Smoothness Models for Hot-Mix Asphalt-Surfaced Pavements: Developed from Long-Term Pavement Performance Program Data

2001 ◽  
Vol 1764 (1) ◽  
pp. 139-156 ◽  
Author(s):  
Harold L. Von Quintus ◽  
Ahmed Eltahan ◽  
Amber Yau
Keyword(s):  
Hot Mix Asphalt ◽  
Pavement Performance ◽  
Program Data

Mechanistic Evaluation of Test Data from Long-Term Pavement Performance Jointed Plain Concrete Pavement Test Sections

1998 ◽  
Vol 1629 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Y. Jane Jiang ◽  
Shiraz D. Tayabji
Keyword(s):  
Test Data ◽  
Additional Data ◽  
Fatigue Cracking ◽  
Plain Concrete ◽  
Concrete Pavement ◽  
Pavement Performance ◽  
Distress Prediction ◽  
Program Data ◽  
Insight Into

Over the years, pavement engineers have attempted to develop rational mechanistic-empirical (M-E) methods for predicting pavement performance. In fact, the next version of AASHTO’s Guide for Design of Pavements is planned to be mechanistically based. Many M-E procedures have been developed on the basis of a combination of laboratory test data, theory, and limited field verification. Therefore, it is important to validate and calibrate these procedures using additional data from in-service pavements. The Long-Term Pavement Performance (LTPP) program data provide the means to evaluate and improve these models. A study was conducted to assess the performance of some of the existing concrete pavement M-E-based distress prediction procedures when used in conjunction with the data being collected as part of the LTPP program. Fatigue cracking damage was estimated using the NCHRP 1–26 approach and compared with observed fatigue damage at 52 GPS-3 test sections. It was shown that the LTPP data can be used successfully to develop better insight into pavement behavior and to improve pavement performance.

Determining the Age and Smoothness of Asphalt and Concrete Pavements at the Time of First Rehabilitation using Long-Term Pavement Performance Program Data

2018 ◽  
Vol 2672 (40) ◽  
pp. 176-185 ◽  
Author(s):  
Mary Robbins ◽  
Nam Tran ◽  
Audrey Copeland
Keyword(s):  
Life Cycle Cost ◽  
Evaluation Process ◽  
Concrete Pavement ◽  
Asphalt Pavements ◽  
Pavement Performance ◽  
Concrete Pavements ◽  
Pavement Roughness ◽  
And Performance ◽  
Program Data

Initial performance period is an important input in life-cycle cost analysis (LCCA). An objective of this study was thus to determine actual initial performance periods, as the pavement age at first rehabilitation, for asphalt and concrete pavements using Long-Term Pavement Performance (LTPP) program data. In addition, most agencies use International Roughness Index (IRI), a measure of pavement roughness applicable to both asphalt and concrete pavements, in their decision-making and performance-evaluation process. A secondary objective was, therefore, to determine the pavement roughness condition at the time of first rehabilitation using the same dataset. Based on surveys of highway agencies, initial performance periods frequently used in LCCA for asphalt pavements are between 10 and 15 years, while the average asphalt pavement age at time of first rehabilitation in the LTPP program was found to be approximately 18 years. For concrete pavements, most initial performance periods used in LCCA are between 20 and 25 years, whereas the average concrete pavement age at the time of first rehabilitation in the LTPP program is about 24 years. This suggests initial performance period values used for LCCA do not adequately represent the actual age of asphalt pavements at the time of first rehabilitation, while they are generally representative of actual concrete pavement age at the time of first rehabilitation. Also, it was found that asphalt pavements are typically rehabilitated when they are in good or fair condition according to Federal Highway Administration (FHWA) IRI criteria whereas concrete pavements are typically not rehabilitated until the pavement is in fair or poor condition.

Expected Service Life of Hot-Mix Asphalt Pavements in Long-Term Pavement Performance Program

2007 ◽  
Vol 1990 (1) ◽  
pp. 102-110
Author(s):  
Harold L. Von Quintus ◽  
Jagannath Mallela ◽  
Jane Jiang ◽  
Mark Buncher
Keyword(s):  
Service Life ◽  
Hot Mix Asphalt ◽  
Asphalt Pavements ◽  
Pavement Performance

Use of Long-Term Pavement Performance Data to Develop Traffic Defaults in Support of Mechanistic-Empirical Pavement Design Procedures

2003 ◽  
Vol 1855 (1) ◽  
pp. 176-182 ◽  
Author(s):  
Weng On Tam ◽  
Harold Von Quintus
Keyword(s):  
Pavement Design ◽  
Vehicle Classification ◽  
Pavement Performance ◽  
Traffic Data ◽  
Design Procedures ◽  
Load Spectra ◽  
State Highway ◽  
Pavement Structures ◽  
Empirical Design

Traffic data are a key element for the design and analysis of pavement structures. Automatic vehicle-classification and weigh-in-motion (WIM) data are collected by most state highway agencies for various purposes that include pavement design. Equivalent single-axle loads have had widespread use for pavement design. However, procedures being developed under NCHRP require the use of axle-load spectra. The Long-Term Pavement Performance database contains a wealth of traffic data and was selected to develop traffic defaults in support of NCHRP 1-37A as well as other mechanistic-empirical design procedures. Automated vehicle-classification data were used to develop defaults that account for the distribution of truck volumes by class. Analyses also were conducted to determine direction and lane-distribution factors. WIM data were used to develop defaults to account for the axle-weight distributions and number of axles per vehicle for each truck type. The results of these analyses led to the establishment of traffic defaults for use in mechanistic-empirical design procedures.

Long term performance of warm mix asphalt versus hot mix asphalt

2013 ◽  
Vol 20 (1) ◽  
pp. 256-266 ◽  
Author(s):  
Ziari Hasan ◽  
Behbahani Hamid ◽  
Izadi Amir ◽  
Nasr Danial
Keyword(s):  
Hot Mix Asphalt ◽  
Warm Mix Asphalt ◽  
Long Term Performance ◽  
Term Performance
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