Submission Number: 28434
Submission ID: 126806
Submission UUID: 6a8fd875-775e-4695-a1d5-87e806b0c1c7

Created: Fri, 07/11/2025 - 15:50
Completed: Fri, 07/11/2025 - 15:50
Changed: Mon, 07/14/2025 - 13:44

Remote IP address: (unknown)
Submitted by: dalia.jorge
Language: English

Is draft: No

Locked: Yes
TRANSPORTATION DEPT
University of Minnesota
263251
A Computational Tool for the Reliable Prediction of Pavement Performance Based on Temperature Data
1036342W138
The purpose of this project is to investigate how increasing thermal variability—driven by climate change—affects the long-term
performance of pavement systems. Historical climate data reveal a clear warming trend, with the average annual temperature in
the Twin Cities area increasing by 3.2°F from 1951 to 2012, a rate higher than national and global averages. Climate projections
indicate this warming will continue, with temperatures expected to rise between 5.6°F and 9.5°F by the end of the 21st century.
As Minnesota faces more frequent and intense heat waves, understanding the implications of these conditions on pavement
deterioration becomes essential. This project aims to develop reliable pavement monitoring tools that not only assess current
pavement conditions but also track and predict their degradation in response to thermal variations.
Project Duration
Thu, 01/31/0205 - 00:00
Mon, 06/30/2025 - 00:00
Mon, 06/16/2025 - 00:00
Yes
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Contract Amounts
$90000.00
{Empty}
$90000.00
Yes
state funds
No
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Aydin,Ceren
Ceren.Aydin@state.mn.us
Good
Great
Great
Good
Yes
{Empty}
4 - satisfied