- Higher-order sensitivity analyses to understand the role of FE input parameters on the simulation of composites in progressive fracture tests. Dans: Composite Structures, v. 351 (janvier 2025). (2025):
- Bayesian parameter estimation for the inclusion of uncertainty in progressive damage simulation of composites. Dans: Composite Structures, v. 321 (octobre 2023). (2023):
- Objective and automated calibration of progressive damage models for finite element simulation of fiber reinforced composites. Dans: Composite Structures, v. 307 (mars 2023). (2023):
- (2022): Constitutive Material Model for the Compressive Behaviour of Engineered Bamboo. Dans: Buildings, v. 12, n. 9 (16 septembre 2022).
- Machine learning assisted characterisation and simulation of compressive damage in composite laminates. Dans: Composite Structures, v. 273 (octobre 2021). (2021):
- A practical approach for the non-local simulation of progressive damage in quasi-isotropic fibre-reinforced composite laminates. Dans: Composite Structures, v. 265 (juin 2021). (2021):
- Virtual Characterization of Nonlocal Continuum Damage Model Parameters using a High Fidelity Finite Element Model. Dans: Composite Structures, v. 256 (janvier 2021). (2021):
- Theory-guided machine learning for damage characterization of composites. Dans: Composite Structures, v. 246 (août 2020). (2020):
- A study of energy dissipating mechanisms in orthogonal cutting of UD-CFRP composites. Dans: Composite Structures, v. 220 (juillet 2019). (2019):
- Comparison of two progressive damage models for studying the notched behavior of composite laminates under tension. Dans: Composite Structures, v. 207 (janvier 2019). (2019):