Effect of Electrically Conductive Concrete Layer Thickness on Thermal Performance

While electrically conductive concrete (ECON) is a viable alternative to traditional snow removal methods involving deicers, this technology has no comprehensive design codes, standards, or guidelines. In developing a mechanistic design approach for ECON HPS, understanding the relationship between ECON layer thickness to its thermal performance is pivotal to avoiding overdesign and waste of resources. Therefore, in this study, five 355 mm long and 100 mm wide carbon fiber (CF)-reinforced ECON beams with thicknesses varying from 37.5 to 87.5 mm at 12.5 mm increments were tested to evaluate the effect of thickness on thermal-energy production. According to the results, the thermal energy produced from ECON changes with its layer thickness. A model was developed for estimating thermal energy from ECON layer thickness, but more comprehensive studies are required to develop a representative model to be utilized in ECON HPS design.

• Record URL:
  https://doi.org/10.1061/9780784484906.002
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484906
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Rahman, Md Lutfor
  • Ceylan, Halil
  • Kim, Sunghwan
• Conference:
  • International Airfield and Highway Pavements Conference 2023
  • Location: Austin Texas, United States
  • Date: 2023-7-14 to 2023-7-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 14-23
• Monograph Title: Airfield and Highway Pavements 2023: Innovation and Sustainability in Airfield and Highway Pavements Technology

Subject/Index Terms

• TRT Terms: Concrete pavements; Electrical conductivity; Mechanistic design; Snow removal; Standards; Thermal analysis
• Subject Areas: Highways; Pavements;

Filing Info

• Accession Number: 01902677
• Record Type: Publication
• ISBN: 9780784484906
• Files: TRIS, ASCE
• Created Date: Dec 19 2023 5:05PM