TY - GEN
T1 - Intelligent magnetostrictive measurement technology for loss rate of cross-sectional area of rectangular notch
AU - Zhou, Zhihui
AU - Zhang, Donglai
AU - Sun, Jinping
AU - Zhang, Enchao
AU - Pan, Shimin
AU - Li, Anshou
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.
AB - Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.
KW - cross-sectional loss
KW - defects
KW - intelligent measurement
KW - magnetostrictive
KW - nondestructive testing
UR - https://www.scopus.com/pages/publications/84943176401
U2 - 10.1109/CIVEMSA.2015.7158592
DO - 10.1109/CIVEMSA.2015.7158592
M3 - 会议稿件
AN - SCOPUS:84943176401
T3 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
BT - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
Y2 - 12 June 2015 through 14 June 2015
ER -