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Multivariate data analysis applied in Hot-Mix asphalt plants

Author

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  • Paranhos, Régis Sebben
  • Petter, Carlos Otávio

Abstract

A multivariate data analysis was used with environmental data obtained from Hot-Mix asphalt (HMA) plants. The main objectives of the study were to describe and interpret the real “phenomena” that exist on HMA plants; also, to search for the best mixing conditions, i.e. production with less energy consumption and less emissions. Another important objective was to identify means to allow HMA plants to be designed and operated in better ways. Along the study, an approach of the manufacturing process is presented, allowing for an overall comprehension of the plant's operation.

Suggested Citation

  • Paranhos, Régis Sebben & Petter, Carlos Otávio, 2013. "Multivariate data analysis applied in Hot-Mix asphalt plants," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 1-10.
    • Handle: RePEc:eee:recore:v:73:y:2013:i:c:p:1-10
    DOI: 10.1016/j.resconrec.2013.01.009
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    References listed on IDEAS

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    1. Jullien, Agnès & Monéron, Pierre & Quaranta, Gaetana & Gaillard, David, 2006. "Air emissions from pavement layers composed of varying rates of reclaimed asphalt," Resources, Conservation & Recycling, Elsevier, vol. 47(4), pages 356-374.
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    Cited by:

    1. Li, Bin & Ding, Li & Xu, Huanfei & Mu, Xindong & Wang, Haisong, 2017. "Multivariate data analysis applied in alkali-based pretreatment of corn stover," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 307-318.

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