Detection of Damages in Structures Using Changes in Stiffness and Damping

Sinha, Uday; Chakraborty, Sushanta

doi:10.1007/978-981-15-8138-0_21

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…The most widely applied vibration theory in structural damage identification diagnoses damages by measuring the dynamic response and modal parameters of structures [9,10]. As the basic characteristics of structures, modal parameters do not change with the excitation form [11]; hence, the damage identification method based on modal parameters is reliable [12,13]. Rao et al [14] analyzed the experimental and analytical modes of a cantilever beam using an artificial neural network based on the vibration theory to identify structural damages.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification Method Using Additional Virtual Mass Based on Damage Sparsity

Zhang

Hou

et al. 2021

Applied Sciences

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Damage identification methods based on structural modal parameters are influenced by the structure form, number of measuring sensors and noise, resulting in insufficient modal data and low damage identification accuracy. The additional virtual mass method introduced in this study is based on the virtual deformation method for deriving the frequency-domain response equation of the virtual structure and identify its mode to expand the modal information of the original structure. Based on the initial condition assumption that the structural damage was sparse, the damage identification method based on sparsity with l1 and l2 norm of the damage-factor variation and the orthogonal matching pursuit (OMP) method based on the l0 norm were introduced. According to the characteristics of the additional virtual mass method, an improved OMP method (IOMP) was developed to improve the localization of optimal solution determined using the OMP method and the damage substructure selection process, analyze the damage in the entire structure globally, and improve damage identification accuracy. The accuracy and robustness of each damage identification method for multi-damage scenario were analyzed and verified through simulation and experiment.

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