Method for measuring nanoscale local strain in a dual phase steel using digital image correlation with nanodot patterns

2013 ◽  
Vol 68 (5) ◽  
pp. 245-248 ◽  
Author(s):  
Soo-Hyun Joo ◽  
Jae Kon Lee ◽  
Jin-Mo Koo ◽  
Sunghak Lee ◽  
Dong-Woo Suh ◽  
...  
Author(s):  
Khaled Alharbi ◽  
Hassan Ghadbeigi ◽  
Panos Efthymiadis ◽  
Mohammad Zanganeh ◽  
Steven Celotto ◽  
...  

2007 ◽  
Vol 48 (2) ◽  
pp. 181-196 ◽  
Author(s):  
V. Tarigopula ◽  
O. S. Hopperstad ◽  
M. Langseth ◽  
A. H. Clausen ◽  
F. Hild ◽  
...  

2008 ◽  
Vol 48 (2) ◽  
pp. 197-197 ◽  
Author(s):  
V. Tarigopula ◽  
O. S. Hopperstad ◽  
M. Langseth ◽  
A. H. Clausen ◽  
F. Hild ◽  
...  

2021 ◽  
Author(s):  
William Siefert ◽  
James Rule ◽  
Boian Alexandrov ◽  
Jorge Penso ◽  
Michael P. Buehner

2021 ◽  
Author(s):  
Ali Mirzazade ◽  
Cosmin Popescu ◽  
Thomas Blanksvärd ◽  
Björn Täljsten

<p>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.</p>


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