Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.596977
Title: The ensemble statistics of the response of structural components with uncertain properties
Author: Brown, A. W.
Awarding Body: University of Cambridge
Current Institution: University of Cambridge
Date of Award: 2003
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Abstract:
Statistical Energy Analysis is a method commonly used in the engineering analysis of complex dynamic systems at medium or high frequencies. This research is particularly motivated by the lack of a successful general method for the prediction of response variance when using this technique. For a structure with sufficient parameter randomness, a method based on certain universal properties of the eigensolutions of a structure is proposed, which does not rely on knowledge of the statistics of the structural parameters. The physics literature on random matrix theory contains evidence that the eigensolutions of elastodynamic structures may be described by results from a specific ensemble of matrices, called the ‘Gaussian Orthogonal Ensemble’. The random matrix theory results are shown to match numerical results generated by consideration of rectangular mass or stiffness loaded plates, given enough structural irregularity. The energy density response variance of a generic elastodynamic structure is analysed using point process theory. It is found that a prediction which assumes full Gaussian Orthogonal Ensemble statistics corresponds well to the frequency response statistics of an ensemble of rectangular mass and stiffness loaded plate, if there is sufficient randomly placed point mass and stiffness. In some cases discrepancies are found between theory and simulation, and possible reasons for these are identified. A numerical investigation of the form of the energy PDF for the plate simulation is carried out. The statistics of a point-to-point transfer function are also investigated using point process theory.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.596977  DOI: Not available
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