206
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Engineered water repellency for resilient and sustainable pavement systems

ORCID Icon, , , ORCID Icon & ORCID Icon
Pages 530-540 | Received 30 Mar 2023, Accepted 23 Jul 2023, Published online: 01 Aug 2023
 

ABSTRACT

Moisture-related pavement distresses lead to significant damage and recurring maintenance costs with substantial CO2 emissions. Engineering water repellency in pavement soils can help maintain uniform moisture conditions that improve and maintain performance, reduce design speculation, lowering material and construction costs, and emissions. This study examines the impact of grain size on water repellency treatment effectiveness. Soils from U.S. low volume roads and glass beads were treated with organosilane. Results showed effective water repellency, with contact angles ranging from 119.5° to 148.5°. Larger grain size reduced contact angle while increasing surface roughness raised it. Water drop penetration time tests showed no penetration after 2 hours (7200s), regardless of grain size, with breakthrough pressure values declining with larger grain and pore sizes (2kPa - 0.1kPa). This study discusses highlights the importance of considering grain and pore size effects when using water-repellent soils in pavement construction.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research is sponsored by the National Science Foundation (Award #1928813) with counterpart funding from the Iowa Highway Research Board (TR-783).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 185.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.