An innovative strategy, based on micro X-ray fluorescence and HyperSpectral Imaging in the short wave infrared range (1000-2500 nm), was developed in order to characterize drill core samples collected from End-of-Life concrete. Micro X-ray fluorescence maps were realized to check the drill cores chemical composition, to develop the best approach for HSI analyses and to verify the correctness of the obtained HSI results. HSI analysis was carried out in order to recognize and classify aggregates and mortar paste in concrete. A morphological and morphometrical analysis of aggregates was also carried out on the prediction maps. Results showed as the proposed approach can be profitably applied to analyze and characterize demolition waste materials before dismantling. Starting from an efficient in-situ characterization of the objects to dismantle, demolition actions can be optimized in order to maximize the EOL concrete derived materials, minimizing the final waste.
Concrete drill core characterization finalized to optimal dismantling and aggregates recovery / Bonifazi, Giuseppe; Palmieri, Roberta; Serranti, Silvia. - In: WASTE MANAGEMENT. - ISSN 0956-053X. - STAMPA. - 60:(2017), pp. 301-310. [10.1016/j.wasman.2016.10.008]
Concrete drill core characterization finalized to optimal dismantling and aggregates recovery
BONIFAZI, Giuseppe;PALMIERI, ROBERTA;SERRANTI, Silvia
2017
Abstract
An innovative strategy, based on micro X-ray fluorescence and HyperSpectral Imaging in the short wave infrared range (1000-2500 nm), was developed in order to characterize drill core samples collected from End-of-Life concrete. Micro X-ray fluorescence maps were realized to check the drill cores chemical composition, to develop the best approach for HSI analyses and to verify the correctness of the obtained HSI results. HSI analysis was carried out in order to recognize and classify aggregates and mortar paste in concrete. A morphological and morphometrical analysis of aggregates was also carried out on the prediction maps. Results showed as the proposed approach can be profitably applied to analyze and characterize demolition waste materials before dismantling. Starting from an efficient in-situ characterization of the objects to dismantle, demolition actions can be optimized in order to maximize the EOL concrete derived materials, minimizing the final waste.File | Dimensione | Formato | |
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