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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Militar Nueva Granada
2015
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=91139263002 |
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Inhaltsangabe:
- ASPHALT MIXTURE DIGITAL RECONSTRUCTION BASED ON CT IMAGES Wilmar D. Fernández Jeison D. Pacateque Miguel S. Puerto Manuel I. Balaguera Fredy Reyes Ingeniería scaling ToyModel scanning segmentation Ray CT images More than 80% of pavements in Colombia and worldwide are made of asphalt mixtures. Thosemixtures have usually been studied as a single material, but they are actually a three phasematerial, since they are composed of rocks, mastics and air voids. In addition, the behavior of theasphalt mixtures depends on the characteristics of each phase. The aim of this project is to makean 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 wereimplemented through the use of several tools, such as Numpy, Scipy, Pydicom, Scikit-learn,Matplotlib and Mayavi. As a result, a tridimensional digital model called ToyModel was developed.This model is a 3D digital solid represented by a set of 1 mm3voxels. The reconstructed ToyModelaccurately represented the real sample, since the ToyModel air void volume was 3.98% and thereal sample air void content volume was 4%. This Python implementation is a good tool to modelany asphalt mixtures, not only to extract sample composition, but also to simulate differentprocesses, e.g., Finite Element Method (FEM) analysis. 2015 artículo científico 0124-8170 https://www.redalyc.org/articulo.oa?id=91139263002 en http://www.redalyc.org/revista.oa?id=911 Ciencia e Ingeniería Neogranadina application/pdf Universidad Militar Nueva Granada Ciencia e Ingeniería Neogranadina (Colombia) Num.1 Vol.25