Development of Truck Equivalent Single-axle Load (ESAL) Factors Based on Weigh-in-motion Data for Pavement Design in Virginia PDF Download
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Author: Bryan C. Smith Publisher: ISBN: Category : Axial loads Languages : en Pages : 43
Book Description
The Virginia Department of Transportation's (VDOT's) current pavement design procedure is based on the 1993 AASHTO Guide for Design of Pavement Structures. In this procedure, a required structural capacity is calculated as a function of the anticipated service life, the serviceability of the pavement, and the number of equivalent loads applied. The concept of equivalent applied loads allows for the pavement designer to account for the damage caused by loads of varying magnitudes and axle configurations. Although pavement damage can be expressed per axle, expressing the damage in terms of the average amount of damage caused by a particular vehicle is more convenient. This is referred to as a truck factor, which is the average number of equivalent single-axle load (ESAL) applications per vehicle. VDOT's current pavement design procedure subdivides truck traffic into two categories, i.e., single-unit trucks and combination trucks, and was based on studies performed in the early 1990s. Over the last few years, VDOT has installed weigh-in-motion (WIM) devices at 15 locations around the state that measure the loads actually applied by vehicles in the travel lanes. These WIM stations allow for continuous data collection that was previously not available and therefore can provide a better representation of actual traffic loading. This study developed updated truck ESAL factors based on WIM data from June 2007 through May 2008 in Virginia. These factors were found to be 0.46 for single-unit trucks and 1.05 for combination trucks using flexible pavements and 0.59 for single-unit trucks and 1.59 for combination trucks using rigid pavements. The updated truck ESAL factors determined in this study should be incorporated into VDOT's pavement design procedure. Using the updated truck ESAL factors recommended in this study will allow a more optimal pavement design that more accurately reflects the traffic loading on roadways in Virginia.
Author: Bryan C. Smith Publisher: ISBN: Category : Axial loads Languages : en Pages : 43
Book Description
The Virginia Department of Transportation's (VDOT's) current pavement design procedure is based on the 1993 AASHTO Guide for Design of Pavement Structures. In this procedure, a required structural capacity is calculated as a function of the anticipated service life, the serviceability of the pavement, and the number of equivalent loads applied. The concept of equivalent applied loads allows for the pavement designer to account for the damage caused by loads of varying magnitudes and axle configurations. Although pavement damage can be expressed per axle, expressing the damage in terms of the average amount of damage caused by a particular vehicle is more convenient. This is referred to as a truck factor, which is the average number of equivalent single-axle load (ESAL) applications per vehicle. VDOT's current pavement design procedure subdivides truck traffic into two categories, i.e., single-unit trucks and combination trucks, and was based on studies performed in the early 1990s. Over the last few years, VDOT has installed weigh-in-motion (WIM) devices at 15 locations around the state that measure the loads actually applied by vehicles in the travel lanes. These WIM stations allow for continuous data collection that was previously not available and therefore can provide a better representation of actual traffic loading. This study developed updated truck ESAL factors based on WIM data from June 2007 through May 2008 in Virginia. These factors were found to be 0.46 for single-unit trucks and 1.05 for combination trucks using flexible pavements and 0.59 for single-unit trucks and 1.59 for combination trucks using rigid pavements. The updated truck ESAL factors determined in this study should be incorporated into VDOT's pavement design procedure. Using the updated truck ESAL factors recommended in this study will allow a more optimal pavement design that more accurately reflects the traffic loading on roadways in Virginia.
Author: Amin Akhnoukh Publisher: Springer Nature ISBN: 3030798011 Category : Technology & Engineering Languages : en Pages : 1211
Book Description
This volume focuses on recent advances in the planning, design, construction and management of new and existing roads with a particular focus on safety, sustainability and resilience. It discusses field experience through case studies and pilots presented by leading international subject-matter specialists. Chapters were selected from the 18th International Road Federation World Meeting & Exhibition, Dubai 2021.
