Image-base Microstructural analysis and Discrete Element Simulation of Asphalt Mixture
ID:1524 View Protection:ATTENDEE Updated Time:2021-12-03 10:52:12 Hits:229 Poster Presentation

Start Time:2021-12-17 11:19(Asia/Shanghai)

Duration:1min

Session:P1 Poster2020 » P1T2Track 2 Transportation Infrastructure Engineering

No files

Abstract
Due to the limited means of asphalt mixture test and the difficulty of data monitoring make it difficult to further study the development of the research of asphalt. This paper proposes a digital simulation scheme of asphalt mixture, which simulates the asphalt mixture specimens and its whole loading process based on road engineering, CT scanning technology, image processing and intelligent recognition technology, discrete element method and mechanics theory. Firstly, the paper uses CT scanning technology to scan the asphalt mixture specimens and uses intelligent image recognition and digital reconstituted technology to establish a database of asphalt mixture. Secondly, based on the digital reconstituted of the mixture, discrete element method, mechanics theory and other techniques, a stdburgers model is developed for asphalt mortar in the road field. Finally, the paper combines AASHTO dynamic modulus test and triaxial test to verify the mixture simulation model.
Keywords
CICTP
Speaker
Xueke Li
Chang'an University

Submission Author
Xueke Li Chang'an University
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
Contact Information