Hyperspectral imaging approach for the identification of construction and demolition waste from earthquake sites

G. Bonifazi; S. Serranti; O. Trotta

doi:10.1117/12.2616152

14 November 2021 Hyperspectral imaging approach for the identification of construction and demolition waste from earthquake sites

G. Bonifazi, S. Serranti, O. Trotta

Author Affiliations +

Proceedings Volume 11914, SPIE Future Sensing Technologies 2021; 119141K (2021) https://doi.org/10.1117/12.2616152
Event: SPIE Future Sensing Technologies, 2021, Online Only

Conference Poster

Abstract

Earthquakes create significant volumes of rubbles and waste, strongly impacting the environment and posing serious health risks. In the last decade, earthquake occurred in several Italian areas, in particular the last sequence (Amatrice – Norcia, 2016-2017), still clearly visible in terms of destruction in the epicentral area, produced about 3 million tons of waste, mainly composed of Construction and Demolition Waste (CDW). Post-earthquake building waste is composed of heterogeneous materials, making difficult their separation and recovery as secondary raw materials. CDW recycling and reuse is of fundamental importance because it reduces the increase of landfilling, avoiding non-renewable raw materials exploitation and favoring circular economy. In this work, a sensor-based approach to classify different typologies of tile samples coming from buildings damaged by the Amatrice earthquake is proposed and investigated. Attention was focused on tiles, one of the most recycled masonry aggregates (RMA). This study presents a methodology based on a combination of two analytical techniques, HyperSpectral Imaging (HSI), working in the Short-Wave InfraRed (SWIR) range (1000-2500 nm), and micro-X-ray Fluorescence (micro-XRF), in order to discriminate different tile compositions and to detect the presence of cement mortar on the surface of the samples. The obtained results represent an important starting point to develop and introduce innovative strategies finalized to design, implement and set up automatic recognition and classification procedures of inert CDW fractions.

Conference Presentation

Citation Download Citation

G. Bonifazi, S. Serranti, and O. Trotta "Hyperspectral imaging approach for the identification of construction and demolition waste from earthquake sites", Proc. SPIE 11914, SPIE Future Sensing Technologies 2021, 119141K (14 November 2021); https://doi.org/10.1117/12.2616152

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available