IF 1.8 3区 材料科学Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTINGStrainPub Date : 2021-06-01DOI:10.1111/str.12380
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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. 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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. 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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
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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