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Nondestructive Testing and Evaluation最新文献

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Rapid diagnosis of corrosion beneath epoxy protective coating using non-contact THz-TDS technique 非接触式太赫兹- tds技术快速诊断环氧防护涂层腐蚀
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-05-23 DOI: 10.1080/10589759.2023.2214670
Wanli Tu, Shuncong Zhong, Qiukun Zhang, Yi Huang
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引用次数: 3
Damage tracking in laboratory reinforced concrete bridge columns under reverse-cyclic loading using fusion-based imaging 基于融合成像的实验室钢筋混凝土桥柱在反循环荷载作用下的损伤跟踪
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-05-22 DOI: 10.1080/10589759.2023.2214289
Sina Mehdinia, A. K. M. G. Murtuz, T. Schumacher, P. Dusicka
{"title":"Damage tracking in laboratory reinforced concrete bridge columns under reverse-cyclic loading using fusion-based imaging","authors":"Sina Mehdinia, A. K. M. G. Murtuz, T. Schumacher, P. Dusicka","doi":"10.1080/10589759.2023.2214289","DOIUrl":"https://doi.org/10.1080/10589759.2023.2214289","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42438028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research on visualisation of plain concrete crack depth detection based on tracer and hand-held radar 基于示踪剂和手持雷达的素混凝土裂缝深度检测可视化研究
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-05-08 DOI: 10.1080/10589759.2023.2206131
Yulei Wang, Lei Tang, Shenmin Zhang, Yu Jia, Hui Tian, Jiahui Liang
{"title":"Research on visualisation of plain concrete crack depth detection based on tracer and hand-held radar","authors":"Yulei Wang, Lei Tang, Shenmin Zhang, Yu Jia, Hui Tian, Jiahui Liang","doi":"10.1080/10589759.2023.2206131","DOIUrl":"https://doi.org/10.1080/10589759.2023.2206131","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41911923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Acoustic emission monitoring and analyses for avalanche release and slab fracturing events observed in Great Himalaya 大喜马拉雅地区雪崩释放和板裂事件的声发射监测与分析
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-05-02 DOI: 10.1080/10589759.2023.2208717
J. Kapil, Sakshi Sharma, Karmjeet Singh, J. Shahi, Rama Arora
{"title":"Acoustic emission monitoring and analyses for avalanche release and slab fracturing events observed in Great Himalaya","authors":"J. Kapil, Sakshi Sharma, Karmjeet Singh, J. Shahi, Rama Arora","doi":"10.1080/10589759.2023.2208717","DOIUrl":"https://doi.org/10.1080/10589759.2023.2208717","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46168575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Structural fault diagnosis of UAV based on convolutional neural network and data processing technology 基于卷积神经网络和数据处理技术的无人机结构故障诊断
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-04-27 DOI: 10.1080/10589759.2023.2206655
Yumeng Ma, F. Mustapha, Mohamad Ridzwan Ishak, Sharafiz Abdul Rahim, M. Mustapha
{"title":"Structural fault diagnosis of UAV based on convolutional neural network and data processing technology","authors":"Yumeng Ma, F. Mustapha, Mohamad Ridzwan Ishak, Sharafiz Abdul Rahim, M. Mustapha","doi":"10.1080/10589759.2023.2206655","DOIUrl":"https://doi.org/10.1080/10589759.2023.2206655","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47387483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Electromagnetic (EM) sensor measurement for residual stress characterisation in welded steel plates 焊接钢板残余应力特征的电磁(EM)传感器测量
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-04-20 DOI: 10.1080/10589759.2023.2194649
Edosa Osarogiagbon, R. Hall, Lei Zhou, J. Cafolla, C. Davis
{"title":"Electromagnetic (EM) sensor measurement for residual stress characterisation in welded steel plates","authors":"Edosa Osarogiagbon, R. Hall, Lei Zhou, J. Cafolla, C. Davis","doi":"10.1080/10589759.2023.2194649","DOIUrl":"https://doi.org/10.1080/10589759.2023.2194649","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49315972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Fractal characteristics and acoustic emission b-value of cement superfine tailings backfill with initial defect consideration 考虑初始缺陷的水泥超细尾矿回填分形特征及声发射b值
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-04-12 DOI: 10.1080/10589759.2023.2201498
K. Zhao, Qizheng Huang, Yun Zhou, Yajing Yan, Jian Yang, Chao Ma, Qiang Nie, Jiale Chen, Yichen Shi
{"title":"Fractal characteristics and acoustic emission b-value of cement superfine tailings backfill with initial defect consideration","authors":"K. Zhao, Qizheng Huang, Yun Zhou, Yajing Yan, Jian Yang, Chao Ma, Qiang Nie, Jiale Chen, Yichen Shi","doi":"10.1080/10589759.2023.2201498","DOIUrl":"https://doi.org/10.1080/10589759.2023.2201498","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43120372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Coplanar capacitive sensors and their applications in non-destructive evaluation: a review 共面电容传感器及其在无损检测中的应用综述
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-04-11 DOI: 10.1080/10589759.2023.2198233
M. Mwelango, T. Zhu, K. Wen, Z. Zhang, X. Yuan, W. Li, X. Yin
ABSTRACT Compared with conventional non-destructive evaluation (NDE) techniques, such as radiography, ultrasound, magnetic particle inspection and eddy current, the coplanar capacitive sensing technique is a newly emerging technique with promising future prospects. Aiming to show the capabilities of coplanar capacitive sensors (CCSs) for NDE, this review paper exploits existing literature on the subject to provide a general systematic overview of the capacitive NDE technique using CCSs. This review focuses on the fundamentals of the technique, factors affecting sensor performance, existing designs of CCSs used for defect detection and finally, the different applications of CCSs for defect detection in different fields of NDE. The existing challenges and future prospects of the CCS technique are also discussed. Amidst the prevalent challenges, obtaining better performance from CCSs has been mostly done by using different geometric designs, but less emphasis has been put on optimising circuit design and choice of sensor component materials. The key to optimisation of sensor performance is rooted in establishing a balance among trade-offs. The various advantages of the technique, compared to conventional NDE techniques, allow for different applications and attest to the potential of the technique for new applications in the future.
