quantification of coarse aggregate angularity by a newly developed auto grader machine

The physical properties of aggregates have a direct correlation to the performance of a pavement. Stiffness, fatigue response, shear resistance and permanent deformation are some of the distresses for which aggregate form, texture and angularity have an influence. Angularity is an important property...

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Main Authors: Rahimi, Zahra, Muniandy, Ratnasamy
Format: Article
Language:English
Published: Enviro Research Publishers 2016
Online Access:http://psasir.upm.edu.my/id/eprint/53713/
http://psasir.upm.edu.my/id/eprint/53713/1/Quantification%20of%20coarse%20aggregate%20angularity%20by%20a%20newly%20developed%20auto%20grader%20machine.pdf
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author Rahimi, Zahra
Muniandy, Ratnasamy
author_facet Rahimi, Zahra
Muniandy, Ratnasamy
author_sort Rahimi, Zahra
building UPM Institutional Repository
collection Online Access
description The physical properties of aggregates have a direct correlation to the performance of a pavement. Stiffness, fatigue response, shear resistance and permanent deformation are some of the distresses for which aggregate form, texture and angularity have an influence. Angularity is an important property of aggregate shape, more angular are the particles there will be better interlocking, inter friction and greater mechanical stability, hence better pavement distress resistance. A debate has a risen over several methods to capture this physical property either directly or indirectly such as aggregate imaging system (AIMS), Un compacted void content of coarse aggregate (AASHTO T326), University of Illinois Aggregate Image Analyzer (UIAIA) and Indian manual coarse aggregate angularity test. Some are costly some are laborious and time consuming; hence there is a need for better methods that are cost effective, accurate, rapid in measuring aggregate angularity. The research conducted in this study introduces cost effective Aggregate Auto-grader and evaluates the effective set of time and speed for this automated machine to obtain minimum percentage air voids between aggregates (estimation of perfect interlocking) by shaking sample of coarse aggregates in orbital motion. In addition to measure accuracy of automate Aggregate Auto-grader test results are compared to other manual coarse aggregate angularity test. The trend followed by results of aggregate Auto-grader is as same as the manual test, hence based on results a new equation is proposed for obtaining coarse aggregate angularity by Aggregate Auto-grade machine which has more accuracy, reputability and reproducibility compare to the manual test.
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spelling upm-537132018-01-10T05:46:43Z http://psasir.upm.edu.my/id/eprint/53713/ quantification of coarse aggregate angularity by a newly developed auto grader machine Rahimi, Zahra Muniandy, Ratnasamy The physical properties of aggregates have a direct correlation to the performance of a pavement. Stiffness, fatigue response, shear resistance and permanent deformation are some of the distresses for which aggregate form, texture and angularity have an influence. Angularity is an important property of aggregate shape, more angular are the particles there will be better interlocking, inter friction and greater mechanical stability, hence better pavement distress resistance. A debate has a risen over several methods to capture this physical property either directly or indirectly such as aggregate imaging system (AIMS), Un compacted void content of coarse aggregate (AASHTO T326), University of Illinois Aggregate Image Analyzer (UIAIA) and Indian manual coarse aggregate angularity test. Some are costly some are laborious and time consuming; hence there is a need for better methods that are cost effective, accurate, rapid in measuring aggregate angularity. The research conducted in this study introduces cost effective Aggregate Auto-grader and evaluates the effective set of time and speed for this automated machine to obtain minimum percentage air voids between aggregates (estimation of perfect interlocking) by shaking sample of coarse aggregates in orbital motion. In addition to measure accuracy of automate Aggregate Auto-grader test results are compared to other manual coarse aggregate angularity test. The trend followed by results of aggregate Auto-grader is as same as the manual test, hence based on results a new equation is proposed for obtaining coarse aggregate angularity by Aggregate Auto-grade machine which has more accuracy, reputability and reproducibility compare to the manual test. Enviro Research Publishers 2016 Article NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53713/1/Quantification%20of%20coarse%20aggregate%20angularity%20by%20a%20newly%20developed%20auto%20grader%20machine.pdf Rahimi, Zahra and Muniandy, Ratnasamy (2016) quantification of coarse aggregate angularity by a newly developed auto grader machine. Current World Environment, 11 (spec. 1). pp. 45-53. ISSN 0973-4929; ESSN: 2320-8031 http://www.cwejournal.org/vol11nospl-issue-july-2016/quantification-of-coarse-aggregate-angularity-by-a-newly-developed-auto-grader-machine/ 10.12944/CWE.11.Special-Issue1.07
spellingShingle Rahimi, Zahra
Muniandy, Ratnasamy
quantification of coarse aggregate angularity by a newly developed auto grader machine
title quantification of coarse aggregate angularity by a newly developed auto grader machine
title_full quantification of coarse aggregate angularity by a newly developed auto grader machine
title_fullStr quantification of coarse aggregate angularity by a newly developed auto grader machine
title_full_unstemmed quantification of coarse aggregate angularity by a newly developed auto grader machine
title_short quantification of coarse aggregate angularity by a newly developed auto grader machine
title_sort quantification of coarse aggregate angularity by a newly developed auto grader machine
url http://psasir.upm.edu.my/id/eprint/53713/
http://psasir.upm.edu.my/id/eprint/53713/
http://psasir.upm.edu.my/id/eprint/53713/
http://psasir.upm.edu.my/id/eprint/53713/1/Quantification%20of%20coarse%20aggregate%20angularity%20by%20a%20newly%20developed%20auto%20grader%20machine.pdf