Work

Asphalt mixture compaction based on motion sensing intelligent aggregate (MSIA)

Year: 2025

Type: article

Abstract: Motion sensing intelligent aggregates (MSIAs) enable the real-time acquisition of asphalt mixture internal dynamic response data during pavement compaction, providing detailed information on aggregate motion within the compacted layer. These data support the development of an accurate evaluation feedback system for optimizing the field compaction strategy. Therefore, MSIAs can potentially promote the automation and high-quality development of road compaction construction. This paper aims to elucidate the current applications and prospects of MSIAs in pavement compaction research. Using bibliometric statistics of pavement compaction, research hotspots related to technical approaches, material composition, and methodological advances are systematically reviewed. Recommendations are proposed based on the summary of MSIA development, data analysis, and application in asphalt mixture compaction. Future research is needed to minimize size effect influences, develop prediction models, and advance array-arrangement designs of MSIAs that align with the complex conditions of asphalt mixture compaction.

Source: Automation in Construction

DOI: 10.1016/j.autcon.2025.106726

Authors: Xuejiao Cheng, Fangyuan Gong, Longbang Qing

Institution: Hebei University of Technology

Language: English

Topic: Asphalt Pavement Performance Evaluation

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $5,490