Structural Health Monitoring of RC structures using optic fiber strain measurements: a deep learning approach

Karypidis, Dimitrios, 1991 (author): Chalmers tekniska högskola,Chalmers University of Technology

Gil Berrocal, Carlos, 1986 (author): Chalmers tekniska högskola,Chalmers University of Technology

Rempling, Rasmus, 1976 (author): Chalmers tekniska högskola,Chalmers University of Technology

Granath, Mats, 1972 (author): Göteborgs universitet,University of Gothenburg

Simonsson, Peter, 1971 (author): Trafikverket,The Swedish Transport Administration

(creator_code:org_t)

2019
2019
English.
In: 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. ; 114

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Abstract Subject headings

This paper reports the early findings of an ongoing project aimed at developing new methods to upgrade the current maintenance strategies of the civil and transport infrastructure. As part of these new methods, the use of Machine Learning (ML) algorithms is being investigated to constitute the core of a new generation of more accurate and robust structural health monitoring (SHM) systems for concrete structures. Unlike most of the existing SHM systems, relying on the analysis of the natural frequencies of the structure based on data obtained from accelerometers, the present study uses a distributed optic fiber system to monitor the strain distribution along steel reinforcing bars. The preliminary results of the study indicate that a semi-supervised Deep Autoencoder algorithm (DAE) can successfully quantify the damage attributable to transverse cracks in a reinforced concrete beam subjected to three-point loading. Future applications will feature the determination of crack locations, early detection of reinforcement corrosion as well as other types of damage such as splitting cracks or surface spalling.

By the author/editor: Karypidis, Dimit ...; Gil Berrocal, Ca ...; Rempling, Rasmus ...; Granath, Mats, 1 ...; Simonsson, Peter ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...; and Infrastructure E ...

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