Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic

dc.creator	Serin, Sercan
dc.creator	Morova, Nihat
dc.creator	SALTAN, Mehmet
dc.creator	TERZİ, Serdal
dc.creator	Karasahin, Mustafa
dc.date	2013-12-31T22:00:00Z
dc.date.accessioned	2020-10-06T09:48:53Z
dc.date.available	2020-10-06T09:48:53Z
dc.identifier	4380063e-631f-414a-93eb-6c9e4de82aff
dc.identifier	10.3233/ifs-130873
dc.identifier	https://avesis.sdu.edu.tr/publication/details/4380063e-631f-414a-93eb-6c9e4de82aff/oai
dc.identifier.uri	http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/58622
dc.description	In this study, Marshall Stability (MS) of steel fiber reinforced asphalt concrete has been predicted using steel fiber rate (0%, 0.25%, 0.50%, 0.75%, 1.0%, 1.5%, 2.0% and 2.5%), bitumen content (5%, 5.5% and 6.0%) and unit weights (2,465- 2,515 (gr/cm(3))) by Fuzzy Logic (FL). Results have shown that developed FL model has a strong potential for predicting the MS of asphalt concrete without performing any experimental studies.
dc.language	eng
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic
dc.type	info:eu-repo/semantics/article

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