Finite element modeling for validation of structural damage identification experimentation. Metadata

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  • Main Title Finite element modeling for validation of structural damage identification experimentation.


  • Author: Stinemates, D. W. (Daniel W.)
    Creator Type: Personal
  • Author: Bennett, J. G. (Joel G.)
    Creator Type: Personal


  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization


  • Name: Los Alamos National Laboratory
    Place of Publication: United States


  • Creation: 2001-01-01


  • English


  • Content Description: The project described in this report was performed to couple experimental and analytical techniques in the field of structural health monitoring and darnage identification. To do this, a finite dement model was Constructed of a simulated three-story building used for damage identification experiments. The model was used in conjunction with data from thie physical structure to research damage identification algorithms. Of particular interest was modeling slip in joints as a function of bolt torque and predicting the smallest change of torque that could be detected experimentally. After being validated with results from the physical structure, the model was used to produce data to test the capabilities of damage identification algorithms. This report describes the finite element model constructed, the results obtained, and proposed future use of the model.
  • Physical Description: 5 p.


  • Keyword: Monitoring
  • Keyword: Fasteners
  • Keyword: Damage
  • Keyword: Torque
  • Keyword: Simulation
  • STI Subject Categories: 42 Engineering
  • Keyword: Algorithms
  • Keyword: Slip
  • Keyword: Validation


  • Conference: Submitted to: The 20th International Modal Analysis Conference, Los Angeles, CA, February 4-7, 2002


  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI


  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article


  • Text


  • Report No.: LA-UR-01-5622
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 975786
  • Archival Resource Key: ark:/67531/metadc934310