Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures

Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures

The testing procedure in order to determine the precise mechanical testing results in Marshall design is very time consuming. Also, the physical properties of the asphalt samples are obtained by further calculations. Therefore if the researchers can obtain the stability and flow values of a standard...

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Bibliographic Details
Main Authors: Serkan Tapkın, Abdulkadir Çevik, Şenol Özcan
Format: Article
Language:English
Published: Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol) 2012-12-01
Series:Materials Research
Subjects:
Marshall design
static creep test
bitumen modification
polypropylene fibers
strain accumulation
artificial neural networks
closed form solutions
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000600007

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000600007

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