Multiscale Curvature Analysis of Asphaltic Aggregate Particles
by Lilian Tais de Gouveia, (Dr., Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, P.O. Box 369, 13560-970, Brazil.), Francisco Aparecido Rodrigues, (corresponding author), (Lecturer and Researcher, Instituto de Ciências Matemáticas e Computação, Universidade de São Paulo, São Carlos, Brazil), and Luciano da Fontoura Costa, (Professor, Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, P.O. Box 369, 13560-970, Brazil.)
Journal of Computing in Civil Engineering, Vol. 24, No. 6, November/December 2010, pp. 506-513, (doi: http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000057)
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| Document type: |
Journal Paper |
| Abstract: |
A new method for characterization and analysis of asphaltic mixtures aggregate particles is reported. By relying on multiscale representation of the particles, curvature estimation, and discriminant analysis for optimal separation of the categories of mixtures, a particularly effective and comprehensive methodology is obtained. The potential of the methodology is illustrated with respect to three important types of particles used in asphaltic mixtures, namely basalt, gabbro, and gravel. The obtained results show that gravel particles are markedly distinct from the other two types of particles, with the gabbro category resulting with intermediate geometrical properties. The importance of each considered measurement in the discrimination between the three categories of particles was also quantified in terms of the adopted discriminant analysis. |
| Author Keywords: | 
| Image analysis |
| Asphaltic |
| Angularity |
| Computation |
| Form |
| Imaging |
| Particle |
| Shape |
|
