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Distributed fiber optic sensors for monitoring cracks in civil infrastructure

  • Shengju Xie
  • , Yiming Liu
  • , Farhad Ansari
  • , Yi Bao
  • Stevens Institute of Technology
  • University of Illinois at Chicago

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Distributed Fiber Optic Sensors (DFOS) have exhibited unique strengths in monitoring cracks, providing real-time, spatially-distributed data that indicate structural integrity and support automation in the construction, operation, maintenance, management, and recycling of structures or structural components. This paper systematically reviews the scientific principles, influencing factors, technical methods, and applications of DFOS, aiming to enhance understanding and promote the applications of DFOS in automated monitoring of infrastructure. Fiber optic cables, installation methods, and sensing technologies are reviewed to promote construction practices. The reviewed contents extend to advancements in machine learning and digital twinning technologies for real-time, automated data processing, analysis, and visualization of the presence, location, and severity of cracks. Major challenges and emerging opportunities of utilizing DFOS are discussed to facilitate future research. This paper advances the understanding, development, and engineering applications of DFOS for monitoring cracks toward intelligent digitalization and automation of civil infrastructure.

Original languageEnglish
Article number106717
JournalAutomation in Construction
Volume182
DOIs
StatePublished - Feb 2026

Keywords

  • automated sensor data analysis
  • crack monitoring
  • deep learning
  • digital twin
  • machine learning
  • structural monitoring

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