Primary Data Collection and Environmental/Energy Audit of Hot Mix Asphalt Production
نویسندگان
چکیده
منابع مشابه
Infrared Thermography Revolutionizes Hot-Mix Asphalt Paving
Hot-mix asphalt (HMA) surfaces comprise about 90% of the highways and roads in the U.S. Highways and are typically engineered to last 15 years or more, but many have been failing early due to potholes, cracks, raveling, and other problems. This premature road failure unnecessarily wastes millions of taxpayer dollars every year. This paper describes a series of research studies that were conduct...
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Road distress results in high maintenance costs. However, increased understandings of asphalt behaviour and properties coupled with technological developments have allowed paving technologists to examine the benefits of introducing additives and modifiers. As a result, polymers have become extremely popular as modifiers to improve the performance of the asphalt mix. This study investigates the ...
متن کاملImproving Hot Mix Asphalt Production Using Computer Simulation and Real Time Optimization
The quality of hot mix asphalt is affected by the quality and consistency of input aggregates and the control of the production process. To improve the quality of hot mix asphalt, both the aggregates gradation and the process variables must be considered. Current practice involves taking samples from actual production and analyzing them in the lab. The entire process can take two hours, which, ...
متن کاملStudy of Compaction in Hot-Mix Asphalt Using Computer Simulations
During the process of compaction in Hot-Mix Asphalt (HMA) mixtures, the distance between aggregate particles decreases as they come together and eliminate air-voids. By measuring the inter-particle distances in a cut-section of a HMA sample the degree of compaction can be estimated. For this, a calibration curve is generated by computer simulation technique when the gradation and asphalt conten...
متن کاملHot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines
This paper explores the feasibility of applying support vector regression (SVR) kernel-based supervised learning method to develop hot mix asphalt (HMA) dynamic modulus (|E*|) predictive models. SVR-based prediction models were developed using the latest comprehensive |E*| database that is available to the researchers. The SVR model predictions were compared with the existing regression-based p...
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ژورنال
عنوان ژورنال: Energies
سال: 2020
ISSN: 1996-1073
DOI: 10.3390/en13082045