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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1016/j.wasman.2015.12.005
|2 doi
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|a DE-627
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|a eng
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|a Di Maria, Francesco
|e verfasserin
|4 aut
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|a Quality assessment for recycling aggregates from construction and demolition waste
|b An image-based approach for particle size estimation
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|c 2016
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 06.10.2016
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|a Date Revised 24.09.2017
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2015 Elsevier Ltd. All rights reserved.
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|a 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
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Construction and demolition waste
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|a Image analysis
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|a Particle size distribution
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|a Texture
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|a Industrial Waste
|2 NLM
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|a Bianconi, Francesco
|e verfasserin
|4 aut
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|a Micale, Caterina
|e verfasserin
|4 aut
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|a Baglioni, Stefano
|e verfasserin
|4 aut
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|a Marionni, Moreno
|e verfasserin
|4 aut
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|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 48(2016) vom: 23. Feb., Seite 344-352
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnns
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|g volume:48
|g year:2016
|g day:23
|g month:02
|g pages:344-352
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|u http://dx.doi.org/10.1016/j.wasman.2015.12.005
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