Application of sonic IR imaging in civil structure health assurance

He, Qi; Han, Xiaoyan

doi:10.1063/1.4716274

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…As one of the pioneering groups in sonic IR technique, researchers at Wayne State University have also paid much attention to the damage assessment in civil structures [ 45 , 56 ]. Effective monitoring techniques for these large sized structures are necessary and urgent.…”

Section: Multi-wave Phenomena and Imagingmentioning

confidence: 99%

“…Theoretical computing was also employed to assist the experiment. They made a further investigation of the heating patterns and some common fatigue cracks in other similar structures, which was published in 2012 [ 56 ]. The experiment on the fatigue crack around a rivet/bolt hole and welding joints proved the potential of this technology as a future tool for SHM.…”

Section: Multi-wave Phenomena and Imagingmentioning

confidence: 99%

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Multi-Wave and Hybrid Imaging Techniques: A New Direction for Nondestructive Testing and Structural Health Monitoring

Cheng

Deng

Cao

et al. 2013

Sensors

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In this article, the state-of-the-art multi-wave and hybrid imaging techniques in the field of nondestructive evaluation and structural health monitoring were comprehensively reviewed. A new direction for assessment and health monitoring of various structures by capitalizing the advantages of those imaging methods was discussed. Although sharing similar system configurations, the imaging physics and principles of multi-wave phenomena and hybrid imaging methods are inherently different. After a brief introduction of nondestructive evaluation (NDE), structure health monitoring (SHM) and their related challenges, several recent advances that have significantly extended imaging methods from laboratory development into practical applications were summarized, followed by conclusions and discussion on future directions.

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Section: Multi-wave Phenomena and Imagingmentioning

confidence: 99%

Section: Multi-wave Phenomena and Imagingmentioning

confidence: 99%

Multi-Wave and Hybrid Imaging Techniques: A New Direction for Nondestructive Testing and Structural Health Monitoring

Cheng

Deng

Cao

et al. 2013

Sensors

View full text Add to dashboard Cite

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Optimizing the Inversion Protocol to Determine the Geometry of Vertical Cracks from Lock-in Vibrothermography

et al. 2016

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The effect of defect size on the quantitative estimation of defect depth using sonic infrared imaging

Obeidat

Favro

et al. 2019

Review of Scientific Instruments

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Sonic infrared (SIR) imaging is a hybrid nondestructive evaluation (NDE) method that uses ultrasonic excitation along with thermal imaging to detect defects in materials and structures. SIR NDE uses an ultrasonic pulse in the 15–40 kHz range from a transducer to produce localized heating at the defect while a thermal camera will record surface temperature during the inspection. In a previous article, we presented a model that describes heat diffusion from subsurface defects in a composite material. The model uses certain aspects of the temperature-time curve for defect depth profiling, namely, half-maximum power time, the peak slope time, and the second derivative peak time. In this study, we investigate the effect of defect size on the quantitative estimation of defect depth. The theoretical results are calculated and compared with the experimental data. We demonstrate that the experimental data have good correlation with the theoretical calculation. The peak slope time and the second derivative peak time are less sensitive to changes in defect size than the half-maximum power time in the defect depth assessment.

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Application of sonic IR imaging in civil structure health assurance

Cited by 4 publications

References 6 publications

Multi-Wave and Hybrid Imaging Techniques: A New Direction for Nondestructive Testing and Structural Health Monitoring

Multi-Wave and Hybrid Imaging Techniques: A New Direction for Nondestructive Testing and Structural Health Monitoring

Optimizing the Inversion Protocol to Determine the Geometry of Vertical Cracks from Lock-in Vibrothermography

The effect of defect size on the quantitative estimation of defect depth using sonic infrared imaging

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