title: Quality assessment for recycling aggregates from construction and demolition waste: An image-based approach for particle size estimation.
abstract: The size distribution of aggregates has direct and important effects on fundamental properties of construction materials such as workability, strength and durability. The size distribution of aggregates from construction and demolition waste (C&D) is one of the parameters which determine the degree of recyclability and therefore the quality of such materials. Unfortunately, standard methods like sieving or laser diffraction can be either very time consuming (sieving) or possible only in laboratory conditions (laser diffraction). As an alternative we propose and evaluate the use of image analysis to estimate the size distribution of aggregates from C&D in a fast yet accurate manner. The effectiveness of the procedure was tested on aggregates generated by an existing C&D mechanical treatment plant. Experimental comparison with manual sieving showed agreement in the range 81-85%. The proposed technique demonstrated potential for being used on on-line systems within mechanical treatment plants of C&D.
authors.affiliation: LAR Laboratory, Università degli Studi di Perugia, Department of Engineering, Via G. Duranti, 93, 06125 Perugia, Italy. Electronic address: francesco.dimaria@unipg.it.
authors.forename: Francesco
authors.initials: F
authors.lastname: Di Maria
authors.affiliation: Università degli Studi di Perugia, Department of Engineering, Via G. Duranti, 93, 06125 Perugia, Italy. Electronic address: bianco@ieee.org.
authors.forename: Francesco
authors.initials: F
authors.lastname: Bianconi
authors.affiliation: LAR Laboratory, Università degli Studi di Perugia, Department of Engineering, Via G. Duranti, 93, 06125 Perugia, Italy. Electronic address: katemica@hotmail.it.
authors.forename: Caterina
authors.initials: C
authors.lastname: Micale
authors.affiliation: Università degli Studi di Perugia, Department of Engineering, Via G. Duranti, 93, 06125 Perugia, Italy. Electronic address: ste.baglioni@gmail.com.
authors.forename: Stefano
authors.initials: S
authors.lastname: Baglioni
authors.affiliation: Valle Umbra Servizi S.p.A., Via Busetti 38/40, 06049 Spoleto, Italy.
authors.forename: Moreno
authors.initials: M
authors.lastname: Marionni
mesh_terms: D003252:Construction Materials; D007091:Image Processing, Computer-Assisted; D007220:Industrial Waste / Q000032:analysis*; D009862:Online Systems; D010316:Particle Size; D059027:Recycling / Q000379:methods*; D018505:Waste Management / Q000379:methods
chemical_list: D007220:Industrial Waste
keywords: Construction and demolition waste; Image analysis; Particle size distribution; Texture