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Intelligent Detection Method and Device for Void of Composite Bridge Tower Based on Vibration and Acoustic Signals: Take the Composite Structure Bridge Tower of Zhangjinggao Yangtze River Bridge as an Example
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Hang YUAN1, Xin-peng YOU1, 2, Feng-chao GUO3
Science Technology and Engineering | 2025, 25(16) : 6890 - 6897
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Science Technology and Engineering | 2025, 25(16): 6890-6897
• Papers·Architectural Science •
Intelligent Detection Method and Device for Void of Composite Bridge Tower Based on Vibration and Acoustic Signals: Take the Composite Structure Bridge Tower of Zhangjinggao Yangtze River Bridge as an Example
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Hang YUAN1, Xin-peng YOU1, 2, Feng-chao GUO3
Affiliations
  • 1 CCCC Second Harbour Engineering Co. , Ltd. , Wuhan 430040, China
  • 2 College of Civil Engineering, Tongji University, Shanghai 200215, China
  • 3 Guangdong Bay Area Transportation Construction Investment Co. , Ltd. , Guangzhou 510000, China
Published: 2025-06-08 doi: 10.12404/j.issn.1671-1815.2404734
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To achieve rapid automatic detection and identification of void damage in high-rise composite structures, a bridge tower full-scale model was tested for damage using Zhangjinggao Yangtze River Bridge's composite structure tower. Through numerical simulation of sound field spatial distribution, time-frequency response characteristics comparison analysis, and convolutional neural network(CNN) model training and visualization. An automatic device for void detection of high-rise composite structures and a deep learning detection method based on acoustic signals were proposed. The results demonstrate that the acoustic signal analysis method based on automatic device acquisition can be used as a new approach for automatic detection and identification of void damage in high-rise composite structures. The constructed CNN model can achieve high-precision classification of structural void state, and the recognition accuracy is 96.8%. The automatic device and intelligent detection method enable automatic real-time detection and classification of high-rise composite structures, improving automation and reducing safety risks.

composite structure  /  bridge tower  /  void detection  /  acoustic signal  /  convolutional neural network (CNN)
Hang YUAN, Xin-peng YOU, Feng-chao GUO. Intelligent Detection Method and Device for Void of Composite Bridge Tower Based on Vibration and Acoustic Signals: Take the Composite Structure Bridge Tower of Zhangjinggao Yangtze River Bridge as an Example[J]. Science Technology and Engineering, 2025 , 25 (16) : 6890 -6897 . DOI: 10.12404/j.issn.1671-1815.2404734
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Article Info
doi: 10.12404/j.issn.1671-1815.2404734
  • Receive Date：2024-06-25
  • Online Date：2025-07-09
  • Published：2025-06-08
Article Data
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History
  • Received：2024-06-25
  • Revised：2025-03-07
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Affiliations
    1 CCCC Second Harbour Engineering Co. , Ltd. , Wuhan 430040, China
    2 College of Civil Engineering, Tongji University, Shanghai 200215, China
    3 Guangdong Bay Area Transportation Construction Investment Co. , Ltd. , Guangzhou 510000, China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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