Research Updates
The research has so far produced the following outcomes:​
​
1) Galderisi, G., Iezzi, G., Bianchini, G., Paris, E., de Brito, J. (2022) Petrography of construction and demolition waste (CDW) from Abruzzo region (Central Italy). Waste Management, 137, 61-71.
LINK: https://doi.org/10.1016/j.wasman.2021.10.028
​
2) Bonifazi, G., Capobianco, G., Malinconico, S., Paglietti, F. (2022) Asbestos Detection in Construction and Demolition Waste Adopting Different Classification Approaches Based on Short Wave Infrared Hyperspectral Imaging. Detritus, 20, 90-99.
LINK: DOI 10.31025/2611-4135/2022.15211
​
3) Trotta, O., Bonifazi, G., Capobianco G., Serranti, S. (2022) Detection of Asbestos Containing Material in Post-Earthquake Building Waste Trough Hyperspectral Imaging and Micro-X Ray Fluorescence. Detritus, 21, 27-34.
LINK: DOI 10.31025/2611-4135/2022.17233
​
4) Galderisi, M., Bravo, G., Iezzi, G., Cruciani, G., Paris, E., de Brito, J. (2023). Physico-Mechanical Performances of Mortars Prepared with Sorted Earthquake Rubble: The Role of CDW Type and Contained Crystalline Phases. Materials, 16, 7, 2855.
LINK: https://doi.org/10.3390/ma16072855
​
5) Bisciotti, A., Jiang, D., Song, Y., & Cruciani, G. (2024). Estimating attached mortar paste on the surface of recycled aggregates based on deep learning and mineralogical models. Cleaner Materials, 11, 100215.
LINK: https://doi.org/10.1016/j.clema.2023.100215
​​
6) Radica, F., Casarin, A., Iezzi, G., Bravo, M., de Brito, J., Galderisi, A., Brando, G., Nazzari, M., Scarlato, P. (2024a). Cement vs aggregates and textures of aggregates in a mortar: Comparative image analysis methods and analytical protocols. Construction and Building Materials, 453, 139033.
LINK: https://doi.org/10.1016/j.conbuildmat.2024.139033
​​​
7) Radica, F., Iezzi, G., Trotta, O., Bonifazi, G., Serranti, S., de Brito, J. (2024b) Characterization of CDW types by NIR spectroscopy: Towards an automatic selection of recycled aggregates. Journal of Building Engineering, 88, 109005.
LINK: https://doi.org/10.1016/j.jobe.2024.109005
​​​
8) Bisciotti, A., Brombin, V., Song, Y., Bianchini, G., & Cruciani, G. (2025). Classification and predictive leaching risk assessment of construction and demolition waste using multivariate statistical and machine learning analyses. Waste Management, 196, 60–70.