Characterization of soil mixed with garnet waste for road shoulder

This paper presents the finding of the characterization of soil mixed with garnet waste for road shoulder. Road shoulder at local road nowadays has insufficient compaction due to local settlement and further compaction by parked vehicles. Garnet waste is one the industrial waste that getting bulkier...

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Bibliographic Details
Main Author: Mior Sani, Wan Noor Hin
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/79081/1/WanNoorHinMFKA2017.pdf
http://eprints.utm.my/id/eprint/79081/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:109568
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Summary:This paper presents the finding of the characterization of soil mixed with garnet waste for road shoulder. Road shoulder at local road nowadays has insufficient compaction due to local settlement and further compaction by parked vehicles. Garnet waste is one the industrial waste that getting bulkier and it is the idea to reduce and reuse the waste. The research aims to determine the materials properties for soil and garnet waste, to determine the moisture content of materials and degree of compaction and also to propose the maximum percentage of mix proportion under California Bearing Ratio (CBR) test for road shoulder. Material properties testing are sieve analysis, Atterberg limit and chemical composition. Compaction test in the mixed proportion of 100% soil, 100% garnet waste, 2S8G, 4S6G, 6S4G and 8S2G were got the Optimum Moisture Content (OMC) between 8-20% and Maximum Dry Density (MDD) between 1.74-2.56 Mg/m3. From OMC desired, CBR test was conducted and the optimum value of 40% added percentage of garnet waste can be used as the mix proportion for road shoulder construction. The addition of garnet waste content tends to increase MDD and the fineness modulus also influence the degree of compaction. The results obtained that garnet waste has a good potential as road shoulder in the percentage of 40% and above for mixed proportion with soil. The regression value of R2 was 0.86 and 0.96 for CBR and MDD, respectively derived to predict the real CBR and MDD during real road construction using the garnet waste content.