| Issue |
MATEC Web Conf.
Volume 126, 2017
Annual Session of Scientific Papers IMT ORADEA 2017
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 4 | |
| Section | Mechanics | |
| DOI | https://doi.org/10.1051/matecconf/201712601007 | |
| Published online | 09 October 2017 | |
Defects detection on the welded reinforcing steel with self-shielded wires by vibration tests
1 Politehnica University Timisoara, Romania, ion_crastiu@upt.ro
2 Politehnica University Timisoara, Romania, pintiutza@gmail.com
3 Politehnica University Timisoara, Romania, sorin.deac@upt.ro
4 Politehnica University Timisoara, Romania, mircea.voda@upt.ro
5 Politehnica University Timisoara, Romania, dorin.simoiu@upt.ro
6 Politehnica University Timisoara, Romania, liviu.bereteu@upt.ro
* Corresponding author: ion_crastiu@upt.ro
The aim of this paper is the development and validation of a vibroacustic technique to welding defects detection, especially for welded reinforcing structures. In welded structures subjected to dynamic cyclic loads may appear and propagate fatigue cracks due to local structural damage. These cracks may initiate due to the technological parameters used in welding process, or due to environmental operating conditions. By the means of Finite Element Method (FEM), the natural frequencies and shape modes of more welded steel specimens are determined. The analysis is carried out in undamaged condition as well as damaged one, after artificially induced damages. The experimental measurement of the vibroacustic response is carried out by using a condenser microphone, which is suitable for high-fidelity acoustic measurements in the frequency range of 20 – 20.000 Hz. The vibration responses of the welded specimens, in free-free conditions, are carried out using algorithms based on Fast Fourier Transform (FFT), and Prony's series. The results are compared to modal parameters estimated using FE Analysis.
© The authors, published by EDP Sciences, 2017
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.