Real-time fast damage detection of shear structures with random base excitation. (October 2015)

• Record Type: Journal Article
• Authors: An, Yonghui; Spencer, Billie F.; Ou, Jinping
• Is Part Of: Measurement. Volume 74(2015:Oct.)
• Page Start: 92
• Page End: 102
• Publication Date: 2015-10
• Subjects: Fast damage detection -- Damage localization -- Random base excitation -- Shear structures -- Jerk energy -- Curvature difference; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2015.07.006
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Two damage detection methods for shear structures with random base excitation. Fast damage detection for real-time structural health monitoring. The methods have a strong anti-noise ability and high sensitivity on small damage. The methods do not require the numerical model. The methods avoid the error in the parameter identification process. Abstract: This paper validates the use of two jerk energy-based damage localization methods, proposed for the regular test with pulse excitation in earlier work, in real-time damage detection of shear structures with random base excitation. First, a 20-story shear structure numerical model is considered to provide numerical validation with random base excitation. Then, performance of the two methods in damage detection is experimentally validated through a laboratory-scale 6-story shear structure model. Both experimental and numerical results of single and multiple damage cases with different levels of stiffness loss indicate that the two jerk energy-based methods can also be used in real-time damage detection of shear structures with random base excitation. The two jerk energy-based methods perform well in the presence of high noise level; moreover, they are model-free that avoid establishing the structural finite element model and model updating.