contributor author | Lilian Tais de Gouveia | |
contributor author | Francisco Aparecido Rodrigues | |
contributor author | Luciano da Fontoura Costa | |
date accessioned | 2017-05-08T21:40:18Z | |
date available | 2017-05-08T21:40:18Z | |
date copyright | November 2010 | |
date issued | 2010 | |
identifier other | %28asce%29cp%2E1943-5487%2E0000064.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59023 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Multiscale Curvature Analysis of Asphaltic Aggregate Particles | |
type | Journal Paper | |
journal volume | 24 | |
journal issue | 6 | |
journal title | Journal of Computing in Civil Engineering | |
identifier doi | 10.1061/(ASCE)CP.1943-5487.0000057 | |
tree | Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 006 | |
contenttype | Fulltext | |