Author
Yuexin Huang
Bio: Yuexin Huang is an academic researcher from Fuzhou University. The author has contributed to research in topics: Signal processing & Coherence (signal processing). The author has an hindex of 1, co-authored 2 publications receiving 31 citations.
Papers
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TL;DR: In this article, the authors review the recent advances in nondestructive testing and evaluation (NDT&E) as applied to the inspection of thick composite parts and sandwich structures and determine possible research prospects to address the limitations of current technologies.
126 citations
TL;DR: The reason of chosen HnWECM as the signal processing method of OCV technology is revealed and its accuracy theory is given, which will greatly promote the application ofOCV technology.
2 citations
Cited by
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Journal Article•
TL;DR: In this article, a hierarchical engineered micro-nano hybrid composite system is described, where a spray coating technique has been utilized as an effective way to deposit carbon nanotubes (CNTs) onto carbon fiber prepregs with good control of network formation and the potential for localization.
169 citations
TL;DR: In this article, the authors present recent advances in non-destructive testing and evaluation (NDT&E) and in-situ structural health monitoring (SHM) techniques for damage detection in fiber-reinforced polymer (FRP) composites.
Abstract: The application of fiber-reinforced polymer (FRP) composites is continuously increasing due to their superior mechanical properties and the associated weight advantage. However, they are susceptible to more complex types of damage, and advanced damage characterization systems are required to prevent catastrophic failures. Various non-destructive testing and evaluation (NDT&E) and in-situ structural health monitoring (SHM) techniques have been applied for damage detection in FRP composites. These techniques have been continuously developed to achieve reliable inspections, especially for safety-critical applications such as the aerospace industry. This review presents recent advances in NDT&E techniques and SHM techniques, particularly for damage diagnosis in FRP composites. For selecting the most suitable NDT technique based on specific criteria, the analytical hierarchy process is applied as a decision-making tool to evaluate and rank the NDT techniques. The size of the specimen is found to be the most important criterion that significantly affects technique selection. Finally, the importance of developing in-situ SHM systems is outlined, and different in-situ SHM systems are then reviewed and discussed. This review provides progress of the recent damage characterization techniques and enables researchers to devise selection criteria to select the most appropriate technique for their own work.
38 citations
TL;DR: In this article, a review of the use of infrared thermography and post-processing techniques for defect detection in FRP reinforced polymer (FRP) reinforced concrete structures is presented.
28 citations
TL;DR: Wang et al. as mentioned in this paper presented a damage detection method without using a baseline model, which combines the advantages of 3D-DIC with 2D-CWT for damage detection and recognition.
18 citations
TL;DR: In this article , a convolutional neural network (CNN) based image semantic segmentation technique is proposed for pixel-level classification of DIC strain field images, where a DeepLabv3+ encoderdecoder architecture combined with different feature extraction networks is investigated.
16 citations