Damage detection method for shear buildings using the changes in the first mode shape slopes

Zhu, Hongping; Li, Lin; He, X. Q.

doi:10.1016/j.compstruc.2011.02.014

Cited by 67 publications

(27 citation statements)

References 15 publications

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“…The differences in the POM data sets extracted from the FRFs with a step of 0.02 Hz in the frequency range of 26-28 Hz at two states before and after the mass 6,7,8,9,10. Each plot has two curves depending on the existence of external noise.…”

Section: Damage Detection Of a Two-dimensional Frame Structurementioning

confidence: 99%

“…Utilizing the change in the first mode shape slopes and the sensitivity of modal parameters, Zhu et al [7] presented a damage detection method for shear buildings. Morita and Teshigawara [8] presented the parameter identification method and damage estimation method using the results obtained from the shaking table test of Abstract The structural health evaluation is performed by comparing the responses between the undamaged and damaged states.…”

Section: Introductionmentioning

confidence: 99%

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Damage identification of a frame structure model based on the response variation depending on additional mass

Lee

Eun

2014

Engineering with Computers

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Section: Damage Detection Of a Two-dimensional Frame Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Damage identification of a frame structure model based on the response variation depending on additional mass

Lee

Eun

2014

Engineering with Computers

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“…Generally, defect identification algorithms can be divided into model based and non-model based procedures according to using finite element model (FEM) or not. Algorithms [4][5][6][7][8][9][10][11][12][13][14][15][16] based on FEM assess structural defects by modifying structural FEM according to structural responses. The modifications of structural FEM will indicate the location and severity of the defect.…”

Section: Introductionmentioning

confidence: 99%

Structural Damage Localization by the Principal Eigenvector of Modal Flexibility Change

Yang

Sun

2016

Algorithms

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Using the principal eigenvector (PE) of modal flexibility change, a new vibration-based algorithm for structural defect localization was presented in this paper. From theoretical investigations, it was proven that the PE of modal flexibility variation has a turning point with a sharp peak in its curvature at the damage location. A three-span continuous beam was used as an example to illustrate the feasibility and superiority of the proposed PE algorithm for damage localization. Furthermore, defect localization was also performed using the well-known uniform load surface approach for comparison. Numerical results demonstrated that the PE algorithm can locate structural defects with good accuracy, whereas the ULS approach occasionally missed one or two defect locations. It was found that the PE algorithm may be promising for structural defect assessment.

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“…[1][2][3] Generally, the existing damage detection approaches can be clarified into two major categories, that is, the dynamic detection methods and the static detection methods. Significant efforts have already been devoted to developing dynamic detection methods using various vibration characteristics, such as natural frequencies, [4][5][6] mode shapes, [7][8][9][10][11] modal flexibility, [12][13][14][15] curvature, 11,16 modal strain energy, [17][18][19] and moving load responses. [20][21][22] Radzien´ski et al 10 defined new damage indicators based on the change in natural frequencies and any mode shape (measured or modeled) for beam-like structures.…”

Section: Introductionmentioning

confidence: 99%

Damage localization for beam structure by moving load

Yang

Liu

Sun

et al. 2017

Advances in Mechanical Engineering

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A static algorithm is presented in this article for damage localization in beam structures by moving load. Central to the damage localization approach is the combination of the moving load technique and the pure bending theory. The first advantage of the presented algorithm is that only a few sensors are needed in the static test. The second advantage of the presented algorithm is that only the deflection parameters of the current structure are needed in damage localization process. The proposed method is applied to a simple supported beam and its feasibility is verified using damage simulations. It was found that the defect location can be identified by inspecting the sudden increase in the curvature of the deflection curve for the beam. The results showed that the presented algorithm is effective on the localization of single damage or multiple damages in the beam structure without baseline data.

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Damage detection method for shear buildings using the changes in the first mode shape slopes

Cited by 67 publications

References 15 publications

Damage identification of a frame structure model based on the response variation depending on additional mass

Damage identification of a frame structure model based on the response variation depending on additional mass

Structural Damage Localization by the Principal Eigenvector of Modal Flexibility Change

Damage localization for beam structure by moving load

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