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Asphalt Internal Structure Characterization with X-Ray Computed Tomography and Digital Image Processing
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Highway and Railway Engineering.ORCID iD: 0000-0003-2849-5263
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Highway and Railway Engineering.ORCID iD: 0000-0002-0596-228X
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Highway and Railway Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Highway and Railway Engineering.ORCID iD: 0000-0003-0889-6078
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2013 (English)In: Multi-Scale Modeling and Characterization of Infrastructure Materials: Proceedings of the International RILEM Symposium Stockholm, June 2013, Springer Netherlands, 2013, 139-158 p.Conference paper (Refereed)
Abstract [en]

In this paper, detailed study is carried out to develop a new workflow from image acquisition to numerical simulation for the asphalt concrete microstructures. High resolution computed tomography scanned images are acquired and the image quality is improved using digital image processing techniques. Nonuniform illumination is corrected by applying an illumination profile to correct the background and flat-fields in the image. Distance map based watershed segmentation are used to segment the phases and separate the aggregates. Quantitative analysis of the micro-structure is used to determine the phase volumetric relationship and aggregates characteristics. The result of the quantitative analysis showed a very high level of reliability. Finite Element simulations were carried out with the developed micro-mechanical meshes to capture the strength and deformation mechanisms of the asphalt concrete micro-structure. From the micro-mechanical investigation the load transfer chains, higher strength characteristics and high stress localization at the mastic interface between adjacent aggregates was shown.

Place, publisher, year, edition, pages
Springer Netherlands, 2013. 139-158 p.
Series
, RILEM Bookseries, ISSN 2211-0844 ; 8
Keyword [en]
X-ray computed tomography, digital image processing, finite element method, image based modeling, asphalt concrete
National Category
Transport Systems and Logistics Infrastructure Engineering
Research subject
SRA - Transport
Identifiers
URN: urn:nbn:se:kth:diva-125180DOI: 10.1007/978-94-007-6878-9_11ISBN: 978-94-007-6877-2ISBN: 978-94-007-6878-9OAI: oai:DiVA.org:kth-125180DiVA: diva2:639456
Conference
International RILEM Symposium Stockholm, June 2013
Note

QC20130830

Available from: 2013-08-07 Created: 2013-08-07 Last updated: 2014-09-17Bibliographically approved

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Asphalt_Internal_Structure_Characterization_CT_Image_Processing_Ibrahim_Onifade(3011 kB)357 downloads
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Onifade, IbrahimJelagin, DenisGuarin, AlvaroBirgisson, BjörnKringos, Nicole
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