A CNN-integrated percussion method for detection of FRP–concrete interfacial damage with FEM reconstruction (English)
- New search for: Kong, Qingzhao
- Further information on Kong, Qingzhao:
- https://orcid.org/0000-0001-9577-4540
- New search for: Ji, Keyan
- New search for: Gu, Jiaxuan
- New search for: Chen, Lin
- New search for: Yuan, Cheng
- New search for: Kong, Qingzhao
- Further information on Kong, Qingzhao:
- https://orcid.org/0000-0001-9577-4540
- New search for: Ji, Keyan
- New search for: Gu, Jiaxuan
- New search for: Chen, Lin
- New search for: Yuan, Cheng
In:
Structural Health Monitoring
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22
, 1
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216-231
;
2023
- Article (Journal) / Electronic Resource
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Title:A CNN-integrated percussion method for detection of FRP–concrete interfacial damage with FEM reconstruction
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Contributors:Kong, Qingzhao ( author ) / Ji, Keyan ( author ) / Gu, Jiaxuan ( author ) / Chen, Lin ( author ) / Yuan, Cheng ( author )
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Published in:Structural Health Monitoring ; 22, 1 ; 216-231
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Publisher:
- New search for: SAGE Publications
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Publication date:2023-01-01
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Size:16 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 22, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Time series data interpretation for ‘wheel-flat’ identification including uncertaintiesCao, Wen-Jun / Zhang, Shanli / Bertola, Numa J / Smith, I F C / Koh, C G et al. | 2023
- 19
-
Nonlinear damage identification method of transmission tower structure based on general expression for linear and nonlinear autoregressive model and Itakura distanceZuo, Heng / Guo, Huiyong et al. | 2023
- 39
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Unsupervised dam anomaly detection with spatial–temporal variational autoencoderShu, Xiaosong / Bao, Tengfei / Zhou, Yuhang / Xu, Ruichen / Li, Yangtao / Zhang, Kang et al. | 2023
- 56
-
Intelligent fault diagnosis of rotating machinery using composite multivariate-based multi-scale symbolic dynamic entropy with multi-source monitoring dataWei, Yu / Wang, Xianzhi / Xu, Yuanbo / Fan, Fan et al. | 2023
- 78
-
Adaptive guided wave-based damage identification under unknown load conditionsDing, Xuyun / Wang, Xiaojun / Yu, Yongbo / Chen, Wenpin / Zeng, Linxi et al. | 2023
- 105
-
Damage localization for bridges monitored within one cluster based on a spatiotemporal correlation model of strain monitoring dataCao, Jianxin / Liu, Yang et al. | 2023
- 131
-
Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonanceSong, Di / Xu, Feiyun / Hu, Jianzhong / Ma, Tianchi et al. | 2023
- 151
-
Stiffness identification method for asphalt pavement layers and interfaces using monitoring data from built-in sensorsMa, Xianyong / Dong, Zejiao / Dong, Yongkang et al. | 2023
- 166
-
Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertaintyCheng, Liangliang / Yaghoubi, Vahid / Van Paepegem, Wim / Kersemans, Mathias et al. | 2023
- 180
-
Characterization of OFDR distributed optical fiber for crack monitoring considering fiber-coating interfacial slipZhao, Lizhi / Tang, Fujian / Li, Hong-Nan / Ansari, Farhad et al. | 2023
- 201
-
Damage identification of wind turbine blades using the microphone array under different parametric and measuring conditions: A prototype study with laboratory-scale modelsSun, Shilin / Wang, Tianyang / Yang, Hongxing / Chu, Fulei et al. | 2023
- 216
-
A CNN-integrated percussion method for detection of FRP–concrete interfacial damage with FEM reconstructionKong, Qingzhao / Ji, Keyan / Gu, Jiaxuan / Chen, Lin / Yuan, Cheng et al. | 2023
- 232
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A convolutional neural network for pipe crack and leak detection in smart water networkZhang, Chi / Alexander, Bradley J. / Stephens, Mark L. / Lambert, Martin F. / Gong, Jinzhe et al. | 2023
- 245
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Long-term friction performance monitoring of sliding layer in China railway track system Ⅱ slab track on bridge superstructureLi, Shunlong / Wang, Dedao / Lin, Chao / Wang, Senrong et al. | 2023
- 257
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Monitoring of new and existing stainless-steel reinforced concrete structures by clad distributed optical fibre sensingFernandez, Ignasi / Berrocal, Carlos G. / Almfeldt, Sebastian / Rempling, Rasmus et al. | 2023
- 276
-
Contact delamination detection of anisotropic composite plates using non-elliptical probability imaging of nonlinear ultrasonic guided wavesLiu, Yuan / Hong, Xiaobin / Zhang, Bin et al. | 2023
- 296
-
An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosisGuo, Junchao / He, Qingbo / Zhen, Dong / Gu, Fengshou / Ball, Andrew D et al. | 2023
- 319
-
