Inverse analysis of strain distributions sensed by distributed fiber optic sensors subject to strain transfer

Soroush Mahjoubi, Xiao Tan, Yi Bao

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Strains measured by distributed fiber optic sensors with protective coatings can be different from the real strains in host matrix due to strain transfer effect. This study presents a novel inverse method to determine the real strain distributions in host matrix using strain distributions measured from distributed fiber optic sensors. Two different scenarios of strain distributions in host matrix are investigated, which have known and unknown types of strain fields, respectively. Three representative metaheuristic algorithms are respectively utilized in the inverse analysis, which are colliding bodies optimization algorithm, particle swarm optimization algorithm, and genetic algorithm. The performance of the proposed method was evaluated by analytical case studies and experimental testing of a prestressed concrete beam subjected to four-point bending. The results demonstrated high accuracy and efficiency of the proposed method. This study is expected to greatly advance distributed fiber optic sensing capabilities in measuring strain distributions for structural health monitoring.

Original languageEnglish
Article number108474
JournalMechanical Systems and Signal Processing
Volume166
DOIs
StatePublished - 1 Mar 2022

Keywords

  • Distributed fiber optic sensor
  • Inverse analysis
  • Metaheuristics
  • Optimization
  • Strain transfer
  • Structural health monitoring

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