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Predicting strains in embedded reinforcement based on surface deformation obtained by digital image correlation technique

Abstract

This study is carried out to assess the applicability of using a digital image correlation (DIC) system in structural inspection, leading to deploy innovative instruments for strain/stress estimation along embedded rebars. A semi-empirical equation is proposed to predict the strain in embedded rebars as a function of surface strain in RC members. The proposed equation is validated by monitoring the surface strain in ten concrete tensile members, which are instrumented by strain gauges along the internal steel rebar. One advantage with this proposed model is the possibility to predict the local strain along the rebar, unlike previous models that only monitored average strain on the rebar. The results show the feasibility of strain prediction in embedded reinforcement using surface strain obtained by DIC.

Category

Academic chapter

Language

English

Author(s)

  • Ali Mirzazade
  • Cosmin Popescu
  • Thomas Blanksvärd
  • Björn Täljsten

Affiliation

  • SINTEF Narvik
  • Luleå University of Technology

Year

2021

Publisher

International Association for Bridge and Structural Engineering

Book

IABSE Congress Ghent 2021 - Structural Engineering for Future Societal Needs

ISBN

9783857481765

Page(s)

425 - 434

View this publication at Norwegian Research Information Repository