Skip to main content

Research Repository

Advanced Search

Outputs (2)

A novel machine learning-based approach for nonlinear analysis and in-situ assessment of masonry (2023)
Journal Article
Adaileh, A., Ghiassi, B., & Briganti, R. (2023). A novel machine learning-based approach for nonlinear analysis and in-situ assessment of masonry. Construction and Building Materials, 408, Article 133291. https://doi.org/10.1016/j.conbuildmat.2023.133291

Predicting the local and global mechanical response of masonry structures or estimating their in-situ properties are critical and challenging for the design or assessment of these structures. This article presents a fast prediction/assessment model,... Read More about A novel machine learning-based approach for nonlinear analysis and in-situ assessment of masonry.

Numerical validation of novel scaling laws for air–water flows including compressibility and heat transfer (2023)
Journal Article
Catucci, D., Briganti, R., & Heller, V. (2023). Numerical validation of novel scaling laws for air–water flows including compressibility and heat transfer. Journal of Hydraulic Research, 61(4), 517-531. https://doi.org/10.1080/00221686.2023.2225462

Air–water flows are among the most important flow types in hydraulic engineering. Their experimental modelling at reduced size using Froude scaling laws introduces scale effects. This study introduces novel scaling laws for compressible air–water flo... Read More about Numerical validation of novel scaling laws for air–water flows including compressibility and heat transfer.