Pavement Performance Data

This dataset provides measured maximum dynamic modulus (E_max*) values for eleven asphalt mixtures using Bending Beam Rheometer (BBR) tests at low temperatures (0°C to –24°C). It includes binder properties, RAP content, and volumetric parameters, with results compared to Hirsch model predictions. The dataset supports more accurate mechanistic-empirical pavement design, particularly for predicting fatigue, rutting, and thermal cracking.

Data and Resources

Field Value
Contact Email jeremiah.adejube@utah.edu
DOI 10.7278/S5d-y2c1-jw38
Date Created 2024-01-08; 2025-08-11
Hive Date Modified 2026-07-20T20:19:16.394779+00:00
Hive Date Uploaded 2026-06-18T16:12:46.972712+00:00
Languages English
License Creative Commons Attribution 3.0 Unported (https://creativecommons.org/licenses/by/3.0/)
Old Hive ID 2801pg399
Parent ID b0pdd-yqx17
Publication Date 2025-09-04
Publisher The Hive: University of Utah Research Data Repository
Resource Type Dataset
Resource URL https://hive.utah.edu/records/b0pdd-yqx17
Subjects Pavement design; Mathematical models
Version 1
ndp_creator_md5 c28ceb2036e404504d019148adef79c9
ndp_group_id J. Willard Marriott Library
ndp_user_id 3383da5ae47ae984
Groups
  • NSF
  • United States
Tags
  • NSF
  • United States
  • mathematical-models
  • pavement-design
isopen True
license_id other-open
license_title Other (Open)
metadata_created 2026-10-30T17:28:11.781036
metadata_modified 2026-10-30T17:28:11.781041
notes This dataset provides measured maximum dynamic modulus (E_max*) values for eleven asphalt mixtures using Bending Beam Rheometer (BBR) tests at low temperatures (0°C to –24°C). It includes binder properties, RAP content, and volumetric parameters, with results compared to Hirsch model predictions. The dataset supports more accurate mechanistic-empirical pavement design, particularly for predicting fatigue, rutting, and thermal cracking.
num_resources 45
num_tags 4
title Pavement Performance Data