基于相位的视频放大在操作偏转形状中用于损伤检测和定位的可行性实验研究

IF 1.8 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Strain Pub Date : 2021-06-01 DOI:10.1111/str.12380
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引用次数: 9

摘要

Civera等人文章[1]中的以下参考文献应更正如下:[1]C.R.Farrar,K.Worden,《结构健康监测:机器学习视角》,John Wiley&Sons,2012年。ISBN 978-1-119-99433-6[4]M.Civera,C.Surace,K.Worden,《使用三重高斯过程检测梁中的裂纹》,《结构健康监测与损伤检测》,第7卷,施普林格,商会。2017年,第85-97页。[9] A.Rytter,土木工程结构振动检测。博士论文,奥尔堡大学,1993年。ISSN 0902-7513[15]M.Civera,L.Z.Fragonara,C.Surace,大振荡非接触式研究的视频处理技术。《物理学杂志:会议系列》,第1249卷,第1期,IOP出版2019,第012004页。[23]E.Caetano,S.Silva,J.Bateira,视觉系统在缆索结构监测中的应用,第七届缆索动力学国际研讨会,2007年,第225–236页。[24]冯,福田,冯,水田,桥梁工程,2015,20(12),04015023。[30]C.Nonis,C.Niezrecki,T.Y.Yu,S.Ahmed,C.F.Su,T.Schmidt,《使用数字图像相关性进行桥梁结构健康监测》,《结构和生物系统健康监测》第8695卷,国际光学和光子学会2013年,第869507页[31]M.Malesa,D.Szczepanek,M.Kujawi nska,A,使用数字图像相关技术监测土木工程结构,EPJ会议网,第6卷,EDP Sciences 2010,第31014页。[36]E.P.Simoncelli,W.T.Freeman,可操纵金字塔:多尺度导数计算的灵活结构,论文集。,国际图像处理会议,第3卷,IEEE 1995,第444–447页。[38]陈、瓦德瓦、查、杜兰德、弗里曼、布尤科兹图尔克、桑德。2015年,345,58–71。[40]吴,鲁宾斯坦,施,古塔格,杜兰德,弗里曼,ACM Trans。图表2012年,31(4),1-8。[43]O.Christensen,阿塞拜疆数学杂志。2014年4月25日。ISSN 2218-6816[51]T.H.Oh,R.Jaroensri,C.Kim,M.Elgharib,F.E.Durand,W.T.Freeman,W.Matusik,基于学习的视频运动放大。在Proc。欧洲会议计算。愿景,(ECCV),2018,633-648。SpringerLink:https://link.springer.com/conference/eccv[52]E.H.Yunus,U.Gulan,M.Holzner,E.Chatzi,传感器2019,19(5),1229。[53]A.Sarrafi,P.Poozesh,C.Niezrecki,Z.Mao,通过基于相位的视频运动估计对风力涡轮机叶片进行模式提取,能源系统的智能材料和无损评估,第10171卷,国际光学和光子学会2017,第101710E页,四月。DOI:10.1117/12.2260406[56]Z.I.Praisach,P.F.Minda,G.R.Gillich,A.A.Minda,Proc。第4届WSEAS国际会议有限差分有限元有限体积边界元,第201卷(1),巴黎,2011年,第82-87页,ISBN:978-960-474-298-1
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An experimental study of the feasibility of phase‐based video magnification for damage detection and localisation in operational deflection shapes
The below references in Civera et al. article[1] should be corrected as follows: [1] C. R. Farrar, K. Worden, Structural Health Monitoring: A Machine Learning Perspective, John Wiley & Sons 2012. ISBN 978-1-119-99433-6 [4] M. Civera, C. Surace, K. Worden, Detection of Cracks in Beams Using Treed Gaussian Processes, Structural Health Monitoring & Damage Detection, Vol. 7, Springer, Cham. 2017, pp. 85–97. [9] A. Rytter, Vibrational Based Inspection of Civil Engineering Structures. PhD dissertation, Aalborg Universitet 1993. ISSN 0902-7513 [15] M. Civera, L. Z. Fragonara, C. Surace, Video Processing Techniques for the Contactless Investigation of Large Oscillations. Journal of Physics: Conference Series, Vol. 1249, No. 1, IOP Publishing 2019, p. 012004. [23] E. Caetano, S. Silva, J. Bateira, Application of a vision system to the monitoring of cable structures, Seventh International Symposium on Cable Dynamics, 2007, pp. 225–236. [24] M. Q. Feng, Y. Fukuda, D. Feng, M. Mizuta, J. Bridge Eng. 2015, 20(12), 04015023. [30] C. Nonis, C. Niezrecki, T. Y. Yu, S. Ahmed, C. F. Su, T. Schmidt, Structural Health Monitoring of Bridges Using Digital Image Correlation, Health Monitoring of Structural and Biological