Image Based Damage Detection Method for Composite Panel With Guided Elastic Wave Technique : Part Ⅰ. Damage Localization Algorithm

Frequency Change Ratio (FCR) based damage detection methodology for structural health monitoring (SHM) is analyzed in detail. The effectiveness of damage localization using FCR for some slight damage cases and worse ones are studied on an asymmetric planar truss numerically. Disadvantages of damage detection using FCR in practical application are found and the reasons for the cases are discussed. To conquer the disadvantages of FCR, an Improved Frequency Change Ratio (IFCR) based damage detection method which takes the changes of mode shapes into account is proposed. Verification is done in some damage cases and the results reveal that IFCR can identify the damage more efficiently. Noisy cases are considered to assess the robustness of IFCR and results indicate that the proposed method can work well when the noise is not severe.

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A Damage Detection Method: CMSE Combined with Niche GA

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.334-335.929 ◽

2007 ◽

Vol 334-335 ◽

pp. 929-932 ◽

Cited By ~ 2

Author(s):

Xu Ge ◽

Yun Ju Yan ◽

Huan Guo Chen

Keyword(s):

Composite Material ◽

Damage Detection ◽

Composite Structures ◽

Structural Damage ◽

Strain Energy ◽

Detection Method ◽

Detection Methods ◽

Damage Localization ◽

Complex Structures ◽

Modal Strain Energy

The paper presents an effective damage detection method of complex composite structures. It can be carried out through the experimental modal analysis of the damaged structure. The method using the improved Cross Modal Strain Energy (CMSE) technique and Niche GA has many advantages compared with other damage detection methods. The CMSE method can use any modes of the structure and the modes don’t need to be normalized or consistent in scale. The Niche GA improves the efficiency of the calculation and enhances the capacity of identifying structural damage localization. The model is the composite material airfoil case. The numerical results show that the method proposed in this paper is successful for damage detection of complex structures.

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Reliability Assessment of SHM Methodologies for Damage Detection

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.713.244 ◽

2016 ◽

Vol 713 ◽

pp. 244-247 ◽

Cited By ~ 2

Author(s):

Hidekazu Tanaka ◽

Zahra Sharif Khodaei

Keyword(s):

Damage Detection ◽

Detection Method ◽

Reliability Assessment ◽

Detection Algorithm ◽

Composite Panel ◽

Distribution Map ◽

Outlier Analysis ◽

Imaging Algorithms ◽

Diagnostic Outcome

Probability-based imaging which illustrates a distribution map of probability of damage presence in structures is a diagnostic method well established for damage detection in sensorized structures. Since the quality of the recorded signal is directly linked to the reliability of the diagnostic outcome, the assessment of robustness of the damage detection methodology is of high significance. In this paper, robustness and reliability of the current probability based imaging algorithms have been assessed for detecting BVID in a composite panel. Consequently, a proposed outlier analysis and DI probability distribution damage detection algorithm was shown to improve the reliability of the detection method.

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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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Probability-based diagnostic imaging with corrected weight distribution for damage detection of stiffened composite panel

Structural Health Monitoring ◽

10.1177/14759217211033967 ◽

2021 ◽

pp. 147592172110339

Author(s):

Guoqiang Liu ◽

Binwen Wang ◽

Li Wang ◽

Yu Yang ◽

Xiaguang Wang

Keyword(s):

Distribution Function ◽

Diagnostic Imaging ◽

Weight Distribution ◽

Composite Structures ◽

Damage Identification ◽

Guided Wave ◽

Composite Panel ◽

Damage Localization ◽

Localization Accuracy ◽

Direct Interpretation

Due to no requirement for direct interpretation of the guided wave signal, probability-based diagnostic imaging (PDI) algorithm is especially suitable for damage identification of complex composite structures. However, the weight distribution function of PDI algorithm is relatively inaccurate. It can reduce the damage localization accuracy. In order to improve the damage localization accuracy, an improved PDI algorithm is proposed. In the proposed algorithm, the weight distribution function is corrected by the acquired relative distances from defects to all actuator–sensor pairs and the reduction of the weight distribution areas. The validity of the proposed algorithm is assessed by identifying damages at different locations on a stiffened composite panel. The results show that the proposed algorithm can identify damage of a stiffened composite panel accurately.

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