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CONTACT INFORMATION Multi-Scale Characterization and Modeling of Asphalt Materials Ibrahim Onifade PhD Student KTH Royal Institute of Technology Division of Highway and Railway Engineering Brinellvägen 23, SE-100 44 Stockholm Phone: +46-8-790 8740 Mobile: +46-76-40 96 474 [email protected] www.kth.se Ibrahim Onifade Advisors Denis Jelagin Björn Birgisson Nicole Kringos Alvaro Guarin Why? New challenges: increasing axle load and tire pressure resulting in overloading. Implementation of existing design procedures - Extensive calibration and validation needed. - Inaccurate pavement distress prediction Discrepancies in test results : field and laboratory - Need for improved mix design. Development of a fundamental analytical technique to establish important material properties and determine right response to load and temperature. What? Better understanding of the state of stress in the material i.e. strength and deformation mechanism. Better mixture specifications Improved prediction of pavement performance and condition Maximum pavement utilization and minimization of cost. How? X-Ray Computed Tomography (CT) Acquisition of internal structure non-destructively. Digital Image Processing and Analysis Improvement and enhancement Quantification and analysis Surface and Mesh generation Numerical Simulation Tool - Finite Element, Discrete Element Method etc. Material characterization

Multi-Scale Characterization and Modeling of Asphalt Materials

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Multi-Scale Characterization and Modeling of Asphalt Materials using image processing techniques. Poster presentation at the highway and railway retreat 2013, Stockholm sweden.

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Page 1: Multi-Scale Characterization and Modeling of Asphalt Materials

CONTACT INFORMATION

Multi-Scale Characterization and Modeling of Asphalt Materials

Ibrahim Onifade PhD Student KTH Royal Institute of Technology Division of Highway and Railway Engineering

Brinellvägen 23, SE-100 44 Stockholm Phone: +46-8-790 8740 Mobile: +46-76-40 96 474 [email protected] www.kth.se

Ibrahim Onifade Advisors Denis Jelagin Björn Birgisson Nicole Kringos Alvaro Guarin

Why? New challenges: increasing axle load and tire pressure resulting in overloading. Implementation of existing design procedures - Extensive calibration and validation needed. - Inaccurate pavement distress prediction Discrepancies in test results : field and laboratory - Need for improved mix design. Development of a fundamental analytical technique to establish important material properties and determine right response to load and temperature.

What? Better understanding of the state of stress in the material i.e. strength and deformation mechanism. Better mixture specifications Improved prediction of pavement performance and condition Maximum pavement utilization and minimization of cost.

How? X-Ray Computed Tomography (CT) • Acquisition of internal structure

non-destructively. Digital Image Processing and Analysis • Improvement and enhancement • Quantification and analysis • Surface and Mesh generation Numerical Simulation Tool - Finite Element, Discrete Element Method etc. • Material characterization