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Volumn , Issue , 2009, Pages

Health monitoring of partially instrumented structures

Author keywords

Ambient; Damage; Detection; Monitoring; Spline; Vibration

Indexed keywords

ACCELERATION PROFILES; AMBIENT; DAMAGE; DETECTION METHODS; HEALTH MONITORING; MULTISTOREY BUILDINGS; SHAPE FUNCTIONS; VIBRATION;

EID: 84858392671     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (16)
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  • 2
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    • Improved damage identification method based on modal information
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  • 4
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    • A numerical study of structural damage detection using changes in the rotation of mode shapes
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    • (2002) Journal of Sound and Vibration , vol.251 , Issue.2 , pp. 227-239
    • Abdo, M.A.B.1    Hori, M.2
  • 5
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    • Damage detection in bridges using modal curvatures: Application to a real damage scenario
    • Abdel Wahab M. M., De Roeck G. (1999) Damage detection in bridges using modal curvatures: application to a real damage scenario, Journal of Sound and Vibration 226 (2) 217-235.
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    • Abdel Wahab, M.M.1    De Roeck, G.2
  • 6
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    • Dynamic bending and torsion stiffness derivation from modal curvatures and torsion rates
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    • Maeck, J.1    De Roeck, G.2
  • 7
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    • Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes
    • E. Sazonov, P. Klinkhachorn. (2005). Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes. Journal of Sound and Vibration 285 (4-5) 783-801.
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    • Sazonov, E.1    Klinkhachorn, P.2
  • 8
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    • Damage detection using the frequency response function curvature method
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    • (1999) Journal of Sound and Vibration , vol.226 , Issue.5 , pp. 1029-1042
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  • 10
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    • Improved damage detection method based on element modal strain damage strain damage index using sparse measurement
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  • 11
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    • A damage detection approach based on responses interpolation
    • Portonovo di Ancona. Italy. May 2009
    • Limongelli, M.P. (2009b)., "A damage detection approach based on responses interpolation". IOMAC 2009. Portonovo di Ancona. Italy. May 2009.
    • (2009) IOMAC 2009
    • Limongelli, M.P.1
  • 12
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    • Optimal location of sensors for reconstruction of seismic responses through spline function interpolation
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  • 14
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    • Time-series methods for fault detection and identification in vibrating structures
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  • 15
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.