Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures

2011 ◽  
Vol 23 (3) ◽  
pp. 248-263 ◽  
Author(s):  
Amir Hossein Gandomi ◽  
Amir Hossein Alavi ◽  
Mohammad Reza Mirzahosseini ◽  
Fereidoon Moghadas Nejad
Keyword(s):  
Author(s):  
Cléber Faccin ◽  
Luciano Pivoto Specht ◽  
Silvio Lisboa Schuster ◽  
Fernando Dekeper Boeira ◽  
Lucas Dotto Bueno ◽  
...  

Author(s):  
Ahmed F. Faheem ◽  
Hussain U. Bahia ◽  
Hossein Ajideh

This study intended to use the Superpave® gyratory compactor (SGC) as a basis for estimating the stability of asphalt mixtures as a surrogate for proposed method for the simple performance test. Several asphalt mixtures were produced with varying aggregate sources, asphalt contents, and gradations. Every mixture was compacted with the SGC and evaluated with the repeated compression test procedure for rutting measurements recommended by NCHRP Project 9–19 and the AASHTO 2002 pavement design manual to evaluate whether the results from the SGC can be related to the rutting of mixtures. Densification curves produced by the SGC were used to determine the volumetric properties besides the calculation of the traffic densification index (TDI), which represents the densification experienced by traffic loading during pavement service life. The traffic force index (TFI) was also calculated with a special accessory added to the SGC during compaction (the pressure distributor analyzer). The TFI represents the work done by the traffic to densify the mixture. Results from the mixture rutting tests were used to estimate the flow number (FN). The FN, an important mixture property, is shown to have a strong correlation to the TFI. The TFI was also found to be strongly correlated with the TDI and gives an opportunity to estimate the mixture resistance to compaction forces with the use of its volumetric behavior. The main finding of the study is that the SGC appears to give information that can be used to characterize the stability of the mixtures. Such information could be used as an initial screening criterion to select mixtures for various traffic levels.


2011 ◽  
Vol 2210 (1) ◽  
pp. 106-112 ◽  
Author(s):  
Shu Wei Goh ◽  
Zhanping You ◽  
Hainian Wang ◽  
Julian Mills-Beale ◽  
Jie Ji

TRANSPORTES ◽  
2020 ◽  
Vol 28 (2) ◽  
pp. 76-86
Author(s):  
Luis Miguel Gutierrez Klinsky ◽  
Vivian Silveira dos Santos Bardini ◽  
Valeria Cristina De Faria

This study used the Multiple Stress Creep Recovery Test (MSCR) and the Flow number test to analyze the characteristics of asphalt rubber and its use in hot mix asphalt (HMA) regarding to their ability to withstand permanent deformation. MSCR tests were done in three commercial asphalt rubber and in the traditional asphalt binder 50/70. Flow number tests were performed in twenty four specimens of asphalt rubber mixtures and eight specimens of conventional asphalt mixtures. The results of these tests showed that all the asphalt rubber samples had lower compliance values (Jnr) in the MSCR test, which denotes that these modified binders improved the rutting resistance of HMA. This behavior was confirmed with flow number results, since the HMA produced with asphalt rubber had always higher flow number values, when compared to the conventional asphalt mixtures. The analysis of the data showed excellent correlation between Jnr values and FN values.


2015 ◽  
Vol 15 (6) ◽  
pp. 04015009 ◽  
Author(s):  
Mohammadreza Mirzahosseini ◽  
Yacoub M. Najjar ◽  
Amir H. Alavi ◽  
Amir H. Gandomi

2015 ◽  
Vol 168 (3) ◽  
pp. 191-199 ◽  
Author(s):  
Neethu Roy ◽  
Amirthalingam Veeraragavan ◽  
J. Murali Krishnan

Author(s):  
Ahmed Muftah ◽  
Amir Bahadori ◽  
Fouad Bayomy ◽  
Emad Kassem

This paper presents the findings of a research study to determine the benefits of fiber-reinforced asphalt mixtures used to mitigate distresses observed in the field. Control asphalt mixture test sections were constructed on US-30 in Idaho, along with fiber-reinforced asphalt mixture test sections. Three types of fibers were evaluated: Fiber 1 (i.e., aramid and polyolefin fiber), Fiber 2 (i.e., wax-treated aramid fiber), and Fiber 3 (i.e., glass fiber). Several laboratory tests were conducted on laboratory-prepared test samples and extracted field cores. The laboratory tests included dynamic modulus, flow number, Hamburg wheel-track test, indirect tensile test, creep compliance, and semicircular bending, in addition to performance evaluation with AASHTOWare Pavement ME Design software. The laboratory results showed no significant improvement to the properties of asphalt mixtures at the fiber content recommended by the manufacturer. However, the performance of asphalt mixtures did improve at a fiber dosage higher than the one recommended by the manufacturer. This study demonstrated the need to evaluate different fiber contents when asphalt mixtures are designed, because the dosage recommended by the manufacturer may not be optimal for various asphalt mixtures.


2017 ◽  
Vol 2631 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Dahae Kim ◽  
Y. Richard Kim

The rutting resistance of asphalt concrete is typically assessed by using flow number tests in the lab in accordance with AASHTO TP 79. However, the flow number represents the rutting resistance of the material with regard to ranking for only a specific test condition. A significant amount of testing effort is needed to evaluate rutting resistance by using the flow number test under various loading conditions and temperatures. Therefore, researchers have developed alternative test methods to reduce the testing effort. For example, the incremental repeated-load permanent deformation test and the triaxial stress sweep (TSS) test are two promising protocols that can predict the permanent deformation of asphalt mixtures efficiently and accurately. This study compares the minimum strain rates (MSRs) obtained from incremental repeated-load permanent deformation and TSS tests to examine the ability of the TSS test to analyze the MSRs of asphalt mixtures. In addition, the viscoplastic shift model calibrated from the TSS test that is implemented in the layered viscoelastic pavement analysis for critical distresses (LVECD) program was used to predict the rut depths of 16 pavement sections from four sources. The MSRs and rut depths predicted from the LVECD program were compared with actual measured rut depths. The results of this study indicated that the MSR results could only be used to rank the rutting susceptibility of single-layer asphalt pavements. For a multilayered pavement system, structural level analysis is necessary to predict the accurate rutting performance and rut depths of the test sections.


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