QUANTITATIVE STUDY OF BITUMINOUS MATERIALS MICROSTRUCTURE BY DIGITAL IMAGE ANALYSIS

The objective of this paper is to develop a quantitative characterisation of grading curves by the use of image analysis. Usually, survey methods are based on the use of chemical solvents or ignition to separate the mineral phase and the organic phase. Actually, laboratories mostly use these methods over the world to determine composition of bituminous mixes. This approach is reliable and fast but meets some problems with particular constituents and does not give the spatial distribution of constituents. The aim of the research work is to study the internal structure of the bituminous material (composition and distribution) from image analysis of sample surface. For example, it is possible to determine accurately the grading curve of the bituminous mixes with digital image processing. A comparative study of grading curves from different plane cross-sections of a sample is presented. The results obtained with this new method highlighted the importance of using image analysis to determine composition of bituminous mixes and anisotropy measures without using chemical solvents. Results of the well known analyses in materials science are used for showing the possible extension of this approach to road material. For the covering abstract see ITRD E121480.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9080288446
• Corporate Authors:

  FOUNDATION EURASPHALT

  PO BOX 255
  BREUKELEN,     3620 AG
• Authors:
  • Hammoum, F
  • Hornych, P
• Publication Date: 2004

Language

• English

Media Info

• Features: References;
• Pagination: p. 1946-55
• Serial:
  • PROCEEDINGS OF THE 3RD EURASPHALT AND EUROBITUME CONGRESS HELD VIENNA, MAY 2004
  • Volume: 2
  • Publisher: FOUNDATION EURASPHALT

Subject/Index Terms

• TRT Terms: Bituminous mixtures; Chemical composition; Conferences; Image processing; Mathematical models
• Uncontrolled Terms: Micro; Particle size distribution
• ITRD Terms: 4967: Bituminous mixture; 8525: Conference; 8633: Image processing; 6473: Mathematical model; 9045: Micro; 6200: Particle size distribution; 5937: Structure (physicochem)
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00981042
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 90-802884-4-6
• Files: ITRD
• Created Date: Nov 3 2004 12:00AM