On using the DFOS for damage identification in civil engineering structures

Abstract: The application of distributed fiber optic sensing (DFOS) technologies to the monitoring of civil engineering structures has been widely developed in recent years. In particular, fiber optic sensing (FOS) using the Rayleigh backscattering phenomenon of the laser frequency spectrum has been used to continuously measure strain along the fiber optic sensor with high spatial resolution. However, the practical implementation of fiber optic sensorsin the field is still a challenge. These include, but are not limited to, the bonding between fiber sensor cables and the surrounding medium, the practical way in which fiber optic sensors can be installed in concrete structures, and the analysis of crack width using the strain distribution along the fiber. Compared to classical discrete sensors, the DFOS has a great potential to detect, localize and quantify crack formation even in the early stages of microcracking. This paper discusses the potential and challenges of using distributed fiber optic sensors for crack detection in concrete structures. In this sense, different types of mechanical tests on concrete structures using different fiber optic sensors, and different bonding techniques are presented to explore the possibilities of crack detection in concrete structures and its potential for practical structural health monitoring (SHM) systems of civil structures.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
On using the DFOS for damage identification in civil engineering structures ; volume:6 ; number:6 ; year:2023 ; pages:1476-1482 ; extent:7
ce/papers ; 6, Heft 6 (2023), 1476-1482 (gesamt 7)

Creator
Alkam, Feras
Ganß, Martin
Lieboldt, Matthias
Lahmer, Tom

DOI
10.1002/cepa.2898
URN
urn:nbn:de:101:1-2023120714513227027791
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:20 AM CEST

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Associated

  • Alkam, Feras
  • Ganß, Martin
  • Lieboldt, Matthias
  • Lahmer, Tom

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