Efficient Numerical Methodology for the Determination of Thermal Conductivity of Asphalt Mixtures

Despite the importance of the thermal conductivity (k) to the study of pavement thermal behaviors, it is still a challenging task for engineers to come up with an efficient method for its determination without laborious laboratory measurements. Recently some computer-aided approaches were proposed to overcome the mentioned difficulty but still suffered from time-consuming and inefficient computation. This study presents a hybrid methodology for the determination of k value with a totally automatic program, employing genetic algorithm (GA) to achieving efficient model calibrations, coupled with the finite element simulation to make estimations of the thermal conductivity of the asphalt mixtures. The improved performance of the proposed method is demonstrated by a 2-D row-column structure model example to achieve a higher accuracy and efficiency existing approaches under the same conditions.

• Record URL:
  • https://doi.org/10.1007/978-3-030-87379-0_51
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030873783
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Wang, Huichen
  • Chu, L
  • He, Lei
  • Fwa, T F
• Conference:
  • 12th International Conference on Road and Airfield Pavement Technology (ICPT 2021)
  • Location: Moratuwa , Sri Lanka
  • Date: 2021-7-14 to 2021-7-16
• Publication Date: 2022

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 691-702
• Monograph Title: Road and Airfield Pavement Technology: Proceedings of 12th International Conference on Road and Airfield Pavement Technology, 2021
• Serial:
  • Lecture Notes in Civil Engineering
  • Volume: 193
  • Publisher: Springer Singapore
  • ISSN: 2366-2557
  • EISSN: 2366-2565
  • Serial URL: https://www.springer.com/series/15087

Subject/Index Terms

• TRT Terms: Asphalt mixtures; Automation; Finite element method; Genetic algorithms; Hybrid simulation; Thermal conductivity
• Subject Areas: Data and Information Technology; Highways; Pavements;

Filing Info

• Accession Number: 01966349
• Record Type: Publication
• ISBN: 9783030873783
• Files: TRIS
• Created Date: Sep 22 2025 8:49AM