Systems, Vol. 8695, International Society for Optics and Photonics 2013, p. 869507 [31] M. Malesa, D. Szczepanek, M. Kujawi nska, A. Świercz, P. Kołakowski, Monitoring of Civil Engineering Structures Using Digital Image Correlation Technique, EPJ Web of Conferences, Vol. 6, EDP Sciences 2010, p. 31014. [36] E. P. Simoncelli, W. T. Freeman, The Steerable Pyramid: A Flexible Architecture for Multi-scale Derivative Computation, Proceedings., International Conference on Image Processing, Vol. 3, IEEE 1995, pp. 444–447. [38] J. G. Chen, N. Wadhwa, Y. J. Cha, F. Durand, W. T. Freeman, O. Buyukozturk, J. Sound Vib. 2015, 345, 58–71. [40] H. Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W. Freeman, ACM Trans. Graph. 2012, 31(4), 1–8. [43] O. Christensen, Azerbaijan J. Math. 2014, 4, 25. ISSN 2218-6816 [51] T. H. Oh, R. Jaroensri, C. Kim, M. Elgharib, F. E. Durand, W. T. Freeman, W. Matusik, Learning-based video motion magnification. in Proc. Eur. Conf. Comput. Vision, (ECCV), 2018, 633-648. SpringerLink: https://link.springer. com/conference/eccv [52] E. H. Yunus, U. Gulan, M. Holzner, E. Chatzi, Sensors 2019, 19(5), 1229. [53] A. Sarrafi, P. Poozesh, C. Niezrecki, Z. Mao, Mode Extraction on Wind Turbine Blades via Phase-based Video Motion Estimation, Smart Materials and Nondestructive Evaluation for Energy Systems, Vol. 10171, International Society for Optics and Photonics 2017, p. 101710E, April. DOI: 10.1117/12.2260406 [56] Z. I. Praisach, P. F. Minda, G. R. Gillich, A. A. Minda, Proc. 4th WSEAS Int. Conf. Finite Differences-Finite Elements-Finite Volumes-Boundary Elements, Vol. 201(1), Paris 2011, pp. 82-87, ISBN: 978-960-474-298-1
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来源期刊
Strain
Strain 工程技术-材料科学:表征与测试
CiteScore
4.10
自引率
4.80%
发文量
27
期刊介绍: Strain is an international journal that contains contributions from leading-edge research on the measurement of the mechanical behaviour of structures and systems. Strain only accepts contributions with sufficient novelty in the design, implementation, and/or validation of experimental methodologies to characterize materials, structures, and systems; i.e. contributions that are limited to the application of established methodologies are outside of the scope of the journal. The journal includes papers from all engineering disciplines that deal with material behaviour and degradation under load, structural design and measurement techniques. Although the thrust of the journal is experimental, numerical simulations and validation are included in the coverage. Strain welcomes papers that deal with novel work in the following areas: experimental techniques non-destructive evaluation techniques numerical analysis, simulation and validation residual stress measurement techniques design of composite structures and components impact behaviour of materials and structures signal and image processing transducer and sensor design structural health monitoring biomechanics extreme environment micro- and nano-scale testing method.
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