Research on non-destructive quantitative testing technology based on a real bridge engineering application

2015 ◽  
Author(s):  
B. H. Hao ◽  
D. Zeng ◽  
Y. T. Dou ◽  
Q. Y. Deng ◽  
T. T. Zhou
Keyword(s):  
Engineering Application ◽  
Bridge Engineering ◽  
Testing Technology ◽  
Non Destructive

scholarly journals Research on road engineering detection method based on GPR technology

2020 ◽  
Vol 165 ◽  
pp. 04014
Author(s):  
Liu Tao ◽  
Li Jia ◽  
Zheng Zhi-gang ◽  
Huang Zhi ◽  
Jiang Jian ◽  
...  
Keyword(s):  
Parameter Setting ◽  
Non Destructive Testing ◽  
Practical Application ◽  
Distribution Law ◽  
Destructive Testing ◽  
Road Engineering ◽  
The Road ◽  
Image Optimization ◽  
Testing Technology ◽  
Non Destructive

GPR is an effective non-destructive testing technology. This paper introduces its composition principle and operation method, explains the process of parameter setting and image optimization, obtains the dielectric constant of 10000 points, compares it with the density, and then obtains the uniformity distribution law of construction quality based on image. By calibrating the thickness of the road surface, the effective detection of road diseases can be realized, and the theoretical basis and practical application conditions of GPR technology can be clarified.

An Attempt at the Detection of a Flaw Using the Inverse Problem Solution of Impedance Imaging

1991 ◽  
Author(s):  
M. A. Hussain ◽  
M. McKee ◽  
J. Frankel
Keyword(s):  
Electrical Current ◽  
Problem Solution ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Impedance Imaging ◽  
Testing Technology ◽  
Connected Body ◽  
Simply Connected ◽  
Non Destructive ◽  
Single Flaw

Abstract In this paper we present some preliminary numerical simulations which allow us to predict a single flaw in a simply connected body. The purpose of this investigation was to detect flaws and cracks of engineering components using the method of electrical current computed tomography (ECCT), which is used in non-destructive testing technology. As in the previous paper, we have utilized the network analogy to detect a single flaw anywhere in the object. For detection of multiple flaws, the analysis has to be refined to give consistent results.

scholarly journals Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

Metals ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 612 ◽  
Author(s):  
Jue Hu ◽  
Weiping Xu ◽  
Bin Gao ◽  
Gui Tian ◽  
Yizhe Wang ◽  
...  
Keyword(s):  
Crack Detection ◽  
Pattern Mining ◽  
Learning Method ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Pulsed Thermography ◽  
Testing Technology ◽  
Deep Region ◽  
Detection And Localization ◽  
Non Destructive

Eddy Current Pulsed Thermography is a crucial non-destructive testing technology which has a rapidly increasing range of applications for crack detection on metals. Although the unsupervised learning method has been widely adopted in thermal sequences processing, the research on supervised learning in crack detection remains unexplored. In this paper, we propose an end-to-end pattern, deep region learning structure to achieve precise crack detection and localization. The proposed structure integrates both time and spatial pattern mining for crack information with a deep region convolution neural network. Experiments on both artificial and natural cracks have shown attractive performance and verified the efficacy of the proposed structure.

Terahertz Non-destructive Testing Technology for Glass Fiber Honeycomb Composites

2019 ◽  
Vol 48 (2) ◽  
pp. 212002 ◽  
Author(s):  
张丹丹 ZHANG Dan-dan ◽  
任姣姣 REN Jiao-jiao ◽  
李丽娟 LI Li-juan ◽  
乔晓利 QIAO Xiao-li ◽  
顾健 GU Jian
Keyword(s):  
Glass Fiber ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Testing Technology ◽  
Non Destructive

scholarly journals Non-destructive testing technology for raw eggs freshness: a review

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Liang Qi ◽  
Mao-cheng Zhao ◽  
Zhong Li ◽  
De-hong Shen ◽  
Jun Lu
Keyword(s):  
Non Destructive Testing ◽  
Destructive Testing ◽  
Testing Technology ◽  
Non Destructive

Progress of laser-generated ultrasonic non-destructive testing technology

2011 ◽  
Author(s):  
Shi-tu Luo ◽  
Xiang-lin Tan ◽  
Meng-chun Pan ◽  
Cheng-guang Fan
Keyword(s):  
Non Destructive Testing ◽  
Destructive Testing ◽  
Testing Technology ◽  
Non Destructive

Theoretical and Experimental Study on Nondestructive Pulse Phase Infrared Thermography Testing Technology

2011 ◽  
Vol 314-316 ◽  
pp. 1483-1486
Author(s):  
Qing Ju Tang ◽  
Jun Yan Liu ◽  
Yang Wang
Keyword(s):  
Experimental Study ◽  
Infrared Thermography ◽  
Testing Effect ◽  
Experimental Results ◽  
Composite Specimen ◽  
Experimental Platform ◽  
Phase Images ◽  
Testing Technology ◽  
Pulsed Phase Thermography ◽  
Non Destructive

The non-destructive pulsed phase thermography technique was used to detect metal specimen with flat blind-bottom holes and composite specimen with sticky areas. An experimental platform was built base on the analysis of the pulsed phase thermography testing principle. Experimental results show the different testing effect of the original thermography, amplitude and phase images.

Fault Diagnosis of Wind Turbines Based on Noise Detection

2013 ◽  
Vol 718-720 ◽  
pp. 405-408
Author(s):  
Jing Cheng ◽  
Wei Qing Wang ◽  
Shan He
Keyword(s):  
Fault Diagnosis ◽  
Engineering Application ◽  
Noise Measurement ◽  
Measurement Technology ◽  
Noise Detection ◽  
Vibration Detection ◽  
Technology Standard ◽  
Testing Technology ◽  
Diagnosis Method ◽  
Detecting Method

Aiming at backward current situation of testing technology and fault diagnosis technology of wind power generation in China, a fault diagnosis method based on based on noise detection is put forward. Studied IEC 61400-11 noise measurement technology standard, this paper elaborates the noise detecting method, analyzes the feasibility and diagnostic steps of fault diagnosis, proposes fault signal extracting method based on wavelet analysis. According to analysis and simulation, it is shown that noise measurement is earlier than vibration detection, and the fault signal can be extracted effectively, so it has important value for engineering application.

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