A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations

Guan, Xuefei; Wang, Yongxiang; He, Jingjing

doi:10.3390/e19010027

Cited by 12 publications

(7 citation statements)

References 43 publications

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“…The detailed process of AED is briefly described as follows. First, suppose that the given data have k different classes and each class has n samples of length L. Then, initialize the parameters m, ε in SDE and set ε ∊ [ 2 , 20 ]; m is set according to

< L. Calculate the SDE value of each sample i th class, and calculate the Euclidean distance (ED) between the i th and j th classes. A larger AED value means that the conditions are more distinguishable, which means that the SDE has a better ability to extract useful information from the vibration signals.…”

Section: Methodsmentioning

confidence: 99%

“…Rojas used ultrasound to detect tiny perforations in plate-shaped structural members and discussed the optimal configuration of the sensor [ 19 ]. In 2017, Wimarshana et al used wavelet transformation and sampling entropy to detect breathing cracks on a cantilever beam and optimized the sampling entropy parameters [ 20 ]. After the optimization process, the detection efficiency was improved.…”

Section: Introductionmentioning

confidence: 99%

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Damage Detection of Regular Civil Buildings Using Modified Multi-Scale Symbolic Dynamic Entropy

Lin

Lee

Hsu

et al. 2022

Entropy

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Based on the examination of the fundamental characteristics of structures, structural health monitoring (SHM) has received increased attention in recent years. Studies have shown that the SHM method using entropy analysis can precisely identify the damaged location of the structure, which is very helpful for the daily inspection or maintenance of civil structures. Although entropy analysis has shown excellent accuracy, it still consumes too much time and too many resources in terms of data processing. To improve the dilemma, in this study, modified multi-scale symbolic dynamic entropy (MMSDE) is adopted to identify the damaged location of the civil structure. A damage index (DI) based on the entropy diagram is also proposed to clearly indicate the damage location. A seven-story numerical model was created to verify the efficiency of the proposed SHM system. The results of the analysis of each case of damage show that the MMSDE curve for the damaged floor is lower than that for the healthy floor, and the structural damage can be correctly diagnosed by the damage index. Subsequently, a scaled-down steel benchmark experiment, including 15 damage cases, was conducted to verify the practical performance of the SHM system. The confusion matrix was used to further evaluate the SHM system. The results demonstrated that the MMSD-based system can quickly diagnose structural safety with reliability and accuracy. It can be used in the field of long-term structural health monitoring in the near future.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Damage Detection of Regular Civil Buildings Using Modified Multi-Scale Symbolic Dynamic Entropy

Lin

Lee

Hsu

et al. 2022

Entropy

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“…A single random excitation test can determine it through a basic spectral analysis. Still, according to Guan et al [2017], it can be obtained using a single and random structural point.…”

Section: Damage Monitoring Using Modal Datamentioning

confidence: 99%

Sensor Placement Optimization of a Helicopter Main Rotor Blade

Pereira¹,

Francisco²,

Jorge³

et al. 2022

Uncertainty Modeling: Fundamental Concepts and Models

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This chapter describes the importance of one of the major areas within Structural HealthMonitoring and Health and Usage Monitoring Systems: Sensor Placement Optimization (SPO). In this sense, the most important SPO metrics are presented and discussed with the reader. The methodological procedure of the optimization problem statement is also considered and discussed. he significance of rotary-wing aircraft, damages that can occur in the blade, works related to damage identification, modern methods and algorithms that have been used in this context, and a comprehensive SPO study for a helicopter main rotor blade will be presented. Finally, a new technique that considers the number of sensors as an objective associated with some of the main metrics used in SPO. The technique uses the Multiobjective Lichtenberg Algorithm and Feature Selection, an important area used in Data Mining.

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“…In 2017, Wimarshana et al applied wavelet transformation and sampling entropy to detect breathing cracks on a cantilever beam and optimized the parameters of sampling entropy to increase detection efficiency [ 18 ]. Guan et al applied cross-sample entropy to the failure detection of shear structures and input white noise to simulate random loads by using finite element models [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings

Lin

Lee

2020

Entropy

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This study proposesd a novel, entropy-based structural health monitoring (SHM) system for measuring microvibration signals generated by actual buildings. A structural health diagnosis interface was established for demonstration purposes. To enhance the reliability and accuracy of entropy evaluation at various scales, composite multiscale cross-sample entropy (CMSCE) was adopted to increase the number of coarse-grained time series. The degree of similarity and asynchrony between ambient vibration signals measured on adjacent floors was used as an in-dicator for structural health assessment. A residential building that has been monitored since 1994 was selected for long-term monitoring. The accumulated database, including both the earthquake and ambient vibrations in each seismic event, provided the possibility to evaluate the practicability of the CMSCE-based method. Entropy curves obtained for each of the years, as well as the stable trend of the corresponding damage index (DI) graphs, demonstrated the relia-bility of the proposed SHM system. Moreover, two large earthquake events that occurred near the monitoring site were analyzed. The results revealed that the entropy values may have been slightly increased after the earthquakes. Positive DI values were obtained for higher floors, which could provide an early warning of structural instability. The proposed SHM system is highly stable and practical.

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A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations

Cited by 12 publications

References 43 publications

Damage Detection of Regular Civil Buildings Using Modified Multi-Scale Symbolic Dynamic Entropy

Damage Detection of Regular Civil Buildings Using Modified Multi-Scale Symbolic Dynamic Entropy

Sensor Placement Optimization of a Helicopter Main Rotor Blade

Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings

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