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Fundamental modeling issues on benchmark structure for structural health monitoring 被引量:2

Fundamental modeling issues on benchmark structure for structural health monitoring
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摘要 The IASC-ASCE Structural Health Monitoring Task Group developed a series of benchmark problems, and participants of the benchmark study were charged with using a 12-degree-of-freedom (DOF) shear building as their identification model. The present article addresses improperness, including the parameter and modeling errors, of using this particular model for the intended purpose of damage detec- tion, while the measurements of damaged structures are synthesized from a full-order finite-element model. In addressing parameter errors, a model calibration procedure is utilized to tune the mass and stiffness matrices of the baseline identification model, and a 12-DOF shear building model that preserves the first three modes of the full-order model is obtained. Sequentially, this calibrated model is employed as the baseline model while performing the damage detection under various damage scenarios. Numerical results indicate that the 12-DOF shear building model is an over-simplified identification model, through which only idealized damage situations for the benchmark structure can be detected. It is suggested that a more sophisticated 3-dimensional frame structure model should be adopted as the identification model, if one intends to detect local member damages correctly. The IASC-ASCE Structural Health Monitoring Task Group developed a series of benchmark problems, and participants of the benchmark study were charged with using a 12-degree-of-freedom (DOF) shear building as their identification model. The present article addresses improperness, including the parameter and modeling errors, of using this particular model for the intended purpose of damage detection, while the measurements of damaged structures are synthesized from a full-order finite-element model. In addressing parameter errors, a model calibration procedure is utilized to tune the mass and stiffness matrices of the baseline identification model, and a 12-DOF shear building model that preserves the first three modes of the full-order model is obtained. Sequentially, this calibrated model is employed as the baseline model while performing the damage detection under various damage scenarios. Numerical results indicate that the 12-DOF shear building model is an over-simplified identification model, through which only idealized damage situations for the benchmark structure can be detected. It is suggested that a more sophisticated 3-dimensional frame structure model should be adopted as the identification model, if one intends to detect local member damages correctly.
出处 《Science China(Technological Sciences)》 SCIE EI CAS 2009年第7期1999-2008,共10页 中国科学(技术科学英文版)
基金 Supported by the National Hi-Tech Research and Development Program of China("863"Project)(Grant No.2006AA09Z331) the National Science Fund for Distinguished Young Scholars(Grant No.50325927)
关键词 BENCHMARK structural HEALTH monitoring DAMAGE detection modeling ERROR benchmark structural health monitoring damage detection modeling error
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参考文献13

  • 1Huajun Li,Min Zhang,Sau-Lon James Hu.Refinement of reduced-models for dynamic systems[J].Progress in Natural Science:Materials International,2008,18(8):993-997. 被引量:3
  • 2Dyke S J,Bernal D,Beck J L,et al.An experimental benchmark problem in structural health monitoring. Processing3rd Interna-tional Workshop on Structural Health Monitoring . 2001
  • 3Doebling S W,Farrar C R,Prime M B.A summary review of vibration-based damage identification methods. Shock and Vibration Digest, The . 1998
  • 4Sohn H,Farrar C R,Hemez F M,et al.A Review of Structural Health Monitoring Literature: 1996-2001. LA-13976-MS . 2003
  • 5Adriana Hera,Zhikun Hou.Application of wavelet approach for ASCE structural health monitoring benchmark studies. Journal of Engineering . 2004
  • 6Doebling S,Farrar C,Prime M, et al.Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. Los Alamos National laboratory report LA-13070-MS . 1996
  • 7Johnson E A,Lam H F,Katafygiotis L S,et al.Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data. Journal of Engineering Mechanics Division ASCE . 2004
  • 8Lam,H,Katafygiotis,S,Mickleborough,N.Application of a statistical model updating approach on phase I of the IASC-ASCE structural health monitoring benchmark study. J Eng Mechan . 2004
  • 9Caicedo,J,Dyke,S,Johnson,E.Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: Simulated data. J Eng Mechan . 2004
  • 10Barroso L R,Rodriguez R.Damage detection utilizing the damage index method to a benchmark structure. Journal of Engineering . 2004

二级参考文献9

  • 1[1]Guyan RJ.Reduction of stiffness and mass matrices.AIAA J 1965;3(2):380.
  • 2[2]Paz M.Dynamic condensation.AIAA J 1984;22(5):724-7.
  • 3[3]Craig RJ,Bampton M.Coupling of substructures for dynamic analyses.AIAA J 1968;6(7):1313-9.
  • 4[4]Ewins DJ.Modal Testing:Theory Practice and Application.2nd ed.Research Studies Press; 2000.
  • 5[5]Friswell MI,Mottershead JE.Finite Element Model Updating in Structural Dynamics.Swansea:Kluwer Academic Publishers; 1995.
  • 6[6]Hu S-LJ,Li HJ,Wang SQ.Cross-model cross-mode method for model updating.Mechanical Systems and Signal Processing 2007;21(4):1690-703.
  • 7[7]Craig RJ.Structural Dynamics:An Introduction to Computer Methods.New York:John Wiley & Sons.Inc.; 1981.
  • 8[8]Paz M.Structural Dynamics:Theory and Computation.3rd ed.New York:Van Nostrand Reinhold; 1991.
  • 9[9]Gladwell GML.The inverse mode problem for lumped-mass systems.The Quarterly Journal of Mechanics and Applied Mathematics 1986;39(2):297-307.

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