Open Access
ARTICLE
Ahmed Silik1,2,7, Xiaodong Wang3, Chenyue Mei3, Xiaolei Jin3, Xudong Zhou4, Wei Zhou4, Congning Chen4, Weixing Hong1,2, Jiawei Li1,2, Mingjie Mao1,2, Yuhan Liu1,2, Mohammad Noori5,6,*, Wael A. Altabey8,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2023.023617
Abstract Damage detection is an important area with growing interest in mechanical and structural engineering. One of the
critical issues in damage detection is how to determine indices sensitive to the structural damage and insensitive
to the surrounding environmental variations. Current damage identification indices commonly focus on structural dynamic characteristics such as natural frequencies, mode shapes, and frequency responses. This study aimed at
developing a technique based on energy Curvature Difference, power spectrum density, correlation-based index,
load distribution factor, and neutral axis shift to assess the bridge deck condition. In addition to tracking energy
and frequency over time using wavelet packet… More >
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