Assessing the Effects of Heavy Vehicles on Local Roadways
Assessing the E ects of Heavy Vehicles on Local Roadways
Dr. W. James Wilde, P.E. Center for Transportation Research and Implementation
Minnesota State University, Mankato
August 2014
Research Project Final Report 2014-32
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1. Report No.
2.
MN/RC 2014-32
Technical Report Documentation Page
3. Recipients Accession No.
4. Title and Subtitle
Assessing the Effects of Heavy Vehicles on Local Roadways
5. Report Date
August 2014
6.
7. Author(s)
W. James Wilde
9. Performing Organization Name and Address
Center for Transportation Research and Implementation Minnesota State University, Mankato 342 Trafton Science Center N. Mankato, MN 56001
12. Sponsoring Organization Name and Address
Minnesota Local Road Research Board Minnesota Department of Transportation Research Services & Library 395 John Ireland Boulevard, MS 330 St. Paul, Minnesota 55155-1899
15. Supplementary Notes
16. Abstract (Limit: 250 words)
8. Performing Organization Report No.
10. Project/Task/Work Unit No.
11. Contract (C) or Grant (G) No.
(c) 98108
13. Type of Report and Period Covered
Final Report
14. Sponsoring Agency Code
This report documents the development of an analysis procedure and an associated computation tool to estimate the impact of heavy vehicles on local agency pavements. The heavy vehicles of interest are those which were not anticipated at the time the pavement structure was designed, but which cause additional damage and thus create the need for rehabilitation or reconstruction sooner than expected. These unexpected heavy vehicles could be generated by new industrial facilities, mining activities, changes in urban waste collection patterns, temporary heavy construction in a limited geographical area, or for other reasons. The tool described in this report implements the procedure, and provides users with the ability to analyze a single roadway segment (for detailed impacts estimates) or an agency's entire network (for summary statistics over the system). The tool provides estimates of the percent of originally intended life that may be used by the unanticipated vehicles, the additional pavement structure that would have been required at construction to accommodate the additional vehicles, and the additional damage that they cause. The tool is contained in a macro-enabled Microsoft Excel spreadsheet and does not need additional files or external functionality to conduct an analysis.
17. Document Analysis/Descriptors
Pavement damage, pavements, deterioration, heavy vehicles, software
19. Security Class (this report)
Unclassified
20. Security Class (this page)
Unclassified
18. Availability Statement
No restrictions. Document available from: National Technical Information Services, Alexandria, VA 22312
21. No. of Pages
49
22. Price
Assessing the Effects of Heavy Vehicles on Local Roadways
Final Report
Prepared by W. James Wilde Center for Transportation Research and Implementation Minnesota State University, Mankato
August 2014
Published by: Minnesota Department of Transportation
Research Services & Library 395 John Ireland Boulevard, MS 330
St. Paul, Minnesota 55155-1899
This report represents the results of research conducted by the authors and does not necessarily represent the views or policies of the Minnesota Local Road Research Board, the Minnesota Department of Transportation, and/or Minnesota State University. This report does not contain a standard or specified technique. The authors, the Minnesota Local Road Research Board, the Minnesota Department of Transportation, and/or Minnesota State University do not endorse products or manufacturers. Any trade or manufacturers' names that may appear herein do so solely because they are considered essential to this report..
ACKNOWLEDGMENTS
This project was funded by the Minnesota Local Road Research Board. The project team would like to thank the members of the Technical Advisory Panel, who were instrumental in the development of the project and the associated tool, as well as the industry representatives who provided valuable feedback and insight into their industries and into the development of the analysis tool. Mr. Dan Krivit also provided invaluable insights into the development of the impacts tool.
TABLE OF CONTENTS
Chapter 1. Introduction ....................................................................................................................1 Project Objectives .................................................................................................................... 1 Report Content......................................................................................................................... 1 Literature Review .................................................................................................................... 1
Chapter 2. Analysis Development .................................................................................................14 Analysis Modes ..................................................................................................................... 14 General Analysis Components .............................................................................................. 14 Interpretation of Results ........................................................................................................ 22
Chapter 3. Tool Development........................................................................................................25 Chapter 4. Conclusions ..................................................................................................................39 References ......................................................................................................................................40
LIST OF FIGURES
Figure 1. MnDOT Bituminous Pavement Design Chart.............................................................. 18 Figure 2. Example of pavement condition degradation curve prediction. ................................... 21 Figure 3. Sample results from segment analysis.......................................................................... 23 Figure 4. Sample network PCI distribution after 5 and 10 years................................................. 24 Figure 5. Spreadsheet opening screen.......................................................................................... 27 Figure 6. Main tool operation screen ? Segment Analysis. ......................................................... 27 Figure 7. Main tool operation screen ? Network Analysis. ......................................................... 28 Figure 8. Cost and other information entered by the user............................................................ 28 Figure 9. Pavement management information for individual segment........................................ 29 Figure 10. Pavement management information for individual segment ? user modified............ 29 Figure 11. Review of standard truck types. ................................................................................. 30 Figure 12. Review of custom (user-entered) truck types. ............................................................ 30 Figure 13. Data import and alignment ? with data headers. ........................................................ 31 Figure 14. Data import and alignment ? without data headers. ................................................... 31 Figure 15. Load analysis screen................................................................................................... 32 Figure 16. Save As... analysis saving screen. ............................................................................. 32 Figure 17. Sample results screen ? Segment analysis, consumed life. ........................................ 33 Figure 18. Sample results screen ? Segment analysis, pavement design comparison................. 33 Figure 19. Sample printed report ? individual segment............................................................... 34 Figure 20. Sample results screen ? Network analysis, consumed life. ........................................ 35 Figure 21. Sample results screen ? Network analysis, pavement design comparison................. 35 Figure 22. Sample printed report ? Network. .............................................................................. 36 Figure 23. User settings screen. ................................................................................................... 37 Figure 24. Extract of User Guide. ................................................................................................ 38
LIST OF TABLES
Table 1. Rio Blanco Road Impact Fee Schedule. .......................................................................... 5 Table 2. Comparison of Trash and Other Vehicle Impacts. .......................................................... 9 Table 3. ESALs per Cubic Yard by Truck Capacity. .................................................................. 12 Table 4. Average Vehicle Weight by Classification.................................................................... 16 Table 5. Coefficients for GE Curves in Equation 4. .................................................................... 19 Table 6. Example PCI Prediction Data. ....................................................................................... 20
EXECUTIVE SUMMARY
This report presents the results of the work to develop an analysis method and associated tool for estimating the impacts of heavy vehicles on pavement structures on local roads such as county highways and city streets. The impacts are predicted in two ways: the additional bituminous material that would have been designed into the pavement structure if the additional heavy vehicles had been anticipated at design time; and the portion of the pavement's design life consumed by the additional, unanticipated heavy vehicles. The tool also predicts the additional degradation in terms of pavement condition index, provided that the user's pavement management database contains enough historical information for a prediction to be made.
The expected uses of the analysis and associated tool include evaluating the impacts of new distribution centers or warehouses, large industrial areas, and siting of hog farms or ethanol plants, etc. Additionally, the tool may be used for short-term analyses such as the construction traffic associated with wind farm construction.
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