Tensile Test of GFRP Bar Using Machine Vision

DOI

10.2991/aetr-17.2018.53How to use a DOI?

Keywords

GFRP bar; Machine vision; Tensile test; Strain measurement

Abstract

With the development of modern industrial technology, the efficiency and accuracy of material performance measurement are required to be higher and higher. The performance of materials plays a decisive role in the quality of the engineering, so it is becoming more and more important to test the properties of the materials. Because of the difference between the GFRP bar and the general reinforcement material, the mechanism of the distribution and development of cohesive force between GFRP bar and grouting material is also a problem which is urgent for scientific research workers to solve. In order to overcome the shortcomings of traditional extensometer strain measurement method in metal material tensile test, a non-contact strain precise measurement is carried out based on machine vision measurement principle. At present, many scholars have studied the contactless measurement based on machine vision and achieved some results. However, there are still many problems to be studied and improved in practical industrial applications. According to the performance requirement of metal materials and the principle of machine vision measurement, the non-contact strain measurement method has been further studied, and a complete strain measurement system has been developed.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zujia Zheng
AU  - Xue Yang
AU  - Zhigang Chen
AU  - Mingchao Yu
PY  - 2018/03
DA  - 2018/03
TI  - Tensile Test of GFRP Bar Using Machine Vision
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 274
EP  - 278
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.53
DO  - 10.2991/aetr-17.2018.53
ID  - Zheng2018/03
ER  -