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Volumn 245-246, Issue , 2003, Pages 35-42

Damage detection in large-scale laboratory bridge models

Author keywords

Bridges; Finite Elements; Structural Dynamics; Structural Health Monitoring

Indexed keywords

COMPUTER SIMULATION; FINITE ELEMENT METHOD; INTEGRATION; MONITORING; PATTERN RECOGNITION; STATISTICAL METHODS; STIFFNESS; VIBRATIONS (MECHANICAL);

EID: 0037526548     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (3)
  • 1
    • 84895854562 scopus 로고    scopus 로고
    • The Use of vibration data for damage detection in bridges: A comparison of system identification and pattern recognition approaches
    • under review
    • N Haritos & J S Owen, "The Use of Vibration Data for Damage Detection in Bridges: A Comparison of System Identification and Pattern Recognition Approaches." International Journal of Structural Health Monitoring (under review)
    • International Journal of Structural Health Monitoring
    • Haritos, N.1    Owen, J.S.2
  • 2
    • 0034975911 scopus 로고    scopus 로고
    • Pattern recognition methods for damage diagnosis in structures from vibration measurements
    • I Trendafilova, "Pattern recognition methods for damage diagnosis in structures from vibration measurements." Key Engineering Materials Vols 204-205, (2001) pp 85-94
    • (2001) Key Engineering Materials , vol.204-205 , pp. 85-94
    • Trendafilova, I.1
  • 3
    • 0035902057 scopus 로고    scopus 로고
    • Structural Damage detection using artificial neural networks and measured FRF data reduced via principal component projection
    • C Zang & M Imregun, "Structural Damage detection using artificial neural networks and measured FRF data reduced via principal component projection", Journal of Sound and Vibration, Vol 242(5), (2001), pp 813-827
    • (2001) Journal of Sound and Vibration , vol.242 , Issue.5 , pp. 813-827
    • Zang, C.1    Imregun, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.