Proposed asphalt binder fatigue criteria for various traffic conditions using the LAS or the G-R parameters

2022 ◽  
Vol 55 (1) ◽  
Author(s):  
Hui Chen ◽  
Hussain U. Bahia

Author(s):  
Akshay Gundla ◽  
Ramadan Salim ◽  
B. Shane Underwood ◽  
Kamil E. Kaloush

Over the past 20 years, changes in asphalt binders, the widespread adoption of polymer modified asphalts, and the need to bump asphalt binder grades to consider traffic conditions have exposed the gaps in the AASHTO M 320 specification, and subsequently led to the AASHTO M 332 specification. The State of Arizona initiated an experimental study to explore the possibility of adopting AASHTO M 332 into its binder specifications. In this paper, the specific challenges, technical implications of some key differences in the current Arizona standard compared with the AASHTO M 332 standard, and the approach taken to overcome the differences are explored and documented. Some of the key issues include the shortcomings of the Jnr difference parameter, uncertainty of the pressurized aging vessel (PAV) temperature to be used, effect on the intermediate temperature parameter, |G*|sin δ, and the prospective distribution of asphalt binder grades if the new specification is adopted. Overall, the AASHTO M 332 specification is promising for the State of Arizona with minor changes recommended to prevent changes in binder formulations and influx of asphalt binders inferior to those currently available.



Author(s):  
Mariely Mejías-Santiago ◽  
Jesse D. Doyle ◽  
John F. Rushing

This paper presents an evaluation of the performance of grooved warm-mix asphalt (WMA) under heavy aircraft loading compared with that of grooved hot-mix asphalt (HMA). Runway surface grooving is often required to provide high skid resistance for aircraft braking, particularly in wet conditions where hydroplaning must be minimized. An area of potential concern with the use of WMA on the surface of airfield runway pavements is the material response to surface grooving. If the asphalt binder in WMA is softer than that of comparable HMA because of reduced binder aging during production and placement, the WMA mixture may be more likely to experience groove closure or collapse. This condition could result in hydroplaning issues because of the reduction in water discharge and also in chipping of aggregate from the groove edges, which could increase the potential for foreign object damage. A full-scale experiment was designed to evaluate two pavement curing conditions and three WMA mixtures. Traffic was applied to the pavements with an F-15 load cart, and testing occurred during the summer of 2013. The performance of WMA, measured as the percentage of groove closure, was compared with that of comparative HMA. It was concluded that WMA could perform as well as HMA under different pavement curing conditions. This result indicates that WMA runway surface pavement that is properly cured before grooving should not exhibit groove closure under normal aircraft traffic conditions.





2009 ◽  
Author(s):  
Huiping Zhou ◽  
Makoto Itoh ◽  
Toshiyuki Inagaki




Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.



2015 ◽  
Vol 4 (3) ◽  
pp. 34-42
Author(s):  
T. Sri Lakshmi Sowmya ◽  
◽  
A. Ramesh ◽  
B.N.M. Rao ◽  
M. Kumar ◽  
...  


2019 ◽  
Author(s):  
Teng Man

The compaction of asphalt mixture is crucial to the mechanical properties and the maintenance of the pavement. However, the mix design, which based on the compaction properties, remains largely on empirical data. We found difficulties to relate the aggregate size distribution and the asphalt binder properties to the compaction behavior in both the field and laboratory compaction of asphalt mixtures. In this paper, we would like to propose a simple hybrid model to predict the compaction of asphalt mixtures. In this model, we divided the compaction process into two mechanisms: (i) visco-plastic deformation of an ordered thickly-coated granular assembly, and (ii) the transition from an ordered system to a disordered system due to particle rearrangement. This model could take into account both the viscous properties of the asphalt binder and grain size distributions of the aggregates. Additionally, we suggest to use the discrete element method to understand the particle rearrangement during the compaction process. This model is calibrated based on the SuperPave gyratory compaction tests in the pavement lab. In the end, we compared the model results to experimental data to show that this model prediction had a good agreement with the experiments, thus, had great potentials to be implemented to improve the design of asphalt mixtures.





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