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ZENODO
Dataset . 2020
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2020
License: CC 0
Data sources: Datacite
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Dataset for: Fiber optic sensing of concrete cracking and rebar deformation using several types of cable

Authors: Zhang, Shenghan; Liu, Han; Abdoul, Aziz Sandotin Coulibaly; DeJong, Matthew;

Dataset for: Fiber optic sensing of concrete cracking and rebar deformation using several types of cable

Abstract

Distributed fiber optic sensing (DFOS) is increasingly being applied in civil engineering. One recently emerging type of DFOS, Optical Frequency Domain Reflectometry (OFDR), offers improved accuracy and resolution. This repository contains the data set and post processing for an experimental study conducted at University of California, Berkeley that investigates the ability of OFDR, implemented using several types of fiber optic cable, to detect concrete cracking and large strain steel deformation. More specifically, the experimental investigation involved six reinforced concrete specimens with different types of optical fiber embedded in both the concrete and rebar. OFDR successfully detected continuous rebar deformation and bond stress through the post yielding range, as well as strain localization indicative of concrete cracking. The type of optical fiber is shown to have a substantial influence on the measured strain response after the onset of nonlinear behavior (i.e. cracking, yielding) and into the large deformation regime where measurement survivability becomes an issue. The higher performing fibers reveal unprecedented detail regarding the interaction between concrete and rebar and demonstrate potential for application in RC structures. Please check our paper in Structural Control and Health Monitoring (https://doi.org/10.1002/stc.2664) for more detailed analysis. 

The fiber optic data is acquired based on the ODiSI 6000 Series platform from Luna Innovations. 

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Keywords

FOS: Civil engineering

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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