Guided wave‐based damage assessment on welded steel I‐beam under ambient temperature variations

Tu, Jiaqi; Tang, Zhifeng; Yun, Chung Bang; Wu, Jianjun; Xu, Xiaomei

doi:10.1002/stc.2696

Cited by 11 publications

(7 citation statements)

References 51 publications

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“…According to the existing research [26,34], the generation of guided wave mode is related to excitation in that the desired mode can be excited effectively if the position and direction of excitation signals are the same as the direction of desired mode. Therefore, the midpoint of the long edge and the midpart of the short edge are selected as the best excitation points to conduct guided wave excitation in the vertical direction perpendicular to the detected area.…”

Section: Dispersion Characteristics Analysis Based On Safe Methodsmentioning

confidence: 99%

“…Zhang et al [25] presented the excitation and propagation of guided waves in arbitrary cross-section structures by coupling the normal mode expansion (NME) method with the SAFE method, and then the well-established method was used to develop a double mode inspection strategy for multi-damage identification. Tu et al [26] investigated the feasibility and effectiveness of the guided wave-based technique for the damage assessment of a welded I-beam under various environments using the PCA and ICA methods. With regard to the damage detection of square steel tubes using UGWs, Wan [1] investigated frequency dispersion characteristics and selected the appropriate guided wave mode to inspect through-hole and slot damages.…”

Section: Introductionmentioning

confidence: 99%

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Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Yang

Zhou

2023

Symmetry

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Square steel tube, which is widely used in civil engineering, can suffer from a wide variety of damages and aging defects, thus its nondestructive testing (NDT) has attracted wide attention. This work proposes an ultrasonic guided wave (UGW)-based damage detection method for square steel tubes using structure symmetry. Firstly, the dispersion characteristics of square steel tubes are obtained using the semi-analytical finite element (SAFE) method, after which the optimal guided wave modes for damage located on the long and short edges of the steel tube are selected by modal analysis. Then, using the symmetry of the square steel tube’s section, the symmetric layout scheme of the transmitters and the receivers is designed; on this basis, a signal processing strategy for damage detection is proposed by subtracting the receiving signals obtained from symmetric positions. Finally, the effectiveness of the proposed damage detection method is verified by numerical simulations and laboratory experiments. The results show that the proposed method has good inspection accuracy for crack and hole damages on both the long and short edges of square steel tube because the dispersion effect and clutters can be reduced utilizing structure symmetry. It is worth mentioning that the inspection effect for corner holes can be enhanced by modifying the position of the receivers.

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Section: Dispersion Characteristics Analysis Based On Safe Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Yang

Zhou

2023

Symmetry

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“…Many researchers have used finite element (FE) simulations to investigate the wave propagation problems. [34][35][36][37][38][39][40][41][42] For example, Alleyne and Cawley 35 assessed the interaction of the Lamb waves and defects in plate-like structures using FE simulations. They showed that different parameters affect the sensitivity of Lamb waves to defects, including the geometry of the plate, wave mode, wave frequency-thickness, and the type of the notch defect.…”

Section: Introductionmentioning

confidence: 99%

“…The finite element method (FEM) is the most stable numerical solution technique to study the characteristics of wave propagation in different structures. Many researchers have used finite element (FE) simulations to investigate the wave propagation problems 34–42 . For example, Alleyne and Cawley 35 assessed the interaction of the Lamb waves and defects in plate‐like structures using FE simulations.…”

Section: Introductionmentioning

confidence: 99%

Detection and characterization of matrix cracking in fiber‐metal laminates using Lamb wave propagation

Fattahi

Ramezani

Shokrieh

et al. 2022

Structural Contr & Hlth

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The purpose of the present study was to assess the capability of finite element (FE) simulations of guided Lamb wave propagation for the characterization of the modulus of fiber-metal laminates (FMLs) and detection of the matrix cracking in them. An FE model of an FML specimen with a [Al/90 2 /Al/ 90 2 /Al] layup was developed. The matrix cracking with different densities was also induced in the fiber-reinforced composite layers of the FML model. The fundamental antisymmetric Lamb wave mode was propagated on the developed model at frequencies from 50 to 300 kHz. The Lamb wave velocity was obtained from the FE models at different frequencies. Then, the inverse Lamb wave propagation problem was solved and the elastic modulus of the simulated FML specimen was estimated. An experimental program was conducted to evaluate the results of FE simulations. The FML specimens with the same layup and materials were fabricated and underwent the tensile and Lamb wave propagation tests. The average elastic moduli of the specimens obtained from the tests, classical lamination theory, and FE simulations were in good agreement, especially at low frequencies. It was observed that the sensitivity of the Lamb wave velocity to matrix cracks was higher at high frequencies.

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“…29 Furthermore, it has been combined with other methods, such as the AR model, independent component analysis, and artificial neural networks to eliminate significant environmental effects for more reliable anomaly detection. [30][31][32][33] During the long-term SHM, missing data are inevitable for various reasons, such as sensor failure, power depletion, and unstable data transmission under harsh environmental conditions. 13 Incomplete data may lead to inaccuracy in estimating the PC axes using traditional PCA, ultimately resulting in the failure of anomaly detection.…”

Section: Introductionmentioning

confidence: 99%

An MPPCA-based approach for anomaly detection of structures under multiple operational conditions and missing data

Zhi

Luo

Yun

et al. 2022

Structural Health Monitoring

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Structural anomaly detection based on the structural health monitoring (SHM) data has attracted significant attention owing to its important role in the early warning of structural damage to existing civil structures. Data-driven approaches, where damage-sensitive features are extracted directly from the SHM data using statistical pattern recognition (SPR) techniques without physical models of structures, have been widely studied. Principal component analysis (PCA) and probabilistic PCA (PPCA) are powerful and efficient SPR methods for linear or weakly nonlinear cases. However, some special structures may be subjected to multiple operational conditions, wherein structural configurations such as geometry and mass distribution may change due to the movement of parts or the whole structure, as in retractable roof structures. These changes may give erroneous results in the SPR of the SHM data and eventually in the anomaly detection by a single PCA or PPCA model. This paper presents an improved approach using a mixture of probabilistic principal component analysis (MPPCA) for the anomaly detection of structures under multiple operational conditions with missing measurement data. First, the baseline MPPCA model was constructed for stress data collected under healthy conditions, where the estimation of the MPPCA parameters was reformulated for the missing data cases. Second, three anomaly statistics were presented for newly monitored incomplete data to detect and localize structural anomalies. The probability distributions of the anomaly statistics were estimated to obtain thresholds for outlier detection. Finally, the effectiveness of the MPPCA-based method was investigated by applying the method to the anomaly detection of a retractable roof structure with numerically simulated and real monitored stress data.

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Guided wave‐based damage assessment on welded steel I‐beam under ambient temperature variations

Cited by 11 publications

References 51 publications

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Detection and characterization of matrix cracking in fiber‐metal laminates using Lamb wave propagation

An MPPCA-based approach for anomaly detection of structures under multiple operational conditions and missing data

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