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Ultrasonic Concrete Stress Recognition Based on Deep Residual Shrinkage Network
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Gang ZHENG1, 2, Zhi-yu ZHANG1, 2, Ji-gang YU1, 2, Lin-zheng SONG1, 2
Science Technology and Engineering | 2025, 25(16) : 6869 - 6878
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Science Technology and Engineering | 2025, 25(16): 6869-6878
Papers·Architectural Science
Ultrasonic Concrete Stress Recognition Based on Deep Residual Shrinkage Network
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Gang ZHENG1, 2, Zhi-yu ZHANG1, 2, Ji-gang YU1, 2, Lin-zheng SONG1, 2
Affiliations
  • 1 College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • 2 State Key Laboratory of Mountain Bridge and Tunnel Engineering(Chongqing Jiaotong University), Chongqing 400074, China
Published: 2025-06-08 doi: 10.12404/j.issn.1671-1815.2404433
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In order to study a non-destructive testing method for concrete beam stress, a ultrasonic tail stress identification algorithm coda wave-deep residual shrinkage network (C-DRSN) based on deep residual shrinkage network(DRSN) was proposed. According to the high-dimensional characteristics of the tail wave signal vector, the interference of signal noise to the measurement stress accuracy was reduced by introducing residual contraction block, using soft threshold function and attention mechanism, and the adaptive recognition and extraction of stress features in the signal were realized, and the recognition accuracy was improved. The characteristics were visually analyzed, and the mapping relationship between the tail wave sign and the stress was established. In order to verify the model's ability of stress recognition, ultrasonic tail wave signals of concrete I-beams under three-point bending and eccentric compression loads were collected respectively. The results show that the recognition rate can reach 99% under both loading modes, indicating that the proposed method is feasible in the stress recognition of concrete beams, and the accuracy of the proposed method is higher than that of the tail wave interference method.

nondestructive testing  /  ultrasonic coda wave  /  stress recognition  /  concrete  /  deep residual shrinkage network (DRSN)
Gang ZHENG, Zhi-yu ZHANG, Ji-gang YU, Lin-zheng SONG. Ultrasonic Concrete Stress Recognition Based on Deep Residual Shrinkage Network[J]. Science Technology and Engineering, 2025 , 25 (16) : 6869 -6878 . DOI: 10.12404/j.issn.1671-1815.2404433
Year 2025 volume 25 Issue 16
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Article Info
doi: 10.12404/j.issn.1671-1815.2404433
  • Receive Date:2024-06-17
  • Online Date:2025-07-09
  • Published:2025-06-08
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  • Received:2024-06-17
  • Revised:2025-03-04
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Affiliations
    1 College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
    2 State Key Laboratory of Mountain Bridge and Tunnel Engineering(Chongqing Jiaotong University), Chongqing 400074, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
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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