A STUDY ON PERFORMANCE ASSESSMENT OF DAMAGED BEAM BASED ON STATIC APPROACH

Starting from the derivation of an analytical method to expand measured static displacement data to full degrees of freedom, this study proposes a damage detection method to detect the damage of damaged beam by introducing displacement curvature and damage factor (DF). The validity of the proposed method is evaluated in damaged beam system that two simple beams are perpendicularly interconnected at a point.

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Substructure Damage Detection Method for Shear Structure Using Sub-Time Series and ARMAX

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.558.149 ◽

2013 ◽

Vol 558 ◽

pp. 149-159 ◽

Cited By ~ 1

Author(s):

Liu Mei ◽

Akira Mita ◽

Zhen Hua Xing

Keyword(s):

Time Series ◽

Damage Detection ◽

Degrees Of Freedom ◽

Detection Method ◽

Processing System ◽

Computing Power ◽

Detection Systems ◽

Iterative Computation ◽

Substructure Approach ◽

Shear Structure

A local damage detection method for shear structure based on substructure approach and sub-time series superposition is proposed, which is promising for application in parallel and distributed damage detection systems. This method requires only three sensors to identify localized damage in any story of a building and it doesnt require constructing the structure models. A substructure method was used in this method to divide a complete structure into several substructures. Each substructure has a considerably smaller number of degrees of freedom (DOFs) which makes fewer requirements on the computing power of the data processing system. The algorithm is simple, which involves only algebra calculation and does not need any iterative computation. Moreover the damage detection process can be independently conducted on each substructure. Thus, this method is easy, efficient and suitable for being embedded into parallel and distributed damage detection systems. To better assess the performance of the method proposed above, experimental verification of the proposed approach has been conducted, which shows the proposed method works quite well and stably.

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Mode Shape-Based Damage Detection Method (MSDI): Experimental Validation

Applied Sciences ◽

10.3390/app11104589 ◽

2021 ◽

Vol 11 (10) ◽

pp. 4589

Author(s):

Ivan Duvnjak ◽

Domagoj Damjanović ◽

Marko Bartolac ◽

Ana Skender

Keyword(s):

Boundary Conditions ◽

Damage Detection ◽

Mode Shape ◽

Experimental Validation ◽

Detection Method ◽

Dynamic Properties ◽

Damage Index ◽

Main Principle ◽

The Difference ◽

Different Levels

The main principle of vibration-based damage detection in structures is to interpret the changes in dynamic properties of the structure as indicators of damage. In this study, the mode shape damage index (MSDI) method was used to identify discrete damages in plate-like structures. This damage index is based on the difference between modified modal displacements in the undamaged and damaged state of the structure. In order to assess the advantages and limitations of the proposed algorithm, we performed experimental modal analysis on a reinforced concrete (RC) plate under 10 different damage cases. The MSDI values were calculated through considering single and/or multiple damage locations, different levels of damage, and boundary conditions. The experimental results confirmed that the MSDI method can be used to detect the existence of damage, identify single and/or multiple damage locations, and estimate damage severity in the case of single discrete damage.

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Elimination of outlier measurements for damage detection of structures under changing environmental conditions

Structural Health Monitoring ◽

10.1177/1475921721998476 ◽

2021 ◽

pp. 147592172199847

Author(s):

William Soo Lon Wah ◽

Yining Xia

Keyword(s):

Damage Detection ◽

Multiple Regression ◽

Natural Frequencies ◽

Detection Method ◽

Detection Methods ◽

Structure Model ◽

Bridge Structure ◽

Beam Structure ◽

Dependent Variables ◽

The Difference

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.

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

Computers & Structures ◽

10.1016/j.compstruc.2011.02.014 ◽

2011 ◽

Vol 89 (9-10) ◽

pp. 733-743 ◽

Cited By ~ 44

Author(s):

Hongping Zhu ◽

Lin Li ◽

Xiao-Qiao He

Keyword(s):

Damage Detection ◽

Mode Shape ◽

Detection Method ◽

Shear Buildings

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Study on Damage Detection of Bridge Based on Wavelet Multi-Scale Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.639-640.1010 ◽

2013 ◽

Vol 639-640 ◽

pp. 1010-1014 ◽

Cited By ~ 1

Author(s):

Ke Ding ◽

Ting Peng Chen

Keyword(s):

Wavelet Transform ◽

Damage Detection ◽

Detection Method ◽

Mode Shapes ◽

Scale Analysis ◽

Multi Scale ◽

Damage Location ◽

Transform Coefficients ◽

Beam Bridge ◽

Multi Scale Analysis

The damage detection method based on wavelet multi-scale analysis is presented in the paper. The damage location can be identified by analyzing the multi-scale wavelet transform coefficients of curvatures of mode shapes. The extreme value of wavelet transform coefficients indicates the damage location. But it is difficult to detect the location of defect if the defect is near to the equilibrium position of vibration. In order to solve this problem, we put forward a method which is to add the wavelet transform coefficients of multi modals together. The method can effectively overcome the above problem. Three damage situations of simply supported beam bridge are discussed in the paper. The results show that the peaks of wavelet transform coefficients indicate the damage location of structural. It is possible to pinpoint the damage location based on wavelet multi-scale analysis on curvatures of mode shapes.

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An Analytical Method for Locating Velocity Instantaneous Centers

22nd Biennial Mechanisms Conference: Flexible Mechanisms, Dynamics, and Analysis ◽

10.1115/detc1992-0400 ◽

1992 ◽

Author(s):

Hong-Sen Yan ◽

Meng-Hui Hsu

Keyword(s):

Analytical Method ◽

Degrees Of Freedom ◽

Coefficient Matrix ◽

Multiple Degrees Of Freedom ◽

Singular Configurations ◽

Special Cases

Abstract An analytical method is presented for locating all velocity instantaneous centers of linkage mechanisms with single or multiple degrees of freedom. The method is based on the fact that the coefficient matrix of the derived velocity equations for vector loops, independent inputs, and instantaneous centers is singular. This approach also works for special cases with kinematic indeterminacy or singular configurations.

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