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Page i
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
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image

LTPP Data Analysis

IMPROVING USE OF FWD AND
LONGITUDINAL PROFILE MEASUREMENTS

Linda M. Pierce
Timin Punnackal
Sarah Lopez
Nick Weitzel
Alberto Rocher
Nichols Consulting Engineers, Chtd
Reno, NV

Joshua Li
Xue (Helen) Yang
Oklahoma State University
Stillwater, OK

Steve M. Karamihas
University of Michigan
Ann Arbor, Ml

Conduct of Research Report for NCHRP Project 20-50(22)A
Submitted August 2024

National Academy of Sciences

Page ii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×

NCHRP Web-Only Document 416

LTPP Data Analysis

IMPROVING USE OF FWD AND LONGITUDINAL PROFILE MEASUREMENTS

© 2024 by the National Academy of Sciences. National Academies of Sciences, Engineering, and Medicine and the graphical logo are trademarks of the National Academy of Sciences. All rights reserved.
Digital Object Identifier: http://doi.org/10.17226/28570

NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM

Systematic, well-designed, and implementable research is the most effective way to solve many problems facing state departments of transportation (DOTs) administrators and engineers. Often, highway problems are of local or regional interest and can best be studied by state DOTs individually or in cooperation with their state universities and others. However, the accelerating growth of highway transportation results in increasingly complex problems of wide interest to highway authorities. These problems are best studied through a coordinated program of cooperative research.

Recognizing this need, the leadership of the American Association of State Highway and Transportation Officials (AASHTO) in 1962 initiated an objective national highway research program using modern scientific techniques—the National Cooperative Highway Research Program (NCHRP). NCHRP is supported on a continuing basis by funds from participating member states of AASHTO and receives the full cooperation and support of the Federal Highway Administration (FHWA), United States Department of Transportation, under Agreement No. 693JJ31950003.

COPYRIGHT INFORMATION

Authors herein are responsible for the authenticity of their materials and for obtaining written permissions from publishers or persons who own the copyright to any previously published or copyrighted material used herein.

Cooperative Research Programs (CRP) grants permission to reproduce material in this publication for classroom and not-for-profit purposes. Permission is given with the understanding that none of the material will be used to imply TRB, AASHTO, APTA, FAA, FHWA, FTA, GHSA, or NHTSA endorsement of a particular product, method, or practice. It is expected that those reproducing the material in this document for educational and not-for-profit uses will give appropriate acknowledgment of the source of any reprinted or reproduced material. For other uses of the material, request permission from CRP.

DISCLAIMER

The opinions and conclusions expressed or implied in this report are those of the researchers who performed the research. They are not necessarily those of the Transportation Research Board; the National Academies of Sciences, Engineering, and Medicine; the FHWA; or the program sponsors.

The Transportation Research Board does not develop, issue, or publish standards or specifications. The Transportation Research Board manages applied research projects which provide the scientific foundation that may be used by Transportation Research Board sponsors, industry associations, or other organizations as the basis for revised practices, procedures, or specifications.

The Transportation Research Board, the National Academies, and the sponsors of the National Cooperative Highway Research Program do not endorse products or manufacturers. Trade or manufacturers’ names appear herein solely because they are considered essential to the object of the report.

The information contained in this document was taken directly from the submission of the author(s). This material has not been edited by TRB.

National Academy of Sciences

Page iii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×

The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president.

The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. John L. Anderson is president.

The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president.

The three Academies work together as the National Academies of Sciences, Engineering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine.

Learn more about the National Academies of Sciences, Engineering, and Medicine at www.nationalacademies.org.

The Transportation Research Board is one of seven major program divisions of the National Academies of Sciences, Engineering, and Medicine. The mission of the Transportation Research Board is to mobilize expertise, experience, and knowledge to anticipate and solve complex transportation-related challenges. The Board’s varied activities annually engage about 8,500 engineers, scientists, and other transportation researchers and practitioners from the public and private sectors and academia, all of whom contribute their expertise in the public interest. The program is supported by state departments of transportation, federal agencies including the component administrations of the U.S. Department of Transportation, and other organizations and individuals interested in the development of transportation.

Learn more about the Transportation Research Board at www.TRB.org.

