Multivariate data analysis applied in Hot-Mix asphalt plants

Régis Sebben Paranhos and Carlos Otávio Petter

Resources, Conservation & Recycling, 2013, vol. 73, issue C, 1-10

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.

Keywords: Hot-Mix asphalt; Drum Mixer process; Multivariate data analysis; Emissions (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921344913000189
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:recore:v:73:y:2013:i:c:p:1-10

DOI: 10.1016/j.resconrec.2013.01.009

Access Statistics for this article

Resources, Conservation & Recycling is currently edited by Ming Xu

More articles in Resources, Conservation & Recycling from Elsevier
Bibliographic data for series maintained by Kai Meng ().