Assessment of damage identification algorithms on experimental and numerical bridge data

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Description

Over the past 25 years, the use of vibrational parameters for detecting damage in a structure has received considerable attention from the civil, aerospace, and mechanical engineering communities. The general idea is that changes in the structure`s physical properties, primarily stiffness, will alter the dynamic properties of the structure such as resonant frequencies and mode shapes. Properties such as the flexibility matrix, stiffness matrix, and mode shape curvature, which are obtained through manipulation of the modal parameters, have shown promise in localizing structural damage. In this paper, five techniques for damage assessment are demonstrated and compared using experimental and analytical ... continued below

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8 p.

Creation Information

Jauregui, D.V. & Farrar, C.R. December 1, 1995.

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Description

Over the past 25 years, the use of vibrational parameters for detecting damage in a structure has received considerable attention from the civil, aerospace, and mechanical engineering communities. The general idea is that changes in the structure`s physical properties, primarily stiffness, will alter the dynamic properties of the structure such as resonant frequencies and mode shapes. Properties such as the flexibility matrix, stiffness matrix, and mode shape curvature, which are obtained through manipulation of the modal parameters, have shown promise in localizing structural damage. In this paper, five techniques for damage assessment are demonstrated and compared using experimental and analytical data from a highway bridge.

Physical Description

8 p.

Notes

OSTI as DE96002778

Source

  • American Society of Civil Engineers structures congress, Chicago, IL (United States), 15-18 Apr 1996

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  • Other: DE96002778
  • Report No.: LA-UR--95-3443
  • Report No.: CONF-960459--1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 202428
  • Archival Resource Key: ark:/67531/metadc666907

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Creation Date

  • December 1, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Feb. 29, 2016, 1:13 p.m.

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Jauregui, D.V. & Farrar, C.R. Assessment of damage identification algorithms on experimental and numerical bridge data, article, December 1, 1995; New Mexico. (digital.library.unt.edu/ark:/67531/metadc666907/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.