Page iv
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×

COOPERATIVE RESEARCH PROGRAMS

CRP STAFF FOR NCHRP WEB-ONLY DOCUMENT 416

Monique R. Evans, Director, Cooperative Research Programs

Waseem Dekelbab, Deputy Director, Cooperative Research Programs, and Manager, National Cooperative Highway Research Program

Amir Hanna, Senior Program Officer

Oulimata Khoule, Senior Program Assistant

Natalie Barnes, Director of Publications

Heather DiAngelis, Associate Director of Publications

Jennifer Correro, Assistant Editor

NCHRP PROJECT 20-50(22)A PANEL
Field of Special Projects

Sejal B. Barot, Maryland Department of Transportation, Hanover, MD (Chair)

Fan Gu, Changsha University of Science and Technology, Changsha

Xiaoyang Jia, Tennessee Department of Transportation, Nashville, TN

Seungwook Lim, California Department of Transportation, Sacramento, CA

Tommy E. Nantung, Indiana Department of Transportation, West Lafayette, IN

Larry A. Scofield, American Concrete Pavement Association, Mesa, AZ

Larry J. Wiser, FHWA Liaison

AUTHOR ACKNOWLEDGMENTS

The research reported herein was performed under NCHRP Project 20-50(22)A by Nichols Consulting Engineer, Chtd (NCE), the University of Michigan, and the University of Oklahoma. NCE was the contractor for this study, with the University of Michigan and the University of Oklahoma as subconsultants.

Dr. Linda M. Pierce, P.E., Principal Engineer at NCE, was the Principal Investigator. The other authors of this report are Mr. Timin Punnackal, Ms. Sarah Lopez, Mr. Nick Weitzel, and Mr. Alberto Rocher, of NCE, Dr. Joshua Li and Xue (Helen) Yang of the Oklahoma State University, and Dr. Steve M. Karamihas of the University of Michigan.

Page vii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×

LIST OF TABLES

Table 1. Summary EICM Inputs (NCHRP 2004)

Table 2. Summary EICM Outputs (NCHRP 2004)

Table 3. ME Model Coefficients for Coarse- and Fine-Grained Materials

Table 4. Subgrade Moduli for Asphalt Institute Method

Table 5. Monthly Granular Base k1 Values

Table 6. Air Temperature and Precipitation Summary Statistics

Table 7. Subsurface Temperature Summary Statistics

Table 8. Subsurface Moisture Content Summary Statistics

Table 9. Frost Penetration Summary Statistics

Table 10. Depth to Water Table Summary Statistics

Table 11. Deflection Sensor Offset

Table 12. MnDOT Season Definitions

Table 13. Climatic Data Sources

Table 14. Season Criteria – DF Climatic Zone

Table 15. Season Criteria – WF Climatic Zone

Table 16. Season Criteria – DNF Climatic Zone

Table 17. Season Criteria – WNF Climatic Zone

Table 18. ANOVA Results – p-values

Table 19. Summary of Deflection Basins by Climatic Zone

Table 20. Example of Subgrade Resilient Modulus (Minnesota)

Table 21. PMED Input Parameters

Table 22. PMED intermediate Files

Table 23. PMED and LTPP Average Moduli and Standard Deviations – Asphalt Layer

Table 24. PMED and LTPP Average Moduli and Standard Deviations – Base Layer

Table 25. PMED, LTPP, and AASHTO 1993 Average Moduli and Standard Deviations – Subgrade

Table 26. ANOVA Layer Modulus Results AASHTO 1993 vs LTPP

Table 27. ANOVA Results PMED vs LTPP Layer Moduli

Table 28. Pearson’s Correlation Coefficients per Climatic Zone

Table 29. Number of FWD Tests and Outliers per Climatic Zone

Table 30. TDR Moisture Content Statistical Summary

Table 31. Air and Pavement Layer Temperature Statistical Summary

Table 32. Rainfall Seven Days before FWD Testing Statistical Summary

Table 33. Water Table Depth Statistical Summary

Table 34. Asphalt Layer and Total Pavement Thickness Statistical Summary

Table 35. PSC Statistical Summary

Table 36. FWD Measured Deflections and Deflection Basin Parameters Statistical Summary

Table 37. Hierarchical Significance Levels

Table 38. Variable Selection for Temperature Adjustment of Deflections

Table 39. ß1 Coefficients for Temperature Adjustment of Deflections

Table 40. Variable Selection for Moisture Adjustment of Deflections

Table 41. ß1 Coefficients for Moisture Adjustment of Deflections

Table 42. Adjusted Deflections (Section 04-0113)

