Ultrasonic inspection of grouted splice sleeves in precast concrete structures using elastic reverse time migration method

Liu, Hai; Qi, Yuan; Chen, Zhijie; Tong, Huawei; Liu, Chao; Zhuang, Mingwei

doi:10.1016/j.ymssp.2020.107152

Cited by 35 publications

(12 citation statements)

References 32 publications

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“…To obtain the receiver wavefields, the measured signals at the receiver positions are time reversed and imposed as boundary conditions for the numerical computation of the backward simulation. For corresponding source and receiver wavefields an imaging condition is then computed [11,27], indicating the locations of largest discrepancy of assumed and actual material parameters, i.e., the location of defects in the structure. In this work, a zero-lag crosscorrelation imaging condition between source and receiver wavefields is used.…”

Section: Pc-based Elastic Reverse Time Migrationmentioning

confidence: 99%

Point cloud-based elastic reverse time migration for ultrasonic imaging of components with vertical surfaces

Rao

Wang

Kollmannsberger

et al. 2022

Mechanical Systems and Signal Processing

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Section: Pc-based Elastic Reverse Time Migrationmentioning

confidence: 99%

Point cloud-based elastic reverse time migration for ultrasonic imaging of components with vertical surfaces

Rao

Wang

Kollmannsberger

et al. 2022

Mechanical Systems and Signal Processing

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“…Liu et al used the UT method to detect grouting defects in sleeve joints in PB structures. The results showed that the proposed ultrasonic testing method can be used to test the grouting quality of sleeve joints in field PB structures [ 27 ]. According to the research of the appellate scholars, the ultrasonic detection method for detecting the grouting defects of sleeves has the advantages of high efficiency, accuracy, and convenience for on-site use.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Damage Progress in the Defective Grouted Sleeve Connection Using Combined Acoustic Emission and Ultrasonics

Zhang

Fang

Tang

et al. 2022

Sensors

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The grouted sleeve connection is one of the most widely used connections for prefabricated buildings (PBs). Usually, its quality can have a significant impact on the safety of the whole PB, especially for the internal flaws that form during sleeve grouting. It is directly related to the mechanical performance and failure behavior of the grouted sleeve. Therefore, it is essential to understand the damage progression of the defective grouted sleeve connection. However, destructive testing is the mainstream measure to evaluate the grout sleeves, which is not applicable for in situ inspection. Therefore, this paper proposes a combined acoustic emission (AE) and ultrasonic testing (UT) method to characterize the damage progress of a grouted sleeve with different degrees of internal flaws under tensile loading. The UT was conducted before loading to evaluate the internal flaws. Additionally, the AE was used as the processing monitoring technique during the tensile testing. Two damage modes were identified: (i) brittle mode associated with the rebar pullout; (ii) ductile mode associated with the rapture of the rebar. The UT energy ratio was selected as the most sensitive feature to the internal flaws, both numerically and experimentally. The AE signatures of different damage phases and different damage modes were determined and characterized. For the brittle and ductile damage modes, two and three phases appeared in the AE activities, respectively. The proposed combined AE and UT method can provide a reliable and convenient nondestructive evaluation of grouted sleeves with internal flaws. Moreover, it can also characterize the damage progress of the grouted sleeve connections in real-time.

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“…This method realized defect detection in plate structures and the compensation for guided wave dispersion effects [ 33 , 34 ]. Compared with the traditional ultrasonic imaging method, the RTM method can reconstruct the images of buried sleeves with a higher resolution and a greatly improved accuracy [ 35 ]. Gao X et al [ 36 ] successfully detected defects in multilayer media with RTM method.…”

Section: Introductionmentioning

confidence: 99%

An Ultrasonic Reverse Time Migration Imaging Method Based on Higher-Order Singular Value Decomposition

Zhang

Gao

Zhang

et al. 2022

Sensors

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An ultrasonic reverse time migration imaging method, based on high-order singular value decomposition, is proposed in the study to solve the problems of low signal-to-noise ratio (SNR) and excessive artifacts in defect ultrasonic detection imaging results of materials with high noise levels. In this method, based on the 3D structural properties of the ultrasonic full-matrix capture data, higher-order singular value decomposition is directly performed with the 3D data. The method overcomes the difficulty in selecting the number of singular values in the original singular value decomposition noise-reduction algorithm and realizes the one-step noise reduction processing of all the signals. Subsequently, the reverse time migration imaging is performed in the frequency domain, and high-quality acoustic images are obtained. The effects of the number of array elements, the center frequency of the excitation signal, and the number of defects on the denoising effect of the algorithm are investigated. It was experimentally demonstrated that the method could suppress the interference of noise signals and significantly improve the imaging SNR compared with total focusing method and the reverse time migration.

show abstract

Ultrasonic inspection of grouted splice sleeves in precast concrete structures using elastic reverse time migration method

Cited by 35 publications

References 32 publications

Point cloud-based elastic reverse time migration for ultrasonic imaging of components with vertical surfaces

Point cloud-based elastic reverse time migration for ultrasonic imaging of components with vertical surfaces

Characterization of Damage Progress in the Defective Grouted Sleeve Connection Using Combined Acoustic Emission and Ultrasonics

An Ultrasonic Reverse Time Migration Imaging Method Based on Higher-Order Singular Value Decomposition

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