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Vibration-based damage detection techniques have been used to detect damage in bridge beams.
Damage detection was based on electromechanical impedance method (EMI).
For such systems, nonlinear damage detection methods may be useful.
Finally, the proposed method is employed for damage detection.
Strain modes typically have high sensitivity in structural damage detection.
A statistical pattern recognition based damage detection algorithm is proposed.
Damage detection thresholds for each material and technique were obtained.
Damage detection, localization and assessment are made model-supported.
Identifying damages and their locations is termed as damage detection.
Particular attention is paid to damage detection aspects.
The proposed EMD method and static-dynamic damage detection method offer improved modal identification and damage detection, respectively, in structures.
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