Details:

Creators:
Richter, Cheryl Allen
Corporate Creators:
United States. Federal Highway Administration
Subject/TRT Terms:
[+]
Moisture Content Pavement Design Pavement Layers Pavement Performance Pavements--Design And Construction Pavements--Performance--Testing Pavements--Service Life Performance Tests Service Life Weathering
Publication/ Report Number:
FHWA-HRT-04-079
Resource Type:
Tech Report
Geographical Coverage:
United States
Corporate Publisher:
United States. Federal Highway Administration
NTL Classification:
NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance
Abstract:
The in situ moduli of unbound pavement materials vary on a seasonal basis as a function of temperature and moisture conditions.

Knowledge of these variations is required for accurate prediction of pavement life for pavement design and other pavement

management activities. The primary objective of this study is to advance the rational estimation of seasonal variations in

backcalculated pavement layer moduli using data collected via the Seasonal Monitoring Program of the Long-Term Pavement

Performance Program. Principal components of this endeavor included: evaluation of the moisture predictive capabilities of the

Enhanced Integrated Climatic Model (EICM); development of empirical models to predict backcalculated pavement layer moduli

as a function of moisture content, stress state, and other explanatory variables; and trial application of the models developed to

prediction backcalculated moduli for unbound pavement layers.

This investigation yielded two key findings. First, it provided the impetus for developing EICM Version 2.6 by demonstrating the

practical inadequacies of EICM Versions 2.0 and 2.1 when applied to the prediction of in situ moisture content, and then

demonstrated that substantial improvement in the moisture predictive capability of the EICM had been achieved in Version 2.6.

Second, the research identified fundamental discrepancies between layer moduli backcalculated using linear-layered elastic

theory and the laboratory resilient modulus test conditions.

Other important findings included (1) variation in moisture content is not always the most important factor associated with

seasonal variations in pavement layer moduli, and (2) a model form that fits linear elastic backcalculated moduli reasonably well.

The overall accuracy of the modulus predictions achieved in the trial application of the predictive models was not fully acceptable.

Several avenues for further research to improve upon these results are identified.


Format:
PDF
Collection(s):
Federal Highway Administration US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:e616e2af8c68d9c61fa1af05b15e33e426aa5ab3ea7861daac395ffc60b003cd
Download URL:
https://rosap.ntl.bts.gov/view/dot/25582/dot_25582_DS1.pdf
File Type:

Supporting Files

• No Additional Files

More +