IDENTIFICATION AND UNCERTAINTY ESTIMATION OF STRUCTURAL PARAMETERS

System identification techniques are being applied increasingly in connection with damage assessment and safety evaluation of structures. Unknown parameters are determined by numerical analysis of input and output measurements. Most studies identify parameter means without addressing the issue of parameter uncertainties. The research significance of this paper is the development and implementation of an adaptive procedure as an improvement of the conventional extended Kalman filter (EKF) method. The adaptive EKF method identifies the parameter values and gives a useful estimate of uncertainties. Two numerical examples of simulation with noise are presented: one to illustrate superior statistical performance of the proposed method and one to demonstrate numerical accuracy and efficiency of the method, with and without modeling error.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07339399
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • KOH, C G
  • See, L M
• Publication Date: 1994-6

Language

• English

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 1219-36
• Serial:
  • Journal of Engineering Mechanics
  • Volume: 120
  • Issue Number: 6
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9399
  • EISSN: 1943-7889
  • Serial URL: http://ascelibrary.org/journal/jenmdt

Subject/Index Terms

• TRT Terms: Identification systems; Input output models; Numerical analysis; Research; Structural tests; Uncertainty
• Uncontrolled Terms: Identification; Parameters; Structural testing
• Subject Areas: Bridges and other structures; Design; Economics; Highways; Research; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 00664755
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 25 1994 12:00AM