Multiscale Curvature Analysis of Asphaltic Aggregate Particles
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
---|---|
Data(s) |
20/10/2012
20/10/2012
2010
|
Resumo |
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. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq[301303/06-1] FAPESP[05/00587-5] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP[2007/50633-9] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP[2007/01128-0] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) |
Identificador |
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, v.24, n.6, p.506-513, 2010 0887-3801 http://producao.usp.br/handle/BDPI/29854 10.1061/(ASCE)CP.1943-5487.0000057 |
Idioma(s) |
eng |
Publicador |
ASCE-AMER SOC CIVIL ENGINEERS |
Relação |
Journal of Computing in Civil Engineering |
Direitos |
restrictedAccess Copyright ASCE-AMER SOC CIVIL ENGINEERS |
Palavras-Chave | #Image analysis #Asphaltic #Angularity #Computation #Form #Imaging #Particle #Shape #SHAPE CHARACTERIZATION #NEUROMORPHOMETRY #DIAGNOSIS #FRAMEWORK #CELLS #Computer Science, Interdisciplinary Applications #Engineering, Civil |
Tipo |
article original article publishedVersion |