Table 43. Profile Measurement Visits (Section 39-0204)

Page viii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×

LIST OF FIGURES

Figure 1. Example of temperature impact on asphalt layer modulus

Figure 2. Example of distress due to concrete volume change

Figure 3. Example of asphalt pavement damage due to moisture

Figure 4. Example change in measured deflection with increasing temperature (Section 01-0101)

Figure 5. Ice lens development

Figure 6. Slab curling

Figure 7. Schematic of the EICM process

Figure 8. Incorporation of EICM into PMED

Figure 9. Asphalt Institute temperature adjustment factor

Figure 10. Center deflection temperature adjustment factors

Figure 11. Temperature correction factors

Figure 12. Example calculation of effective modulus for asphalt pavements

Figure 13. Example diurnal curvature analysis where slabs are mostly curled up

Figure 14. Agencies responding to questionnaires

Figure 15. LTPP SMP sections by climatic region

Figure 16. Average years of available SMP data

Figure 17. LTPP SMP typical instrumentation layout

Figure 18. Subsurface temperature measurements (Section 06-3042)

Figure 19. Example FWD testing scheme for SPS-1

Figure 20. Average monthly air temperature and FI (all climatic zones)

Figure 21. Average precipitation vs month (all climatic zones)

Figure 22. FI for DF sections

Figure 23. Average monthly air temperature and percent air temperature difference (DF sections)

Figure 24. Average layer modulus vs drop height (all FWD tests)

Figure 25. Example of decreasing deflections (Section 27-1028)

Figure 26. Subgrade seasonal adjustment factor per climatic zone

Figure 27. Tukey Test for Minnesota asphalt sections – subgrade

Figure 28. Asphalt layer seasonal adjustment factors

Figure 29. Seasonal adjustment factors for aggregate base and subgrade

Figure 30. PMED predicted vs LTPP backcalculated aggregate base moduli

Figure 31. PMED predicted vs LTPP backcalculated subgrade moduli

Figure 32. Asphalt layer modulus frequency distribution by climatic zone

Figure 33. Asphalt layer backcalculated modulus (Section 27-6251)

Figure 34. Outlier determination (Section 27-6251, FWD pass 672)

Figure 35. Box plot of coefficient of variation by sensor

Figure 36. Change in asphalt layer modulus and maximum deflection as a function of temperature

Figure 37. Instrumentation installation (Zollinger et al. 2008)

Figure 38. Number of FWD measurements needing diurnal temperature adjustment

Figure 39. Section 04-0113 pavement structure (https://infopave.fhwa.dot.gov)

Figure 40. Section 04-0113 pavement condition

Figure 41. Regression of D1 and mid-depth temperature (Station 155)

Figure 42. Example of IRI changes over time (Section 01-0101)

Figure 43. IRI difference factors for all SMP asphalt sections by climatic zone

Figure 44. Progression of left and right wheel path IRI deterioration over time (Section 18-3002)

Figure 45. Example of Section 18-3002 pavement deterioration

Figure 46. Section 39-0204 pavement structure

Figure 47. High-pass filter, normalized profile for joint detection

Figure 48. Isolated raw slab profile (Section 39-0204, October 20, 1999)

Page i
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R1
Page ii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R2
Page iii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R3
Page iv
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R4
Page v
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R5
Page vi
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R6
Page vii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R7
Page viii
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R8
Page ix
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements. Washington, DC: The National Academies Press. doi: 10.17226/28570.
×
Page R9
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Pavement structures are designed, constructed, and maintained to support traffic loadings and to minimize the impact of climatic factors on pavement performance. However, variation in environmental factors such as surface temperature and moisture content can result in changes in pavement material properties and impact performance. For asphalt pavement layers, the most significant environmental factor influencing performance is temperature, and for jointed plain concrete pavements, it is temperature and moisture gradients between the top and the bottom of the slab.

NCHRP Web-Only Document 416: LTPP Data Analysis: Improving Use of FWD and Longitudinal Profile Measurements, from TRB's National Cooperative Highway Research Program, presents the development of an approach to adjust falling weight deflectometer measurements to account for changes in temporal and diurnal temperature and moisture conditions for asphalt pavements and to evaluate longitudinal profile measurements to account for curl and warp of jointed plain concrete pavements.

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