a list of the current publications related to the DIDEAROT project:

Articles

1. Ling Wu, Ludovic Noels,
   Self-consistency Reinforced minimal Gated Recurrent Unit for surrogate modeling of history-dependent non-linear problems: Application to history-dependent homogenized response of heterogeneous materials,
   Computer Methods in Applied Mechanics and Engineering, Volume 424, 2024, 116881, ISSN 0045-7825
   doi:10.1016/j.cma.2024.116881
   
   Open Access: http://dx.doi.org/10.2139/ssrn.4659520
   Data: https://doi.org/10.5281/zenodo.10551272
    
2. Erdem Dinler, Igor A. Rodrigues Lopes, Carolina Furtado and Pedro P. Camanho,
   Unveiling Interrelations among Material Properties of Polymer Composite Laminates

3. Ling Wu, Ludovic Noels, 
   Stochastic Deep Material Networks as Efficient Surrogates for Stochastic Homogenisation of Non-linear Heterogeneous Materials,
   Submitted, open access: https://dx.doi.org/10.2139/ssrn.5137186 ​
    

Conference papers

2023

1. Igor Rodrigues Lopes, Paulo Gonçalves, Federico Danzi, Albertino Arteiro, Francisco Andrade Pires, Pedro Camanho, 
   Formulation and calibration of a visco-elasto-plastic-damage constitutive model for fibre-reinforced polymers, 
   COMPLAS 2023, 5-7 September 2023, Barcelona, Spain​

2. Igor Rodrigues Lopes, Federico Danzi, Albertino Arteiro, Francisco Andrade Pires, Pedro Camanho, 
   A finite strain approach to model intralaminar failure mechanisms in fibre reinforced polymers, 
   Composites 2023, 12-14 September 2023, Trapani, Sicily, Italy ​

3. A. Pérez-Márquez, J. Maudes, L. Bilbao, C. Vaquero, J. Gayoso, O. Echeverria, A. De la Calle, I. Harismend, 
   Monitoring and control of thermoset and thermoplastic laminates by integration of printed sensors, 
   XV National Congress of Composite Materials, 13-15 July 2023, Gijón, Spain

2024

1. Luís Rodrigues, Carolina Furtado, João Ferreira, Igor A. Rodrigues Lopes, João Esteves, Federico Danzi
   Machine Learning-Accelerated Predictions of Design Allowables of Composite Laminates
   MadeAI 2024 – Modelling, Data Analytics and AI in Engineering 2–5 July 2024, Porto, Portugal
    
2. Igor A. Rodrigues Lopes, Nathan Klavzer, Carolina Furtado, Francisco M. Andrade Pires, Pedro P. Camanho and Thomas Pardoen
   Strain-gradient-plasticity for epoxy resins in micro-scale models of fibre-reinforced composites
   Congress on Numerical Methods in Engineering, 4-6 September 2024, University of Aveiro, Portugal
    
3. Igor A. Rodrigues Lopes, Nathan Klavzer, Carolina Furtado, Francisco M. Andrade Pires, Pedro P. Camanho and Thomas Pardoen
   Micro-scale models of unidirectional fibre-reinforced composites accounting for strain gradients in the epoxy resin
   European Conference on Composite Materials, Nantes, France
    
4. Igor Rodrigues Lopes, Nathan Klavzer, Carolina Furtado, Francisco M. Andrade Pires, Pedro P. Camanho, Thomas Pardoen,
   Modelling the microscopic behaviour of fibre-reinforced composites with strain gradient plasticity,
   ECCOMAS Congress 2024, 3 – 7 June 2024, Lisbon, Portugal
    
5. Carolina Furtado et al.,
   Machine Learning-Accelerated Predictions of Design Allowable of Composite Laminates,
   ECCOMAS Congress 2024, 3 – 7 June 2024, Lisbon, Portugal
    
6. Erdem Dinler, Igor A. Rodrigues Lopes Carolina Furtado and Pedro P. Camanho,
   Fast Estimation of intralaminar fracture properties and shear hardening law for fibre-reinforced composites,
   ECCOMAS Congress 2024, 3 – 7 June 2024, Lisbon, Portugal
    
7. Erdem Dinler, Igor A. Rodrigues Lopes Carolina Furtado and Pedro P. Camanho,
   Reduced Order Model Implementation for Intralaminar Failure in Composite Structures
   21st European Conference on Composite Materials, Nantes, France

8. M. Murua and R. Santana. 
   Branching strategies for solving routing problems to 3D design in manufacturing. 
   Data Learning and Optimization Congress (OR2024), 3-6 Sept 2024. Munich, Germany​

9. Ana Perez-Marquez, Mildred Puerto-Coy, Pablo Casado, Julen Mendikute, Functional printing for main distorsion points in cured composite parts, XXXIX Conference on Design of Circuits and Integrated Systems, DCIS2024, 13-15 November 2024, Catania, Italy​

10. Ling Wu and Ludovic Noels
    Self-consistency Reinforced Recurrent Neural Networks to accelerate visoelasto-viscoplastic multi-scale problems
    Advances in Applied Mechanics Conference - JANUARY 5-9, 2025,  Meloneras, Spain

Presentations

1. D. Dumas, I. Lepot
   Design Strategies Using Hybrid Models for Manufacturing and Vulnerability of Composite Structures
   ECCOMAS CM3 - TRANSPORT 2023, 15-17 May 2023, Jyväskylä, Finland
    
2. D. Dumas, S. Zein, T. Benamara and I Lepot, 
   Hybrid high-fidelity & machine learning strategies in design for manufacturing and vulnerability of composites structures in aviation
   14th EASN International Conference, October 8th to 11th, 2024, Thessaloniki, Greece