Pub Date : 2023-11-24DOI: 10.1080/10589759.2023.2285336
Shengping Li, L. Bai, Chunrui Feng, Xu Zhang, Yiping Liang, Jiangshan Ai, Jie Zhang
{"title":"An improved magnetic dipole model for MFL testing based on non-uniform magnetic charge distribution","authors":"Shengping Li, L. Bai, Chunrui Feng, Xu Zhang, Yiping Liang, Jiangshan Ai, Jie Zhang","doi":"10.1080/10589759.2023.2285336","DOIUrl":"https://doi.org/10.1080/10589759.2023.2285336","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":"112 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139240181","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}
Pub Date : 2023-11-23DOI: 10.1080/10589759.2023.2283511
Housam Mohammad, Frantisek Vlasic, Jiří Žáček, Baraah Maya, P. Mazal
{"title":"Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains","authors":"Housam Mohammad, Frantisek Vlasic, Jiří Žáček, Baraah Maya, P. Mazal","doi":"10.1080/10589759.2023.2283511","DOIUrl":"https://doi.org/10.1080/10589759.2023.2283511","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":"45 5","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139245954","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}
Pub Date : 2023-11-23DOI: 10.1080/10589759.2023.2285340
S. Al-Said, B. Abu-Nabah
{"title":"Physics-based thermal noise effect reduction in sonic IR crack length estimation","authors":"S. Al-Said, B. Abu-Nabah","doi":"10.1080/10589759.2023.2285340","DOIUrl":"https://doi.org/10.1080/10589759.2023.2285340","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":"137 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139244084","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}
{"title":"Coupling pressure of an ultrasonic transducer excitation under the action of a loading device","authors":"Jiahui Liang, Yu Jia, Lei Tang, Jinyu Ge, Yulei Wang, Shenghang Zhang","doi":"10.1080/10589759.2023.2274010","DOIUrl":"https://doi.org/10.1080/10589759.2023.2274010","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":"177 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139257137","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}
Pub Date : 2023-11-17DOI: 10.1080/10589759.2023.2283710
Qizheng Huang, Kang Zhao, Weiling Xiao, Qiang Nie, Jiale Chen, Yang Liu, Juncheng Zhong
{"title":"Deformation failure and damage evolution law of weathered granite under triaxial compression","authors":"Qizheng Huang, Kang Zhao, Weiling Xiao, Qiang Nie, Jiale Chen, Yang Liu, Juncheng Zhong","doi":"10.1080/10589759.2023.2283710","DOIUrl":"https://doi.org/10.1080/10589759.2023.2283710","url":null,"abstract":"","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":"55 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263146","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}
ABSTRACTThe safety of coated steel belts (CSBs) is crucial for reliable elevator operation, as they are critical components in elevator systems. Magnetic flux leakage (MFL) testing is the preferred non-destructive method for evaluating CSBs due to its high sensitivity. Previous studies overlooked tensile stress's impact on in-service MFL testing of CSBs, potentially resulting in inaccurate defect assessments. This research aims to investigate the impact of tensile stress on the MFL signal of CSBs by developing a theoretical model, conducting finite element simulations, and performing experimental verification. In this paper, the rectangular edge defects are considered as the primary defect type in CSBs, and the applied stress on the CSBs varies from 30 MPa to 160 MPa. Under the above conditions, a linear relationship between MFL signal of CSBs and stress is established based on the simplified Jiles-Atherton model and magnetic dipole model suitable for CSBs. The finite element simulation and experiments further indicate that the MFL signal of CSBs increases linearly with the increasing tensile stress. The primary contributions of this study are establishing an MFL model suitable for CSBs and uncovering the linear relationship between the MFL signal of CSBs and tensile stress.KEYWORDS: Coated steel beltmagnetic field distribution mapmagnetic flux leakage testingtensile stress Disclosure statementThe authors report there are no competing interests to declare.Supplementary InformationSupplemental data for this article can be accessed online at https://doi.org/10.1080/10589759.2023.2274014.Additional informationFundingThis work was supported by the National Key Research and Development Program of China under Grant 2022YFF0605600; National Natural Science Foundation of China under Grant 92060114; Sichuan Science and Technology Program under Grant 2023YFQ0060, Grant 2023YFS0413, and Grant 2022YFG0044; Science and Technology Program of the State Administration for Market Regulation under Grant 2022MK153; and Science and Technology Program of the Administration for Market Regulation of Sichuan Province under Grant SCSJZ2023001.
