Abstract

PurposeThe purpose of this paper is to provide insights into the current practice, challenges and future development trends of intelligent compaction (IC) technology from a bibliometric perspective.Design/methodology/approachA bibliometric analysis on IC-relevant studies is presented. Through this quantitative manner, insights into the current IC research practice and development trends have been derived from the perspectives of publications and citations, spatial distribution, knowledge construction, structural variations, existing problems, and conclusions and recommendations.FindingsCurrently, IC applications are confronted with the issues of intelligent compaction measurement values (ICMVs) applicability, autonomous control, specifications and applications. To address the issues, three potential research directions are identified: a comprehensive ICMV measurement system that is designated for single layer analysis; autonomous control mechanisms with integrated management capabilities that can efficiently collaborate all stakeholders; and a standardized application workflow and the cost-benefit evaluation of IC in the context of the full life cycle.Research limitations/implicationsThe literature used in this paper is collected from the Web of Science. Although the database covers almost all the important publications in IC field, studies not indexed by the database are not considered.Originality/valueThis research quantitatively analyzes the current IC practice and development trends from the perspectives of bibliometric analysis. It provides an overview of the knowledge construction and development of IC technology. The discussions about the problems and the suggested solutions can be useful for those interested in this field.

Highlights

  • In recent years, the extensive construction of highways brought great challenges for quality management, because these projects are required to achieve high-standard construction quality in limited time with inefficient quality control (QC) techniques

  • Conclusions and recommendations the Intelligent compaction (IC) has been developed for many years, the technology still needs to be further promoted to mitigate its uneven applications in different countries and regions

  • The IC practice is confronted with the issues of intelligent compaction measurement values (ICMVs) applicability, autonomous control, specifications and applications

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Summary

Introduction

The extensive construction of highways brought great challenges for quality management, because these projects are required to achieve high-standard construction quality in limited time with inefficient quality control (QC) techniques. (1) The real-time monitoring module continuously provides the intelligent compaction measurement values (ICMVs) for QC, which are derived from a rapid assessment model based on the vibration response and running status. In this module, an accelerometer is mounted in the drum, and, optionally, an infrared sensor can be attached for temperature monitoring in asphalt pavement projects. IC provides intuitive information of the compaction process to guide the rolling operations of the driver, which can effectively reduce the occurrence of under compaction or over compaction Due to this merit, IC has been widely accepted as an effective QC technique for pavement compaction (Kuenzel et al, 2016; Xu and Chang, 2016; Yao et al, 2018). Vibration frequency and amplitude, roller velocities and passes, trajectories, the ICMV

Germany 6 United
Aim Literatures
University of Minho
Introduction of ICMVs
Pad strain model
Findings
Conclusions and recommendations
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