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- W2357516730 abstract "In order to solve the problem that existing mixing theory cannot optimize various mechanical properties of asphalt mixtures,dozens of experiments in different mixture ratios were designed to test the main performance indexes of each experiment.The Marshall stability and flow values of the mixtures were studied with artificial neural network and the established 6-4-2 BP neural network model,the amount of asphalt binder,cement and four different sizes of ore were inputs,Marshall stability and flow values were outputs.The producing technology of asphalt mixture which mixed with asphalt binder,cement and four different sizes of ore was optimized.Finally,the better mixture ratio in ideal Marshall stability and flow values was obtained:C132%,16%C240,C322%,12%C436%,3.5%C7.5%,and O/S7%." @default.
- W2357516730 created "2016-06-24" @default.
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- W2357516730 date "2012-01-01" @default.
- W2357516730 modified "2023-09-23" @default.
- W2357516730 title "Design on Asphalt Mixture Ratio Based on Neural Networks" @default.
- W2357516730 hasPublicationYear "2012" @default.
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