Contactless Ultrasonic Test System for Set Times of Mortar and Concrete

The use of ultrasonic testing to determine pulse velocities and small-strain elastic constants for rocks has been standardized in American Society for Testing and Materials (ASTM) standard D2845-95. However, the use of ultrasonic testing to determine pulse velocities and small-strain elastic constants of soils is less common, as soils have higher damping characteristics which result in measurement difficulty. The signal transmitted through soil is weak and very noisy. As a result, the signal must be properly processed to provide a reliable estimate of the wave travel time. In this paper, an ultrasonic test system consisting of compression and shear wave transducers, a pulser, and a data-acquisition system is evaluated for measurement of both compression and shear wave velocities. Among the specimens tested were fully saturated and unsaturated soil specimens. The effects of acoustic coupling and signal processing on the transmitted pulse were investigated. The strain levels associated with the determination of the wave velocities were also measured. Furthermore, a method for determining attenuation characteristics for soil specimens from the frequency spectra is suggested.Key words: laboratory, compression wave, shear wave, velocity, attenuation, ultrasonic.

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Application of Adaptive Fuzzy Filter in Ultrasonic Test System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.712-715.1970 ◽

2013 ◽

Vol 712-715 ◽

pp. 1970-1973

Author(s):

Bei Tao Guo

Keyword(s):

Adaptive Fuzzy Control ◽

Test System ◽

Ultrasonic Test ◽

Lms Algorithm ◽

Least Mean Square ◽

Fuzzy Filter ◽

Convergence Factor ◽

Ultrasonic Signals ◽

Adaptive Fuzzy ◽

Processing Data

In order to avoid some shortcomings such as poor accuracy and low signal-to-noise ration, an ultrasonic test system based on automatic and intelligent testing are introduced. After ultrasonic signal is transmitted and received; data processing, data saving and curve displaying are performed in this test system. To solve the problem of extracting the weak ultrasonic signals from the strong noise, an adaptive filter based on least-mean-square (LMS) algorithm is designed. The convergence factor of the algorithm is chose according adaptive fuzzy control rule. Experimental results show that the filter can inhibit the noise and extract the weak signals more effectively. It also can improve the robustness, convergence speed and detecting accuracy.

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Development of phased array ultrasonic test system for detection of fatigue crack of rib-to-deck weld of orthotropic steel deck system

Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges ◽

10.1201/9781315189390-388 ◽

2018 ◽

pp. 2857-2864

Author(s):

H. Shirahata

Keyword(s):

Fatigue Crack ◽

Phased Array ◽

Test System ◽

Ultrasonic Test ◽

Orthotropic Steel Deck ◽

Steel Deck

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Kinematics Modeling on CFRP Curved Part Ultrasonic Test

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.186.136 ◽

2011 ◽

Vol 186 ◽

pp. 136-140

Author(s):

Ling Li ◽

Yun Jiang Miao ◽

Zhong Bin Wang ◽

Xiong Bing Li

Keyword(s):

Test System ◽

Ultrasonic Test ◽

Robot Kinematics ◽

Carbon Fiber Reinforced Plastic ◽

Structure Model ◽

Ultrasonic Probe ◽

Fiber Reinforced Plastic ◽

Reinforced Plastic ◽

Kinematics Modeling ◽

Set Up

Aimed at inner flaw in CFRP（carbon fiber reinforced plastic）curved part, build the ultrasonic test technological process. Based on five-freedom CFRP curved part robot, the mechanics structure model is set up. And then, by basic principle of robot kinematics, the kinematics equation of five-freedom ultrasonic test system is derived. Finally, through solving the direct root and converse root, the mathematics relation expression between the movement variable of servo motors and ultrasonic probe coordinate is obtained.

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Application of Ultrasonic Test System for Test Performance Improvement of Welding Flaw

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.321-323.1517 ◽

2006 ◽

Vol 321-323 ◽

pp. 1517-1521 ◽

Cited By ~ 1

Author(s):

Chang Hyun Kim ◽

Jae Yeol Kim ◽

Kyung Seok Song ◽

Yong Hoon Cha

Keyword(s):

Neural Network ◽

Signal Processing ◽

Recognition Rate ◽

Test System ◽

Ultrasonic Test ◽

Inspection System ◽

Backpropagation Neural Network ◽

Ultrasonic Probe ◽

Inspection Method ◽

Probability Neural Network

In this research, we used nondestructive test based on ultrasonic test as inspection method, and made up inspection robot in order to control of ultrasonic probe on the SWP surface, and programmed to signal processing code and pattern classifying code by user made programming code. For evaluation of flaw signal is reflected on welding flaw, user-made program codes are composed of signal processing and probability neural network (PNN) and backpropagation neural network (BPNN). And then, we actually confirmed to the theoretical advantage of each neural network method compared probability neural network with backpropagation neural network for classification and recognition rate. For the application of classifier to SWP inspection system, BPNN classifier is adequate in the first stage. And then, the application of PNN classifier is adequate as the next stage. Because of PNN application need enough sample data that is due to probabilistic density function.

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