Random Vibration Based Robust Damage Detection for a Composite Aerostructure Under Assembly-Induced Uncertainty

Andriosopoulou, Georgia; Mastakouris, Andreas; Vamvoudakis-Stefanou, Kyriakos; Fassois, Spilios D.

doi:10.1007/978-981-13-8331-1_61

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Yet, extensions to either the multiple sensor and/or the excitation-response case is rather straightforward. 48,49 Moreover, the method is based on autoregressive (AR) modeling 50 of the measured random vibration signals, with the models capturing the underlying structural dynamics. These models are characterized by simplicity and computational efficiency, while also leading to effective damage detection 8,51,52 and—potentially—to precise damage localization and magnitude estimation procedures.…”

Section: Introductionmentioning

confidence: 99%

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

Kyriakos

Fassois

Sakellariou

2021

Structural Health Monitoring

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A novel, unsupervised, hypersphere-based healthy subspace method for robust damage detection under non-quantifiable uncertainty via a limited number of random vibration response sensors is postulated. The method is based on the approximate construction, within a proper feature space, of a healthy subspace representing the healthy structural dynamics under uncertainty as the union of properly selected hyperspheres. This is achieved via a fully automated algorithm eliminating user intervention, and thus subjective selections, or complex optimization procedures. The main asset of the proposed method lies in combining simplicity and full automation with high performance. Its performance is systematically assessed via two experimental case studies featuring various uncertainty sources and distinct healthy subspace geometries, while interesting comparisons with three well-known robust damage detection methods are also performed. The results indicate excellent detection performance, which also compares favorably to that of alternative methods.

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Section: Introductionmentioning

confidence: 99%

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

Kyriakos

Fassois

Sakellariou

2021

Structural Health Monitoring

View full text Add to dashboard Cite

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Response-Only Damage Detection Approach of CFRP Gas Tanks Using Clustering and Vibrational Measurements

Zacharakis

Giagopoulos

2021

Applied Mechanics

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The advancements in the automotive, aviation, and aerospace industry have led to an increased usage of CFRP high-pressure gas tanks. In order to avoid any fatal accidents, the inspection procedures require accuracy, but also practicality, to be used in the industry. The presented work focuses on response-only metrics from vibrational experimental measurements of the CFRP tank. The power spectral density and transmittance function curves are both compared for the accuracy and ability to be used as metrics for damage detection. Along with the selection of the proper metric, an appropriate clustering algorithm that can accurately group similar states of the structure is of high importance. Two clustering algorithms, agglomerative hierarchical and spectral clustering, are employed and compared for their performance. A small Type V CFRP tank is used as an experimental structure on this benchmark problem. In order to create realistic material damage, the tank is placed on an impact system multiple times where different damage magnitudes are created. After each new state and damage magnitude on the tank, vibrational experimental data are collected. Using the collected data, all the combinations of the mentioned metrics and algorithms are executed and properly compared to evaluate their accuracy.

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Random Vibration Based Robust Damage Detection for a Composite Aerostructure Under Assembly-Induced Uncertainty

Cited by 2 publications

References 13 publications

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

Response-Only Damage Detection Approach of CFRP Gas Tanks Using Clustering and Vibrational Measurements

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