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Towards smarter concrete construction: A systematic review of monitoring technologies and sensing methods

  • Bochao Sun
  • , Yuxiang Huang
  • , Takafumi Noguchi
  • , Gaochuang Cai
  • , Weijian Zhao
  • , Maxwell Fordjour Antwi-Afari
  • , Dianchao Wang*
  • , Qingkai Chen*
  • *Corresponding author for this work
  • Zhejiang University
  • The University of Tokyo
  • Univ Lyon
  • University of Cambridge

Research output: Contribution to journal › Review article › peer-review

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Abstract

Monitoring the concrete construction process is essential for ensuring safety, quality, and efficiency during construction activities. While numerous sensing and monitoring techniques have been applied to individual stages such as pouring, vibration, setting, and crack development, existing studies largely address these stages in isolation, lacking an integrated perspective across the concrete construction process. This study presents a systematic literature review, conducted under PRISMA 2020 guidelines, synthesizing 140 journal articles retrieved from the Scopus database. The review systematically compares a wide range of sensing and monitoring technologies, including fiber optic sensors, piezoelectric-based methods, radio frequency identification (RFID), computer vision, acoustic emission, and Internet of Things (IoT) systems. These technologies are evaluated in terms of their application characteristics, advantages, limitations, and field suitability across three critical stages of concrete construction: (1) concrete construction support systems, (2) concrete before hardening, and (3) concrete post-hardening. Based on the systematic comparison results, three critical research gaps are identified: (1) cross-phase fragmentation and the absence of integrated process-chain monitoring across concrete construction stages, (2) limited interoperability and scalability of existing digital sensing ecosystems, and (3) insufficient robustness, energy autonomy, and calibration stability of sensors deployed under real construction-site conditions. Future research should focus on developing cross-phase, process-chain monitoring architectures, interoperable and scalable digital sensing ecosystems, and robust, energy-autonomous, and self-calibrating sensor systems to enable reliable, process-oriented, and predictive monitoring throughout the concrete construction process. This study is the first to systematically synthesize concrete construction monitoring and sensing technologies across different construction stages, providing a phase-dependent roadmap for integrated and process-oriented monitoring.
Original languageEnglish
Article number111540
Number of pages33
JournalStructures
Volume87
Early online date13 Mar 2026
DOIs
Publication statusPublished - 1 May 2026

Bibliographical note

Copyright © 2026 Institution of Structural Engineers. Published by Elsevier Ltd. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Concrete construction
  • Concrete strength prediction
  • Construction management
  • Structural health monitoring
  • Systematic literature review

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