Comparison of adaptive structural damage identification techniques in nonlinear hysteretic vibration isolation systems

Structural health monitoring (SHM) assists in condition assessments and the accurate identification of structural damage. One problem in SHM that is especially challenging for nonlinear hysteretic vibration isolation systems is damage identification based on real-time vibration data. Three time-domain analysis techniques have been proposed - the adaptive extended Kalman filter (AEKF), adaptive sequential nonlinear least-square estimation (ASNLSE) and adaptive quadratic sum-squares error (AQSSE). This study compares the accuracy, efficiency and practicality of the three techniques in tracking structural damage.

• Record URL:
  • https://doi.org/10.1007/s11803-013-0204-y
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16713664
• Authors:
  • Mu, Tengfei
  • Zhou, Li
  • Yang, Jann N
• Publication Date: 2013-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 659-667
• Serial:
  • Earthquake Engineering and Engineering Vibration
  • Volume: 12
  • Issue Number: 4
  • Publisher: Springer
  • ISSN: 1671-3664
  • EISSN: 1993-503X
  • Serial URL: http://link.springer.com/journal/11803

Subject/Index Terms

• TRT Terms: Condition surveys; Earthquake resistant structures; Flaw detection; Structural analysis; Structural health monitoring; Time domain analysis; Vibration isolation
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; I61: Equipment and Maintenance Methods;

Filing Info

• Accession Number: 01506323
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 2014 2:46PM