Abstract
To provide a new method for the evaluation of the compaction quality of asphalt mixture, a real-time data acquisition and processing system (RDAPS) for the motion state of aggregate with a small volume and high precision is developed. The system consists of an intelligent aggregate (IA), analysis software and hardware equipment. The performance of the IA was tested by regarding data sensitivity, high-temperature resistance, and mechanical properties. A new evaluation method was proposed for evaluating the compaction quality of AC-25 and SMA-25 asphalt mixtures based on an IA. The results show that the best transmission baud rate for the IA was 9600 bps, and the corresponding signal transmission distance was 380 m. Only one IA was needed to complete the state data collection for the aggregate within the asphalt mixture in a circular area, with the IA layout point as the center of the circle and a radius of 5 m. The IA conducted reliable data transmission up to 200 °C; however, its compressive strength decreased with increasing temperature until reaching stability. Traditional aggregate could be replaced by an IA to withstand external forces and internal load transfer. Embedding an IA into AC-25 or SMA-25 asphalt mixtures did not have a significant impact on the original mechanical properties of the mixture. The effect of the gradation type of the asphalt mixture on the IA motion state was not significant. When the compaction degree met the specification requirements, the motion data of the IA did not reach a stable state, and the interlocking effect between aggregates in the asphalt mixture could be further optimized. An evaluation method is proposed based on the IA for the compaction quality of AC-25 and SMA-25 asphalt mixtures with the compaction degree as the main index and the spatial attitude angle and spatial acceleration of the IA as the auxiliary indexes.
Highlights
The performance of the intelligent aggregate (IA) was tested regarding the aspects of data sensitivity, high-temperature resistance, and the mechanical properties, and the working performance of the IA was analyzed based on the laboratory test to provide new methods for the compaction quality evaluation of asphalt mixtures and to supplement and improve the intelligent compaction technology
The hardening time for plastic steel soil is generally 12 h, the compressive strength of plastic steel soil is about 70 MPa, and the temperature resistance can be up to 380 ◦ C, which is very suitable for packaging materials
A new method was proposed for the evaluation of the compaction quality of asphalt mixtures based on the IA
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. It can be seen that the current research mainly uses computer numerical simulation, tracking aggregates or X-ray CT non-destructive scanning technology to obtain the motion characteristics of aggregates in the asphalt mixture, and has achieved some forward-looking results These methods have the disadvantages of high cost, poor portability of equipment, complex processing of raw data, and cannot collect and process data in real time, which is difficult to be popularized and applied in field engineering. IC adoption, knowledge and use of IC through survey responses, and benefits and costs of IC [13] This compaction technology cannot perceive and analyze the internal states of asphalt pavement, such as the contact behavior and interlocking state of aggregates, which is prone to the situation that the surface compaction quality is qualified but the internal is loose, resulting in pavement damage. The performance of the IA was tested regarding the aspects of data sensitivity, high-temperature resistance, and the mechanical properties, and the working performance of the IA was analyzed based on the laboratory test to provide new methods for the compaction quality evaluation of asphalt mixtures and to supplement and improve the intelligent compaction technology
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