Author: Sirous H. Alavi Publisher: ISBN: Category : Pavements Languages : en Pages : 226
Book Description
For a given road segment, accurate estimates of current and projected traffic [in terms of Equivalent Single Axle Loads (ESALs)] can result in significant cost savings, either from the standpoint of initial construction cost or future maintenance and rehabilitation cost. The primary objective of this project is to prepare a new ESAL design table for Arizona's highway network. This new table is based on analysis of current traffic data collection procedures, traffic forecasting methodology, and ESAL development procedures, including the assignment of traffic ESAL levels to the various highway segments.
Author: Benjamin H. Cottrell Publisher: ISBN: Category : Trucks Languages : en Pages : 59
Book Description
In 2003, staff of the Virginia Transportation Research Council (now the Virginia Center for Transportation Innovation and Research) and the Virginia Department of Transportation (VDOT) developed a plan to collect traffic and truck-axle weight data to support the Guide for Mechanistic-Empirical Design of New and Rehabilitated Pavement Structures, known as the Mechanistic-Empirical Pavement Design Guide (MEPDG). The purpose of this study was to review VDOT's traffic data plan for the MEPDG and revise it as needed. The review included an assessment of the data obtained from the VDOT and Virginia Department of Motor Vehicles weigh-in-motion (WIM) sites and the appropriateness of the truck weight groups in VDOT's traffic data plan. Information on truck travel patterns and characteristics was compiled. There is very little literature that provides specific information on the structure of a traffic data plan for the MEPDG. Guidance provided by the Federal Highway Administration allows for much flexibility in the development of such a plan. Most states are working to develop the plan, and such plans that are already in place vary considerably. The Corridors of Statewide Significance in Virginia's statewide long-range multimodal transportation plan represent the routes where truck traffic is most prominent and therefore represent routes on which the VDOT plan should focus. The study recommends that VDOT continue with its current truck weight data plan for the MEPDG. With this plan, VDOT is positioned to implement the MEPDG from a truck data perspective, The WIM data comprise an important input to the MEPDG process that is expected to provide VDOT with more accurate pavement designs based on actual traffic loadings in Virginia.
Author: Yi Jiang Publisher: Purdue University Press ISBN: 9781622600885 Category : Transportation Languages : en Pages : 110
Book Description
The values of equivalent single axle loads (ESAL) have been used to represent the vehicle loads in pavement design. To improve the pavement design procedures, a new method, called the Mechanistic-Empirical Pavement Design Guide (MEPDG), has been developed to use the axle load spectra to represent the vehicle loads in pavement design. These spectra represent the percentage of the total axle applications within each load interval for single, tandem, tridem, and quad axles. Using axle load spectra as the traffic input, the MEPDG method is able to analyze the impacts of varying traffic loads on pavement and provide an optimal pavement structure design. In addition, the new method can be used to analyze the effects of materials and the impacts of seasons, to compare rehabilitation strategies, and to perform forensic analyses of pavement conditions. The MEPDG utilizes mechanistic-empirical approaches to realistically characterize inservice pavements and allows the full integration of vehicular traffic loadings, climatic features, soil characteristics, and paving materials properties into the detailed analysis of pavement structural behaviors and the resulting pavement performance. In order to provide the traffic data input required by the MEPDG, the Indiana Department of Transportation (INDOT) made an effort to obtain truck traffic information from the traffic data collected through weigh-in-motion (WIM) stations. This study was conducted to create the truck traffic spectra and other traffic inputs for INDOT to implement the new pavement design method. Furthermore, the INDOT AADT data were used in this study to analyze the spatial distributions of the traffic volumes in Indiana and to obtain the spatial distributions of traffic volumes.
Author: Bryan C. Smith
Author: Bryan C. Smith
Author: Bruce Aunet
Author: Amin Akhnoukh
Author: Bryan Coleman Smith
Author: Sirous H. Alavi
Author: David A. Friedrichs
Author: Benjamin H. Cottrell
Author: Yi Jiang
Author: Faria Emamian
Author: Sonny Kim