{"title":"Influence of tensile stress on the magnetic flux leakage signal of the coated steel belt","authors":"Zhaoting Liu, Yanlin Liu, Chuan Shen, Liming Wei, Jianbo Wu, Wenhui Yang, Kewen Huang, Piyu Miao","doi":"10.1080/10589759.2023.2274014","DOIUrl":"https://doi.org/10.1080/10589759.2023.2274014","url":null,"abstract":"ABSTRACTThe safety of coated steel belts (CSBs) is crucial for reliable elevator operation, as they are critical components in elevator systems. Magnetic flux leakage (MFL) testing is the preferred non-destructive method for evaluating CSBs due to its high sensitivity. Previous studies overlooked tensile stress's impact on in-service MFL testing of CSBs, potentially resulting in inaccurate defect assessments. This research aims to investigate the impact of tensile stress on the MFL signal of CSBs by developing a theoretical model, conducting finite element simulations, and performing experimental verification. In this paper, the rectangular edge defects are considered as the primary defect type in CSBs, and the applied stress on the CSBs varies from 30 MPa to 160 MPa. Under the above conditions, a linear relationship between MFL signal of CSBs and stress is established based on the simplified Jiles-Atherton model and magnetic dipole model suitable for CSBs. The finite element simulation and experiments further indicate that the MFL signal of CSBs increases linearly with the increasing tensile stress. The primary contributions of this study are establishing an MFL model suitable for CSBs and uncovering the linear relationship between the MFL signal of CSBs and tensile stress.KEYWORDS: Coated steel beltmagnetic field distribution mapmagnetic flux leakage testingtensile stress Disclosure statementThe authors report there are no competing interests to declare.Supplementary InformationSupplemental data for this article can be accessed online at https://doi.org/10.1080/10589759.2023.2274014.Additional informationFundingThis work was supported by the National Key Research and Development Program of China under Grant 2022YFF0605600; National Natural Science Foundation of China under Grant 92060114; Sichuan Science and Technology Program under Grant 2023YFQ0060, Grant 2023YFS0413, and Grant 2022YFG0044; Science and Technology Program of the State Administration for Market Regulation under Grant 2022MK153; and Science and Technology Program of the Administration for Market Regulation of Sichuan Province under Grant SCSJZ2023001.","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":"50 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134902811","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}
Pub Date : 2023-11-09DOI: 10.1080/10589759.2023.2274009
Xingyu Xiao, Yan Wang
ABSTRACTSolitary waves possess extensive potential for application in non-destructive testing due to their role as efficient information carriers. This study investigates the coupling effect between highly nonlinear solitary waves and functionally graded porous plates reinforced with graphene platelets (FGP-GPLs). An improved Halpin–Tsai micromechanics model and an improved two-variable precision plate theory are employed to derive a differential equation system for the coupling of particle chains and FGP-GPLs. The system is solved using the fourth-order Runge–Kutta method to obtain velocity and displacement solutions of the particles. The time and amplitude of the rebound waves are analysed, and it is found that the pore distribution, graphene distribution, porosity coefficient, thickness ratio, and graphene weight fraction impact the solitary wave. The results of this study provide a theoretical basis for the non-destructive detection of FGP-GPLs by solitary waves, which enables rapid inspection and controllability studies of structures. Moreover, this technology expands the application fields of nonlinear solitary waves based on one-dimensional spherical particle chains.KEYWORDS: Highly nonlinear solitary wavefunctionally graded porous plates reinforced with graphene plateletsHertz’s lawnon-destructive testingone-dimensional spherical particle chains Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
{"title":"Coupling effect between highly nonlinear solitary waves and functionally graded porous plates reinforced with graphene platelets","authors":"Xingyu Xiao, Yan Wang","doi":"10.1080/10589759.2023.2274009","DOIUrl":"https://doi.org/10.1080/10589759.2023.2274009","url":null,"abstract":"ABSTRACTSolitary waves possess extensive potential for application in non-destructive testing due to their role as efficient information carriers. This study investigates the coupling effect between highly nonlinear solitary waves and functionally graded porous plates reinforced with graphene platelets (FGP-GPLs). An improved Halpin–Tsai micromechanics model and an improved two-variable precision plate theory are employed to derive a differential equation system for the coupling of particle chains and FGP-GPLs. The system is solved using the fourth-order Runge–Kutta method to obtain velocity and displacement solutions of the particles. The time and amplitude of the rebound waves are analysed, and it is found that the pore distribution, graphene distribution, porosity coefficient, thickness ratio, and graphene weight fraction impact the solitary wave. The results of this study provide a theoretical basis for the non-destructive detection of FGP-GPLs by solitary waves, which enables rapid inspection and controllability studies of structures. Moreover, this technology expands the application fields of nonlinear solitary waves based on one-dimensional spherical particle chains.KEYWORDS: Highly nonlinear solitary wavefunctionally graded porous plates reinforced with graphene plateletsHertz’s lawnon-destructive testingone-dimensional spherical particle chains Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135242906","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}
