Data-Driven Bioinspired Design of Fatigue Super-Resistant Structures: learning by Nature and Flying into the future

Project Information

ButterFly

Grant agreement ID: 101093897

DOI

10.3030/101093897

EC signature date 24 April 2023

Start date 1 September 2023

End date 31 August 2028

Funded under

• European Research Council (ERC)

Total cost

€ 2 499 811,00

EU contribution

€ 2 499 811,00

Coordinated by

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (8)

Metal additive manufacturing of lattice-based orthopedic implants: A comprehensive review of requirements and design strategies

Author(s): Melika Babaei, Simone Murchio, Lorena Emanuelli, Raffaele De Biasi, Luigi Branca Vergano, Roberto Giuliani, Shuya Tian, Marie-Luise Wille, Filippo Berto, Massimo Pellizzari, Matteo Benedetti
Published in: Materials Science and Engineering: R: Reports, Issue 166, 2025, ISSN 0927-796X
Publisher: Elsevier BV
DOI: 10.1016/J.MSER.2025.101075

Predicting the mechanical behavior in FDM printing of biopolymers through boosting artificial neural networks

Author(s): M. Laurenti, I. Bavasso, E. Palazzi, J. Tirillò, F. Sarasini, F. Berto
Published in: Materials & Design, Issue 257, 2025, ISSN 0264-1275
Publisher: Elsevier BV
DOI: 10.1016/J.MATDES.2025.114475

Towards standardization of tensile testing for strut-based lattices using compensated beam modeling and strain-energy-based optimization

Author(s): Nikodmose Moges Gebre, Raffaele De Biasi, Domenico Antonio Rita, Ciro Santus, Lorenzo Romanelli, Paolo Neri, Matteo Perini, Filippo Berto, Matteo Benedetti
Published in: Materials & Design, Issue 258, 2025, ISSN 0264-1275
Publisher: Elsevier BV
DOI: 10.1016/J.MATDES.2025.114696

Methodologies developed for dataset preparation and the interpretability of machine learning algorithms used for the prediction of crack growth rate

Author(s): Danilo Antonello Renzo, Marcello Laurenti, Pietro Foti, Matteo Benedetti, Jacopo Tirillò, Filippo Berto
Published in: Results in Engineering, Issue 28, 2026, ISSN 2590-1230
Publisher: Elsevier BV
DOI: 10.1016/J.RINENG.2025.107516

Fatigue life prediction of multi jet fusion-manufactured polyamide12 lattice structures using the average strain energy density method

Author(s): Raffaele De Biasi, Lorenzo Romanelli, Ciro Santus, Matteo Perini, Filippo Berto, Matteo Benedetti
Published in: International Journal of Fatigue, Issue 206, 2026, ISSN 0142-1123
Publisher: Elsevier BV
DOI: 10.1016/J.IJFATIGUE.2025.109452

Compensated beam model for efficient and accurate FE elastic simulation of strut-based lattice structures

Author(s): Raffaele De Biasi, Mohammad Salman Yasin, Matteo Perini, Matteo Benedetti, Filippo Berto
Published in: Materials & Design, Issue 255, 2025, ISSN 0264-1275
Publisher: Elsevier BV
DOI: 10.1016/J.MATDES.2025.114213

Blunt and sharp notches: Revisiting the limit notch radius via the averaged SED method and validating it against a wide fatigue strength reduction database

Author(s): Pietro Foti, Michele Zappalorto, Filippo Berto
Published in: International Journal of Fatigue, Issue 207, 2026, ISSN 0142-1123
Publisher: Elsevier BV
DOI: 10.1016/J.IJFATIGUE.2026.109496

Fatigue and Fracture Behavior in Advanced Layer‐Level SS316L‐17‐4PH Multi‐Material Fabrication via Powder Bed Fusion—Laser Beam

Author(s): Vito Errico, Pietro Foti, Sabina Luisa Campanelli, Filippo Berto
Published in: Fatigue & Fracture of Engineering Materials & Structures, Issue 49, 2026, ISSN 8756-758X
Publisher: Wiley
DOI: 10.1111/FFE.70131