A modified wavelet energy rate-based damage identification method for steel bridges

作者：Noori, M.; Wang, H.; Altabey, W. A.^*; Silik, A. I. H.

来源：Scientia Iranica, 2018, 25(6): 3210-3230.

DOI：10.24200/sci.2018.20736

• FBG strain sensor
• Wavelet packet transform
• Damage identification
• Modified wavelet packet energy rate

Strain is sensitive to damage, especially in steel structures. however, a traditional strain gauge does not fit bridge damage identification because it only provides the strain information of the point, where it is set up. While traditional strain gauges suffer from drawbacks, a long-gage FBG strain sensor is capable of providing the strain information of a certain range, in which all the damage information within the sensing range can be reflected by the strain information provided by FBG sensors. The wavelet transform is a new way to analyze the signals, capable of providing multiple levels of details and approximations of the signal. In this paper, a wavelet packet transform-based damage identification is proposed to identify the steel bridge damage numerically and with experimentally to validate the proposed method. The strain data obtained via long-gage FBG strain sensors are transformed into a modified wavelet packet energy rate index first to identify the location and severity of damage. The results of numerical simulations show that the proposed damage index is a good candidate that is capable of identifying both the location and severity of damage under noise effect.

• 出版日期2018-12
• 单位东南大学