Akademik Veri Yönetim Sistemi
International Civil Engineering and Architecture Conference, Trabzon, Türkiye, 12 - 14 Ekim 2023, ss.1126-1139
Purpose: This work aims to compare the performances of modal-based damage indicators under high-noise conditions
in laminated composite beams.
Study design/methodology/approach: A finite element (FE) having five nodes and thirteen degrees of freedom (DOFs)
based on the first-order shear deformation theory (FSDT) is used for model updating. This model can capture the
Poisson’s effect and the elastic couplings due to anisotropy. Since vibration measurements can be performed over a
limited number of sensors on the structure, a model reduction is needed to achieve the incomplete modal data. For this
aim, the Iterated Improved Reduced System (IIRS) is employed. The damage identification problem is defined as an
unconstrained optimization problem in which an objective function based on frequency, mode shape correlation, and
flexibility is minimized. Teaching-Learning Based Optimization (TLBO) is used as an optimization tool. 0%, 3%, and
5% noise levels are used for assessment.
Findings: The results show that noise is highly effective on the damage identification performance. The hybrid damage
indicator based on frequency change, COMAC, and flexibility change gives the best results among the considered
indicators.
Originality/value: Vibration-based damage detection is very attractive in the field. Various criteria for damage detection
have been used in the literature. However, there is no study addressing the performance of the damage indicator under
heavy noise. This study makes a small contribution in this regard, specifically for laminated composite beams. A
comprehensive evaluation will be performed in a subsequent study.
Keywords: Damage detection; Laminated composite; Finite Element Method (FEM); Vibration; Noise