Study on the Evaluation Standard of Construction Quality for Asphalt Pavement Based on the Intelligent Sensing Aggregate

Abstract

The traditional evaluation method of construction quality for asphalt pavement has gradually lagged behind the pace of development of the road industry. Big data, Internet of Things (IoT), and intelligent sensing technology have been reflected in the field of road engineering, but these technologies also have technical shortcomings in terms of applicability, durability, real-time performance, and portability in practice. To provide a new method for construction quality evaluation of asphalt pavement, this study developed an intelligent sensing aggregate (ISA) with low cost and high precision based on the 3D printing and Internet of Things (IoT) technology. Based on the laboratory test and field test, the sensing characteristics, high-temperature resistance, and mechanical properties of ISA are analyzed to verify the reliability of ISA. Through the quantitative analysis of ISA perception data, the Driving Perception Index (DPI) is proposed. By analyzing the quantitative correlation between the spatial angle of ISA and the compaction degree, the quantitative correlation between the DPI, International Roughness Index (IRI), and the deflection value, the evaluation standard of construction quality for asphalt pavement is established. The result shows that the best baud rate for ISA is 9600 bps, and the corresponding data transmission distance is 350 m. In the range of 6 m, the cars, trucks, trailers, and buses can be perceived by ISA. The maximum operating temperature of ISA is up to 200°C. Embedding ISA into asphalt mixture has no significant effect on original gradation of asphalt mixture. The established evaluation standard of construction quality for asphalt pavement takes into account the compaction quality, the requirements of bearing capacity, and the driving comfort of asphalt pavement, which is suitable for expressway and first-class highway.

Dynamic Quality Monitoring System to Assess the Quality of Asphalt Concrete Pavement

“…This is to reasonably evaluate the pavement quality and thereby more accurately reflect the actual situation of the pavement [52]. Therefore, the combination weight w i of subjective and objective factors is calculated according to Formula (12).…”

“…The initial matrix is established according to the PWL score value of each evaluation index, and the objective weights shown in Table 4 were obtained by using the entropy weight method calculation Formulas (10) and (11). Finally, the subjective and objective combination weights were obtained according to Formula (12). The value of each index combination weight is shown in Table 5.…”

“…This has the potential to transform the previous manual inspection process into a digital process control system in order to enhance the efficient and effective quality control of highway construction projects. Indeed, Zhang [12] and others have developed an intelligent sensing aggregate (ISA) using advanced technologies, such as 3D printing and the Internet of Things. The system can collect and analyze data in real time, and the equipment also has resistance to high temperature.…”

Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction

“…Recently, such research works have been conducted in the pavement field and suggest future directions [33][34][35][36]. However, most technologies and research related to smart construction of pavements have been applied to asphalt concrete pavements [37][38][39][40][41][42][43][44][45][46][47][48], and limited research has been conducted on smart construction technologies for cement concrete pavements [49][50][51][52]. In particular, research related to curing compound spraying is extremely limited [53].…”