Structural Engineering and Mechanics

  • 제31권3호
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  • Pages.333-347
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  • 2009
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Study of the structural damage identification method based on multi-mode information fusion

  • Liu, Tao (School of Civil Engineering, Southeast University) ;
  • Li, AiQun (School of Civil Engineering, Southeast University) ;
  • Ding, YouLiang (School of Civil Engineering, Southeast University) ;
  • Zhao, DaLiang (School of Civil Engineering, Lanzhou Jiaotong University)
  • 투고 : 2007.07.30
  • 심사 : 2009.01.11
  • 발행 : 2009.02.20
⟨ 이전 논문 다음 논문 ⟩

초록

Due to structural complicacy, structural health monitoring for civil engineering needs more accurate and effectual methods of damage identification. This study aims to import multi-source information fusion (MSIF) into structural damage diagnosis to improve the validity of damage detection. Firstly, the essential theory and applied mathematic methods of MSIF are introduced. And then, the structural damage identification method based on multi-mode information fusion is put forward. Later, on the basis of a numerical simulation of a concrete continuous box beam bridge, it is obviously indicated that the improved modal strain energy method based on multi-mode information fusion has nicer sensitivity to structural initial damage and favorable robusticity to noise. Compared with the classical modal strain energy method, this damage identification method needs much less modal information to detect structural initial damage. When the noise intensity is less than or equal to 10%, this method can identify structural initial damage well and truly. In a word, this structural damage identification method based on multi-mode information fusion has better effects of structural damage identification and good practicability to actual structures.

키워드

참고문헌

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피인용 문헌

  1. Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement vol.2015, 2015, https://doi.org/10.1155/2015/627852
  2. Reliability sensitivities with fuzzy random uncertainties using genetic algorithm vol.60, pp.3, 2016, https://doi.org/10.12989/sem.2016.60.3.413
  3. Analysis and assessment of bridge health monitoring mass data—progress in research/development of “Structural Health Monitoring” vol.55, pp.8, 2012, https://doi.org/10.1007/s11431-012-4818-5
  4. Hypersensitivity of strain-based indicators for structural damage identification: A review vol.24, pp.3, 2010, https://doi.org/10.1016/j.ymssp.2009.11.002
  5. Diagnosis and recovering on spatially distributed acceleration using consensus data fusion vol.12, pp.3_4, 2013, https://doi.org/10.12989/sss.2013.12.3_4.271
  6. Dynamic analysis and shear connector damage identification of steel-concrete composite beams vol.13, pp.4, 2012, https://doi.org/10.12989/scs.2012.13.4.327
  7. Time-dependent effects on dynamic properties of cable-stayed bridges vol.41, pp.1, 2009, https://doi.org/10.12989/sem.2012.41.1.139
  8. Fragility and risk assessment for sliding artifacts in artifact-showcase-museum systems subjected to three-component ground motions vol.45, pp.None, 2009, https://doi.org/10.1016/j.jobe.2021.103635