<p>This paper proposed a numerical simulation method for detecting corrosion in pole tower steel bars based on microwave technology. To verify the efficacy of this technique, a test was conducted to detect corrosion in steel bars within foundation concrete using microwaves. A simulation model was then developed based on the actual structure of the pole tower concrete. Using this model, the amplitude variation of the transmission and reflection coefficients was analyzed through rectangular waveguide rotation scanning detection, and the optimal detection parameters were determined. The confocal imaging algorithm was proposed to realize&#xa0; microwave imaging of different corrosion states in the pole tower concrete structure. The results demonstrate the effectiveness of microwave reflection for detecting various levels of corrosion in pole tower concrete structures. When the lift-off distance is 2&#xa0;mm and the detection frequency is 5&#xa0;GHz, the corrosion degree&#xa0;can be identified by analyzing the variation of the reflection coefficient&#xa0;(S<sub>11</sub>) amplitude with the rotation scanning. Furthermore, microwave confocal imaging can accurately identify the number and location of corrosion defects. This study is highly significant for the non-destructive assessment of corrosion in pole tower concrete structures.</p>

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Corrosion detection method of reinforcement in the concrete pole tower based on microwave imaging

  • Lulu Cao,
  • Peng Li,
  • Zijin Li,
  • Baoliang Cao,
  • Jianhong Jiang,
  • Shenhua Wang,
  • Boming Zhang

摘要

This paper proposed a numerical simulation method for detecting corrosion in pole tower steel bars based on microwave technology. To verify the efficacy of this technique, a test was conducted to detect corrosion in steel bars within foundation concrete using microwaves. A simulation model was then developed based on the actual structure of the pole tower concrete. Using this model, the amplitude variation of the transmission and reflection coefficients was analyzed through rectangular waveguide rotation scanning detection, and the optimal detection parameters were determined. The confocal imaging algorithm was proposed to realize  microwave imaging of different corrosion states in the pole tower concrete structure. The results demonstrate the effectiveness of microwave reflection for detecting various levels of corrosion in pole tower concrete structures. When the lift-off distance is 2 mm and the detection frequency is 5 GHz, the corrosion degree can be identified by analyzing the variation of the reflection coefficient (S11) amplitude with the rotation scanning. Furthermore, microwave confocal imaging can accurately identify the number and location of corrosion defects. This study is highly significant for the non-destructive assessment of corrosion in pole tower concrete structures.