ABSTRACTSemi-supervised instance segmentation algorithms are mainly divided into algorithms based on pseudo-label generation and algorithms based on transfer learning. The algorithms based on pseudo-label generation need to design a specific pseudo-label generation process, but the process is not scalable for different types of source tasks. The algorithms based on transfer learning that started late have relatively high scalability, but the algorithm research ideas are relatively simple. To expand the research on semi-supervised instance segmentation based on transfer learning, this paper proposes a feature transfer-based semi-supervised instance segmentation algorithm Feature Transfer Mask R-CNN (FT-Mask). The FT-Mask algorithm is more scalable than algorithms based on pseudo-label generation and can be used to transfer knowledge from different types of source tasks. Compared with other semi-supervised instance segmentation algorithms based on transfer learning, FT-Mask uses the feature transfer method to achieve semi-supervised instance segmentation for the first time. The experimental results show that the FT-Mask model improves the semi-supervised instance segmentation accuracy of the Mask R-CNN benchmark model through the semi-supervised learning process, and can achieve effective transfer learning.KEYWORDS: Semi-supervised learninginstance segmentationtransfer learning Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported in part by the National Natural Science Foundation of China under Grant 62072319; the Sichuan Science and Technology Program under Grant 2023YFQ0022 and 2022YFG0041; the Luzhou Science and Technology Innovation R&D Program (No. 2022CDLZ-6).
摘要半监督实例分割算法主要分为基于伪标签生成的算法和基于迁移学习的算法。基于伪标签生成的算法需要设计特定的伪标签生成过程，但该过程不能针对不同类型的源任务进行扩展。起步较晚的基于迁移学习的算法具有较高的可扩展性，但算法研究思路相对简单。为了拓展基于迁移学习的半监督实例分割研究，本文提出了一种基于特征迁移的半监督实例分割算法feature transfer Mask R-CNN (FT-Mask)。FT-Mask算法比基于伪标签生成的算法更具可扩展性，可用于从不同类型的源任务转移知识。与其他基于迁移学习的半监督实例分割算法相比，FT-Mask首次利用特征转移方法实现了半监督实例分割。实验结果表明，FT-Mask模型通过半监督学习过程提高了Mask R-CNN基准模型的半监督实例分割精度，并能实现有效的迁移学习。关键词:半监督学习实例分割迁移学习披露声明作者未报告潜在利益冲突。本研究得到国家自然科学基金项目(62072319)的部分资助;四川省科技计划项目2023YFQ0022和2022YFG0041;泸州市科技创新发展计划(2022CDLZ-6)。
{"title":"Semi-supervised instance segmentation algorithm based on transfer learning","authors":"Bing Liu, Ren Yi, Zhongquan Yu, Shiyu Wang, Xuewen Yang, Fuwen Wang","doi":"10.1080/10589759.2023.2274013","DOIUrl":"https://doi.org/10.1080/10589759.2023.2274013","url":null,"abstract":"ABSTRACTSemi-supervised instance segmentation algorithms are mainly divided into algorithms based on pseudo-label generation and algorithms based on transfer learning. The algorithms based on pseudo-label generation need to design a specific pseudo-label generation process, but the process is not scalable for different types of source tasks. The algorithms based on transfer learning that started late have relatively high scalability, but the algorithm research ideas are relatively simple. To expand the research on semi-supervised instance segmentation based on transfer learning, this paper proposes a feature transfer-based semi-supervised instance segmentation algorithm Feature Transfer Mask R-CNN (FT-Mask). The FT-Mask algorithm is more scalable than algorithms based on pseudo-label generation and can be used to transfer knowledge from different types of source tasks. Compared with other semi-supervised instance segmentation algorithms based on transfer learning, FT-Mask uses the feature transfer method to achieve semi-supervised instance segmentation for the first time. The experimental results show that the FT-Mask model improves the semi-supervised instance segmentation accuracy of the Mask R-CNN benchmark model through the semi-supervised learning process, and can achieve effective transfer learning.KEYWORDS: Semi-supervised learninginstance segmentationtransfer learning Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported in part by the National Natural Science Foundation of China under Grant 62072319; the Sichuan Science and Technology Program under Grant 2023YFQ0022 and 2022YFG0041; the Luzhou Science and Technology Innovation R&D Program (No. 2022CDLZ-6).","PeriodicalId":49746,"journal":{"name":"Nondestructive Testing and Evaluation","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135242074","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}
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