Prediction of mechanical properties of polypropylene/waste ground rubber tire powder treated by bitumen composites via uniform design and artificial neural networks

Materials and Design

Volumn 31, Issue 4, 2010, Pages 1900-1905

  Zhang, Shu Ling ^a,b   Zhang, Zhen Xiu ^a   Xin, Zhen Xiang ^a,c   Pal, Kaushik ^a   Kim, Jin Kuk ^a  

^a Gyeongsang National University   (South Korea)

^b JILIN UNIVERSITY   (China)

^c QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Composites; Mechanical properties; Polypropylene (PP); Recycling; Waste ground rubber tire powder

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPOSITES; CONCENTRATION OF; CONTOUR PLOT; GROUND RUBBERS; HYBRID ARTIFICIAL NEURAL NETWORK; OPTIMUM RATIO; PREDICTION OF MECHANICAL PROPERTIES; RECYCLING WASTES; SEBS-G-MA; STYRENE ETHYLENE BUTYLENE STYRENES; TIRE POWDER; UNIFORM DESIGN; UNIFORM DESIGN METHOD; WASTE GROUND RUBBER TIRE POWDER;

BACKPROPAGATION; BITUMINOUS MATERIALS; BOND (MASONRY); BUTENES; DESIGN OF EXPERIMENTS; ETHYLENE; MALEIC ANHYDRIDE; NEURAL NETWORKS; PLASTIC PRODUCTS; POLYPROPYLENES; PUMPING PLANTS; RECYCLING; RUBBER; STYRENE; THERMOPLASTICS; TIRES; WHEELS;

MECHANICAL PROPERTIES;

EID: 72749099742     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2009.10.057     Document Type: Article

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