Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Computer Model to Predict the Surface Temperature and Time-of-Wetness of Concrete Pavements and Bridge Decks

Published

Author(s)

Dale P. Bentz

Abstract

This report provides documentation and example results for a computer model developed to predict the surface temperature and time-of-wetness (and time-of-freezing) of concrete pavements and bridge decks. The model is based on a one-dimensional finite difference scheme and includes heat transfer by conduction, convection, and radiation. Environmental conditions are varied by using the typical meteorological year datafiles available from the National Renewable Energy Laboratory. Based on the weather data available in these files and the developed heat transfer model, both the surface temperature and the time-of-wetness of the concrete are computed for typical pavement and bridge deck structures. These predictions will be utilized as input into sorptivity-based service life models for sulfate attack and freeze-thaw deterioration, the main goal of the NIST research project being funded by the Federal Highway Administration.
Citation
NIST Interagency/Internal Report (NISTIR) - 6551
Report Number
6551

Keywords

bridge decks, building technology, computer modeling, concrete, heat transfer, pavements, surface temperature, time-of-wetness

Citation

Bentz, D. (2000), A Computer Model to Predict the Surface Temperature and Time-of-Wetness of Concrete Pavements and Bridge Decks, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=860286 (Accessed November 26, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 1, 2000, Updated February 19, 2017