Predictions of maximum dry density and optimum moisture content from simple material properties

A set of results of basic soil classification properties, particle size distribution, plasticity and corresponding compacted maximum dry density and optimum moisture content tests recorded on Australian soils was analysed to establish equations to predict the last two parameters from the classification data. A stepwise variable selection linear regression analysis gave the best results for the Australian data analysed. Models developed by other workers and a simplification of those models did not give a closer prediction for the Australian soil dataset.

• Authors:
  • Metcalf, J B
  • Romanoschi, S A
• Conference:
  • Road Engineering Association of Asia and Australasia (REAAA) Conference, 13th, 2009, Incheon, Korea
• Publication Date: 2009-9

Language

• English

Media Info

• Pagination: 7p
• Monograph Title: Future roads: safer, greener and smarter: proceedings 13th REAAA conference, 23-26 September 2009, Songdo Convensisa, Incheon, Korea

Subject/Index Terms

• TRT Terms: Base course (Pavements); Data analysis; Highway design; Moisture content; Soil groups
• Uncontrolled Terms: Road design and management
• Geographic Terms: Australia
• ATRI Terms: Data analysis; Moisture content; Road design; Roadbase; Soil classification
• Subject Areas: Geotechnology; Highways;

Filing Info

• Accession Number: 01381572
• Record Type: Publication
• Source Agency: ARRB
• Files: ATRI
• Created Date: Aug 22 2012 12:38PM