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作者:

Feng Huan (Feng Huan.) | Liu Xiucheng (Liu Xiucheng.) (学者:刘秀成) | Wu Bin (Wu Bin.) | Han Qiang (Han Qiang.) (学者:韩强) | He Cunfu (He Cunfu.) (学者:何存富)

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EI Scopus SCIE

摘要:

Longitudinal mode ultrasonic guided waves (UGWs) in prestressed seven-wire steel strands have an inherent notch frequency property covering a frequency range of less than 100 kHz. If UGWs having such a frequency range are used to inspect the strand, the inspection instrument may fail to detect small defects due to difficulties in predicting the notch frequency. Therefore, it is more appropriate to design a miniaturised instrument that can excite and receive UGWs covering a frequency range of far more than 100 kHz for on-site strand inspection applications. In this study, an FPGA-controlled instrument is developed to test its UGW detection performance. The boost circuit operates in a frequency range of 0.1-1.5 MHz to produce a parametric burst of square waves with a low distortion content. The detected UGW signal is then filtered by a low-pass filter and amplified by a two-stage programmable gain pre-amplifier with a maximum amplification of 80 dB. The long-range strand inspection results show that the proposed instrument provides a signal-to- noise ratio for the detected UGW signal of 6.06 dB after the UGW has propagated for 56 m in the strand. The influence of a notch defect on the extent of mode conversion between the L(0,1) and F(1,1) modes and the amplitude of the signal reflected from the notch are analysed based on the short-time Fourier transform (STFT) results from the detected UGW signals. The variation in the UGW signal spectrum that is induced by a notch with a cross-sectional area loss of 1.13% can be identified, indicating the high UGW detection performance of the developed instrument.

关键词:

inspection instrument ultrasonic guided wave flaw detection steel strand

作者机构:

  • [ 1 ] [Feng Huan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Liu Xiucheng]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Wu Bin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 4 ] [He Cunfu]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Han Qiang]South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Guangdong, Peoples R China

通讯作者信息:

  • 刘秀成

    [Liu Xiucheng]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

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来源 :

INSIGHT

ISSN: 1354-2575

年份: 2017

期: 1

卷: 59

页码: 17-23

1 . 1 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:165

中科院分区:4

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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