Table of Content

Open Access

ARTICLE

Sensitivity of Eigen Value to Damage and Its Identification

B.K.Raghuprasad1, N.Lakshmanan2, N.Gopalakrishnan2, K.Muthumani2
1 Indian Institute of science, Bangalore: 560012, India 2 Structural Engineering Research Centre, CSIR campus, Taramani, Chennai: 600113, India

Structural Durability & Health Monitoring 2008, 4(3), 117-144. https://doi.org/10.3970/sdhm.2008.004.117

Abstract

The reduction in natural frequencies, however small, of a civil engineering structure, is the first and the easiest method of estimating its impending damage. As a first level screening for health-monitoring, information on the frequency reduction of a few fundamental modes can be used to estimate the positions and the magnitude of damage in a smeared fashion. The paper presents the Eigen value sensitivity equations, derived from first-order perturbation technique, for typical infra-structural systems like a simply supported bridge girder, modelled as a beam, an end-bearing pile, modelled as an axial rod and a simply supported plate as a continuum dynamic system. A discrete structure, like a building frame is solved for damage using Eigen-sensitivity derived by a computational model. Lastly, neural network based damage identification is also demonstrated for a simply supported bridge beam, where the known-pairs of damage-frequency vector is used to train a neural network. The performance of these methods under the influence of measurement error is outlined. It is hoped that the developed method could be integrated in a typical infra-structural management program, such that magnitudes of damage and their positions can be obtained using acquired natural frequencies, synthesised from the excited/ambient vibration signatures.

Keywords

Eigen value sensitivity, Damage prediction, Structural health monitoring, Infrastructural system, Perturbation Analysis, Inverse Problem.

Cite This Article

, B., , N., , N., , K. (2008). Sensitivity of Eigen Value to Damage and Its Identification. Structural Durability & Health Monitoring, 4(3), 117–144.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1097

    View

  • 822

    Download

  • 0

    Like

Related articles

Share Link

WeChat scan