DOAJ Open Access 2024

Study on Corrosion Monitoring of Reinforced Concrete Based on Longitudinal Guided Ultrasonic Waves

Ji Qian Peiyun Zhang Yongqiang Wu Ruixin Jia Jipeng Yang

Abstrak

The corrosion of reinforced concrete (RC) is one of the most serious durability problems in civil engineering structures, and the corrosion detection of internal reinforcements is an important basis for structural durability assessment. In this paper, the appropriate frequency required to cause excitation signals in the specimen is first analyzed by means of frequency dispersion curves. Subsequently, the effectiveness of five damage indexes (DIs) is discussed using random corrosion in finite elements. Finally, guided ultrasonic wave (GUW) tests are conducted on reinforcement and RC specimens at different corrosion degrees, and the test results are verified using a theoretical corrosion model. The results show that the larger the covered thickness is at the same frequency, the higher the modal order of the GUW in the frequency dispersion curve is, and the smaller the group velocity is. The SAD is the most sensitive to the corrosion state of the reinforcement compared with the other DIs, and it shows a linear increasing trend with the increase in the corrosion degree of the reinforcement. The SAD values of the RC specimens showed a three-stage change with the increase in the corrosion time, and the time until the appearance of corrosion cracks was increased with the increase in the covered thickness. It can be seen that increasing the covered thickness is an effective method to delay the time until the appearance of corrosion cracks in RC specimens.

Penulis (5)

J

Ji Qian

P

Peiyun Zhang

Y

Yongqiang Wu

R

Ruixin Jia

J

Jipeng Yang

Format Sitasi

Qian, J., Zhang, P., Wu, Y., Jia, R., Yang, J. (2024). Study on Corrosion Monitoring of Reinforced Concrete Based on Longitudinal Guided Ultrasonic Waves. https://doi.org/10.3390/app14031201

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.3390/app14031201
Akses
Open Access ✓