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This report is an archived publication and may contain dated technical, contact, and link information |
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Publication Number:
FHWA-HRT-12-030
Date: August 2012 |
PDF Version (4.44 MB)
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Material characterization is a basic aspect of pavement engineering and is critical for analysis, performance prediction, design, construction, quality control/quality assurance, pavement management, and rehabilitation. Advanced tools like the American Association of State Highway and Transportation Officials Mechanistic-Empirical Pavement Design Guide, Interim Edition: A Manual of Practice (MEPDG) can be used to estimate the influence of several fundamental engineering material parameters on the long-term performance of a pavement.(1) Consequently, there is a need for more information about material properties, which are addressed only to a limited extent with currently available resources for performing laboratory and field testing. Reliable correlations between material parameters and index properties offer a cost-effective alternative, and the derived material property values are equivalent to the level 2 inputs in the MEPDG. This study initially verified the adequacy of the Long-Term Pavement Performance (LTPP) data and also made a preliminary assessment of the feasibility of developing the correlation models. In the next phase of the study, prediction models were developed to help practicing engineers estimate proper MEPDG inputs. This report describes the basis for selecting material parameters that need predictive models, provides a review of current LTPP program data, and proposes several statistically derived models to predict material properties. The models developed under this effort have been incorporated into a simple software program compatible with current versions of Microsoft Windows® operating system.
Jorge E. Pagán-Ortiz Director, Office of Infrastructure Research and Development
Notice
This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for the use of the information contained in this document. This report does not constitute a standard, specification, or regulation.
The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturers’ names appear in this report only because they are considered essential to the objective of the document.
Quality Assurance Statement
The Federal Highway Administration (FHWA) provides high-quality information to serve Government, industry, and the public in a manner that promotes public understanding. FHWA uses standards and policies are used to ensure and maximize the quality, objectivity, utility, and integrity of its information. It also periodically reviews quality issues and adjusts its programs and processes to ensure continuous quality improvement.
Technical Report Documentation Page
1. Report No.
FHWA-HRT-12-030 |
2. Government Accession No. | 3 Recipient's Catalog No. | ||
4. Title and Subtitle
Estimation of Key PCC, Base, Subbase, and Pavement Engineering Properties from Routine Tests and Physical Characteristics |
5. Report Date August 2012 |
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6. Performing Organization Code | ||||
7. Author(s)
C. Rao, L. Titus-Glover, B. Bhattacharya, M.I. Darter, M. Stanley, and H. L. Von Quintus |
8. Performing Organization Report No.
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9. Performing Organization Name and Address Applied Research Associates, Inc. Trade Centre Drive, Suite 200 Champaign, IL 61820 |
10. Work Unit No. (TRAIS) |
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11. Contract or Grant No. DTFH61-02-C-00138 |
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12. Sponsoring Agency Name and Address
Office of Infrastructure Research and Development Federal Highway Administration 6300 Georgetown Pike McLean, VA 22-22 |
13. Type of Report and Period Covered
Interim Report |
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14. Sponsoring Agency Code
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15. Supplementary Notes The Contracting Officer’s Technical Representative (COTR) was Larry Wiser, HRDI LTPP data analysis contract. |
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16. Abstract
Material characterization is a critical component of modern day pavement analysis, design, construction, quality control/quality assurance, management, and rehabilitation. At each stage during the life of a project, the influence of several fundamental engineering material parameters on the long-term performance of the pavement can be predicted using advanced tools like the American Association of State Highway and Transportation Officials Mechanistic-Empirical Pavement Design Guide, Interim Edition: A Manual of Practice (MEPDG). Consequently, there is a need for more information about material properties, which are addressed only to a limited extent with currently available resources for performing laboratory and field testing. Reliable correlations between material parameters and index properties offer a cost-effective alternative and are equivalent to the level 2 MEPDG inputs. The Long-Term Pavement Performance database provides data suitable for developing predictive models for Portland cement concrete (PCC) materials, stabilized materials, and unbound materials, as well as other design-related inputs for the MEPDG. This report describes the procedure for developing the following models:
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17. Key Words
Pavements, LTPP, Material properties, MEPDG, Prediction model, Index properties |
18. Distribution Statement
No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161. |
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19. Security Classification (of this report) Unclassified |
20. Security Classification (of this page) Unclassified |
21. No. of Pages 214 |
22. Price |
Form DOT F 1700.7 | Reproduction of completed page authorized |
SI* (Modern Metric) Conversion Factors
CHAPTER 2. MATERIAL PROPERTIES FOR PREDICTIVE EQUATIONS
CHAPTER 4. DATA ASSEMBLY AND MODELING CONSIDERATIONS
CHAPTER 6. SUMMARY AND FUTURE WORK
LIST OF FIGURES
LIST OF TABLES
LIST OF ABBREVIATIONS AND SYMBOLS
AASHTO | American Association of State Highway and Transportation Officials | |
AC | Asphalt concrete | |
ACI | American Concrete Institute | |
ANOVA | Analysis of variance | |
CBR | California bearing ratio | |
CEB-FIP | Committee Euro-International du Beton | |
CMC | Cementitious materials content | |
CRCP | Continuously reinforced concrete pavement | |
CTE | Coefficient of thermal expansion | |
DCP | Dynamic cone penetrometer | |
EI | Erodibility Index | |
EICM | Enhanced integrated climatic model | |
FEA | Finite element analysis | |
FHWA | Federal Highway Administration | |
FM | Fineness modulus | |
FWD | Falling weight deflectometer | |
GLM | Generalized linear model | |
GPS | General Pavement Studies | |
HMA | Hot mix asphalt | |
HRIS | Highway Research Information Service | |
IRI | International Roughness Index | |
ITZ | Interfacial zone | |
JPCP | Jointed plain concrete pavement | |
JRCP | Jointed reinforced concrete pavement | |
LCB | Lean concrete base | |
LEA | Layered elastic analysis | |
LTPP | Long-term pavement performance | |
MAS | Maximum aggregate size | |
M-E | Mechanistic-empirical | |
MEPDG | Mechanistic-Empirical Pavement Design Guide | |
MPT | Maximum paste thickness | |
MR | Modulus of rupture | |
NCHRP | National Cooperative Highway Research Program | |
PCA | Portland Cement Association | |
PCC | Portland cement concrete | |
PRS | Performance-related specification | |
QA | Quality assurance | |
QC | Quality control | |
RMSE | Root mean square error | |
SEE | Standard error of estimate | |
SCM | Supplemental cementitious material | |
SHA | State highway agency | |
SHRP | Strategic Highway Research Program | |
SPS | Specific Pavement Studies | |
TFHRC | Turner-Fairbank Highway Research Center | |
UCS | Unified Classification System | |
VIF | Variance inflation factor |
Topics: research, infrastructure, pavements and materials Keywords: research, infrastructure, pavements and materials, Pavements, LTPP, material properties, MEPDG, prediction model, Index properties TRT Terms: research, facilities, transportation, highway facilities, roads, parts of roads, pavements Updated: 09/26/2012
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