| Issue |
MATEC Web Conf.
Volume 275, 2019
1st International Conference on Advances in Civil Engineering and Materials (ACEM1) and 1st World Symposium on Sustainable Bio-composite Materials and Structures (SBMS1) (ACEM2018 and SBMS1)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 5 | |
| Section | New Materials and Structural Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201927502004 | |
| Published online | 13 March 2019 | |
DIC-hole drilling method for in-situ residual stress measurement
1 College of Civil Engineering, Nanjing Tech University, Nanjing, Jiangsu 211816, China
2 Shanghai CSCEC Dongfu Investment Development CO., LTD., Shanghai 200122, China
* Corresponding author: dongjun@njtech.edu.cn
Residual stress measurement carries an important significance in ensuring safety and reliability of steel structures. In order to simplify the measurement procedure and enhance flexibility of the conventional hole drilling method to adopt in in-situ residual stress measurement, digital image correlation (DIC) is applied to measure the displacement field caused by the localized stress relief associated due to hole drilling. It is referred to as DIC-hole drilling method. The residual stress theoretical expressions of the DIC-hole drilling method are discussed. The requirements of drilling device, camera and lens are determined by accounting for the accuracy of the in-situ residual stress measurement. A benchmark experiment by using steel beam specimens is developed to verify the feasibility and reliability of DIC-hole drilling method. Test data are compared with theoretical calculations and FEM results. The comparison indicates the DIC-hole drilling method has enough accuracy for the in-situ residual stress measurement. The displacement field in the regions centred at 2 to 2.5 times drilling hole radius far from the hole is proposed for the accurate residual stress measurement.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.