Vision-guided unmanned aerial system for rapid multiple-type damage detection and localizationJiang, Shang / Cheng, Yuyao / Zhang, Jian et al. | 2023
- 338
-
Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme eventsBai, Yongsheng / Zha, Bing / Sezen, Halil / Yilmaz, Alper et al. | 2023
- 353
-
A method for structural monitoring of multispan bridges using satellite InSAR data with uncertainty quantification and its pre-collapse application to the Albiano-Magra Bridge in ItalyFarneti, Elisabetta / Cavalagli, Nicola / Costantini, Mario / Trillo, Francesco / Minati, Federico / Venanzi, Ilaria / Ubertini, Filippo et al. | 2023
- 372
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Precise damage shaping in self-sensing composites using electrical impedance tomography and genetic algorithmsHassan, Hashim / Tallman, Tyler N et al. | 2023
- 388
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Waveform covariance imaging for Lamb wave phased arrayXu, Caibin / Hu, Ning / Deng, Mingxi et al. | 2023
- 398
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Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosisMa, Ping / Zhang, Hongli / Wang, Cong et al. | 2023
- 417
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Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applicationsBalasubramanian, Prabakaran / Kaushik, Vikram / Altamimi, Sumaya Y / Amabili, Marco / Alteneiji, Mohamed et al. | 2023
- 433
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Damage detection on the blade of an operating wind turbine via a single vibration sensor and statistical time series methods: Exploring the performance limits of robust methodsPanagiotopoulos, Andeas / Dmitri, Tcherniak / Spilios, Fassois D et al. | 2023
- 449
-
Spectral variational mode extraction and its application in fault detection of rolling bearingPang, Bin / Zhang, Heng / Cheng, Tianshi / Sun, Zhenduo / Shi, Yan / Tang, Guiji et al. | 2023
- 472
-
Bridge inspection component registration for damage evolutionBianchi, Eric L / Sakib, Nazmus / Woolsey, Craig / Hebdon, Matthew et al. | 2023
- 496
-
Quantifying the extent of local damage of a 60-year-old prestressed concrete bridge: A hybrid SHM approachSakiyama, Felipe IH / Veríssimo, Gustavo S / Lehmann, Frank / Garrecht, Harald et al. | 2023
- 518
-
Monitoring the curing process of in-situ concrete with piezoelectric-based techniques – A practical applicationTang, Zi Sheng / Lim, Yee Yan / Smith, Scott T. / Mostafa, Ahmed / Lam, Ah Choi / Soh, Chee Kiong et al. | 2023
- 540
-
A hybrid structural health monitoring approach for damage detection in steel bridges under simulated environmental conditions using numerical and experimental dataSvendsen, Bjørn T. / Øiseth, Ole / Frøseth, Gunnstein T. / Rønnquist, Anders et al. | 2023
- 562
-
A Modulation Signal Bispectrum Enhanced Squared Envelope for the detection and diagnosis of compound epicyclic gear faultsXu, Yuandong / Feng, Guojin / Tang, Xiaoli / Yang, Shixi / Gu, Fengshou / Ball, Andrew D et al. | 2023
- 581
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An efficient online outlier recognition method of dam monitoring data based on improved M-robust regressionHan, Zhang / Chen, Jiankang / Zhang, Fang / Gao, Zhiliang / Huang, Huibao / Li, Yanling et al. | 2023
- 600
-
Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responsesXu, Yang / Tian, Yadi / Li, Hui et al. | 2023
- 621
-
A method of acoustic emission source location for engine fault based on time difference matrixLiu, Tong / Han, Cong / Wang, Qian Lin / Li, Zhen Quan / Yang, Guoan et al. | 2023
- 639
-
A Machine learning-based approach to determining stress in railsBelding, Matthew / Enshaeian, Alireza / Rizzo, Piervincenzo et al. | 2023
- 657
-
Distributed detection of internal cavities in concrete-filled steel tube arch bridge elementsGong, Shilin / Feng, Xin / Zhang, Guanhua / Ansari, Farhad et al. | 2023
- 672
-
Feature pyramid network with self-guided attention refinement module for crack segmentationOng, Jeremy CH / Lau, Stephen LH / Ismadi, Mohd-ZP / Wang, Xin et al. | 2023
- 689
-
Synthesis of healthy-structure model responses for damage quantificationGarrido, Hernán / Domizio, Martín / Curadelli, Oscar / Ambrosini, Daniel et al. | 2023
- 714
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A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda wavesSun, Xiangtao / Zhang, Minghui / Gao, Weihang / Guo, Chuanrui / Kong, Qingzhao et al. | 2023
- 730
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An integrated condition monitoring scheme for health state identification of a multi-stage gearbox through Hurst exponent estimatesInturi, Vamsi / Balaji, Sai Venkatesh / Gyanam, Praharshitha / Pragada, Brahmini Priya Venkata / Geetha Rajasekharan, Sabareesh / Pakrashi, Vikram et al. | 2023
- 746
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A self-matching model for online anomaly recognition of safety monitoring data in damsZhang, Fang / Lu, Xiang / Li, Yanling / Gao, Zhiliang / Zhang, Han / Huang, Huibao et al. | 2023