与传统的射线照相、超声、磁粉探伤、涡流等无损检测技术相比,共面电容感测技术是一种新兴的、具有广阔发展前景的技术。为了展示共面电容式传感器(CCSs)在濒死体验中的能力,本文利用现有的相关文献,对使用共面电容式传感器的电容式濒死体验技术进行了系统的概述。本文将重点介绍该技术的基本原理、影响传感器性能的因素、用于缺陷检测的CCSs的现有设计,最后介绍CCSs在无损检测的不同领域中的缺陷检测应用。讨论了CCS技术存在的挑战和未来的发展前景。在普遍存在的挑战中,从CCSs获得更好的性能主要是通过使用不同的几何设计来实现的,但很少强调优化电路设计和传感器组件材料的选择。优化传感器性能的关键在于建立权衡之间的平衡。与传统的NDE技术相比,该技术的各种优势允许不同的应用,并证明了该技术在未来的新应用中的潜力。
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引用次数: 4
Conductivity measurement of metal films based on eddy current testing 基于涡流检测的金属薄膜电导率测量
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-04-07 DOI: 10.1080/10589759.2023.2198234
Binghua Cao, Shanshan Lv, Mengbao Fan, C. Li
{"title":"Conductivity measurement of metal films based on eddy current testing","authors":"Binghua Cao, Shanshan Lv, Mengbao Fan, C. Li","doi":"10.1080/10589759.2023.2198234","DOIUrl":"https://doi.org/10.1080/10589759.2023.2198234","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45215297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The impact of hydrogen on mechanical performance of carbon alloy plates detected by eddy current method 用涡流法检测氢对碳合金板力学性能的影响
IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2023-04-02 DOI: 10.1080/10589759.2023.2195647
Haiting Zhou, Huandong Huang, Dongdong Ye, Qiang Wang, Chenxi Zhu
ABSTRACT Hydrogen diffuses in the material and accumulates in dislocations, holes, etc. which will lead to deterioration of the mechanical properties of the material and affect the health state of the structural parts of hydrogen service. In this paper, a characterisation method for the degradation degree of hydrogen-induced properties of materials based on eddy current response signal is proposed. Based on the semi-infinite planar source diffusion model and hydrogen permeation model, an improved hydrogen diffusion and distribution analysis model was established, and an early hydrogen damage eddy current detection model for multilayer conductive structure materials was constructed. The evolution of material properties under the action of hydrogen was analysed, and a linear relationship between hydrogen content and conductivity was obtained. The loss of elongation was selected as the damage index and the relationship between the eddy current response signal and hydrogen embrittlement performance index is established. Experiments verify that the eddy current response signal is sensitive to the performance index and increases with the intensification of hydrogen-induced performance degradation.
氢在材料中扩散并积聚在位错、孔洞等处,会导致材料力学性能的恶化,影响加氢服役结构件的健康状态。本文提出了一种基于涡流响应信号的材料氢致性能降解程度表征方法。基于半无限平面源扩散模型和氢渗透模型,建立了改进的氢扩散分布分析模型,构建了多层导电结构材料早期氢损伤涡流检测模型。分析了氢作用下材料性能的演变,得到了氢含量与电导率之间的线性关系。选择伸长率损失作为损伤指标,建立了涡流响应信号与氢脆性能指标之间的关系。实验验证了涡流响应信号对性能指标的敏感性,并随着氢致性能退化的加剧而增大。
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引用次数: 0
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Nondestructive Testing and Evaluation
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