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<p>A computationally efficient approach to devise a correlated finite element (FE) model of structures is presented in this paper. It makes use of the vibration data obtained from both field experiments as well as the FE model to modify the FE system matrices. In contrast to the earlier models reported in the literature, this method works without imposing any parameterization, iterative procedures, or the use of any optimization algorithms. Vibration data of the structure measured from optimally placed sensors are used to determine the modal parameters using a popular operational modal analysis algorithm called second-order blind identification. Furthermore, the correlated FE model is developed, making use of limited experimentally measurable incomplete modal parameters. The proposed correlated FE model is employed for damage diagnosis to precisely identify the spatial location as well as quantify single and multiple damages present in the structure. Numerical validation is carried out by considering a simply supported beam and a 35-story framed structure by simulating damage at single and multiple spatial locations. The sensitivity of the present model for inevitable noise-corrupted vibration measurements is also tested during numerical simulations. Studies indicate that the proposed correlated FE model precisely locates and quantifies the damage present in the structure, even with noise-corrupted limited vibration measurements.</p>

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Localization and quantification of damage in structures with limited measurements using OMA and correlated FE models

  • 期刊论文

  • 发表日期：

    2026年7月25日

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  • K. Lakshmi,
  • Appala Srinivas

摘要

A computationally efficient approach to devise a correlated finite element (FE) model of structures is presented in this paper. It makes use of the vibration data obtained from both field experiments as well as the FE model to modify the FE system matrices. In contrast to the earlier models reported in the literature, this method works without imposing any parameterization, iterative procedures, or the use of any optimization algorithms. Vibration data of the structure measured from optimally placed sensors are used to determine the modal parameters using a popular operational modal analysis algorithm called second-order blind identification. Furthermore, the correlated FE model is developed, making use of limited experimentally measurable incomplete modal parameters. The proposed correlated FE model is employed for damage diagnosis to precisely identify the spatial location as well as quantify single and multiple damages present in the structure. Numerical validation is carried out by considering a simply supported beam and a 35-story framed structure by simulating damage at single and multiple spatial locations. The sensitivity of the present model for inevitable noise-corrupted vibration measurements is also tested during numerical simulations. Studies indicate that the proposed correlated FE model precisely locates and quantifies the damage present in the structure, even with noise-corrupted limited vibration measurements.