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

Citation

Zhang, Shenghan; Liu, Han; Abdoul, Aziz Sandotin Coulibaly; DeJong, Matthew (2020), Dataset for: Fiber optic sensing of concrete cracking and rebar deformation using several types of cable, Dryad, Dataset, https://doi.org/10.6078/D1K70Z

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. 

Methods

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

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Award: P2ELP2_181928