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Angularity of fine aggregates using digital image technique and conventional approach

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dc.contributor.author Rajan, B
dc.contributor.author Singh, D
dc.contributor.author Garg, G
dc.contributor.editor Pasindu, HR
dc.date.accessioned 2022-09-13T06:00:59Z
dc.date.available 2022-09-13T06:00:59Z
dc.date.issued 2017-07
dc.identifier.citation ....********....... en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19057
dc.description.abstract Fine aggregates are one of prime constitute in asphalt mix design. However, the effect of fine a8SreSale morphology (angularity) on asphalt mixtures behaviour is well recognized in literature. For example, the excessive use of natural fine aggregates (less angular or rounded shape) over manufactured sand (angular shape) reduce shear strength of mixes and reflect premature rutting phenomena on asphalt pavements. In the other words, fine aggregate angularity largely influences particle packing behaviour and ultimately affects stability and mechanical performance of asphalt mixes. In the present scenario, the fine aggregate shape is characterized using two well-known approaches. The first is conventional approach defined by Strategic Highway Research Program (SHRP) in the early nineties. The conventional approach measure fine aggregate angularity (FAA) value as the percentage of air voids present in loosely compacted fine aggregates. The basic underlying principle is that the aggregate with more number of fractured faces will give higher air voids. However, Superpave system defined the minimum requirement of FAA is 45 for the use in high traffic pavements. The second approach uses computer automated Aggregate Image Measurement System (AIMS) to characterize fine aggregate shape. AIMS works on digital image technique and measure fine aggregate angularity in the range of 1 to 10000. In addition, it further classifies the angularity values in different ranges i.e. low or rounded (1 to 2100), moderate (2100-3975), high (3975-5400) and extreme or highly angular (5400-10000). The current study measure and compare angularity of four different sizes, namely FA1 (P2.36-R 1.18: passing through 2.36 mm and retaining on 1.18 mm sieve), FA2 (PI. 18- 0.600), FA3 (P0.600-R0.300) and FA4 (P0.300-R0.150) of basaltic type fine aggregates using digital image technique and conventional approach. Additionally, an Analysis of variance (ANOVA) statistical approach was used to study the effect of aggregate size on angularity. The result and analysis reveal that both approaches for angularity measurement were provided different ranking among aggregate sizes. Also, it is found that measured angularity from both approaches were showing a negative Pearson’s-correlation coefficient (r) 0.82, indicating strong negative correlation. The indirect measurement and associated higher subjectivity of FAA test method may be a probable cause for negative correlation with digital image technique approach. It is expected that the findings from the study will add strength to existing research repository. The study may also help over quality control of aggregates. Further, the study will pave the way to adoption of new technologies over conventional practices en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering en_US
dc.subject Fine Aggregates en_US
dc.subject Digital Image Technique en_US
dc.subject Aggregate Image Measurement System en_US
dc.title Angularity of fine aggregates using digital image technique and conventional approach en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2017 en_US
dc.identifier.conference International conference on Advances in Highway Engineering & Transportation Systems en_US
dc.identifier.place Negombo en_US
dc.identifier.pgnos p. 73-74 en_US
dc.identifier.proceeding Proceedings of Advances in Highway Engineering & Transportation Systems 2017 en_US


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