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Jeison D. Pacateque ; Miguel S. Puerto ; Manuel I. Balaguera ; Fredy Reyes ;Ciencia e Ingeniería Neogranadina 2015, 25 (1)

Author: Wilmar D. Fernández



Ciencia e Ingeniería Neogranadina ISSN: 0124-8170 Universidad Militar Nueva Granada Colombia Fernández, Wilmar D.; Pacateque, Jeison D.; Puerto, Miguel S.; Balaguera, Manuel I.; Reyes, Fredy ASPHALT MIXTURE DIGITAL RECONSTRUCTION BASED ON CT IMAGES Ciencia e Ingeniería Neogranadina, vol.
25, núm.
1, 2015, pp.
17-25 Universidad Militar Nueva Granada Bogotá, Colombia Available in: How to cite Complete issue More information about this article Journals homepage in Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative ASPHALT MIXTURE DIGITAL RECONSTRUCTION BASED ON CT IMAGES RECONSTRUCCIÓN DIGITAL DE MEZCLAS ASFÁLTICAS BASADA EN IMÁGENES DE TOMOGRAFÍA COMPUTARIZADA Wilmar D.
Fernández1, Jeison D.
Pacateque2, Miguel S.
Puerto3, Manuel I.
Balaguera4, Fredy Reyes5 Fecha de recepción: 15 de Septiembre de 2014 Fecha de aprobación: 16 de Diciembre de 2014 Referencia: W.D.
Fernández, J.D.
Pacateque, M.S.
Puerto, M.I.
Balaguera, F.
Asphalt mixture digital reconstruction based on CT images.
Ciencia e Ingeniería Neogranadina, 25 (1), pp.
17 - 25 ABSTRACT More than 80% of pavements in Colombia and worldwide are made of asphalt mixtures.
Those mixtures have usually been studied as a single material, but they are actually a three phase material, since they are composed of rocks, mastics and air voids.
In addition, the behavior of the asphalt mixtures depends on the characteristics of each phase.
The aim of this project is to make an asphalt mixture real sample reconstruction from X-Ray Computerized Axial Tomography (CAT).
The reconstruction process has three stages: Scanning, Segmentation, and Data Scaling. All these stages were developed in Python under Object Oriented Programming (OOP) and were implemented through the use of...


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