Asphalt mortar design method and its rationality verification in cross-scale prediction
Source abstract
Abstract
The development of asphalt mortar design methods is a prerequisite for cross-scale prediction from asphalt mortar scale to asphalt concrete scale. Existing studies have given some asphalt mortar design methods. However, these studies have not explored the impact of different maximum aggregate sizes of asphalt mortar on the cross-scale prediction results, nor have they judged the rationality of mortar design methods. In order to find the appropriate maximum particle size of asphalt mortar and develop an asphalt mortar design method that is suitable for predicting the mechanical behaviour of asphalt concrete, in this study, two commonly used particle sizes (2.36 and 1.18 mm) were selected as the maximum aggregate size of asphalt mortar, and an asphalt mortar design method, including the assumption of boundary particle size, was proposed. Then, utilising cross-scale simulation, the maximum aggregate size of asphalt mortar was compared and selected, and the rationality of the proposed asphalt mortar design method was verified. The results indicate that asphalt mortar with a maximum aggregate size of 1.18 mm is more suitable for predicting the mechanical behaviour of AC-13C, AC-20C, and AC-25C asphalt concrete. The design method of asphalt mortar containing the assumption of boundary particle size is reasonable.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Material Properties and Failure Mechanisms
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
Technology Center, Shenzhen Road & Bridge Group Co., Ltd., Shenzhen, People’s Republic of China
Energy China Intelligence Transportation Research Institute, Gezhouba Group Transportation Investment Co., Ltd., Wuhan, People's Republic of China
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China
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