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1. Full Text Characterization of contemporary artworks made on photosensitized canvas by means of optical microscopy and micro-Raman spectroscopy techniques
by Stamatopoulou, Eugenia and Sotiropoulou, Manto and Karoglou, Maria and Bakolas, Asterios
Microchemical journal, ISSN 0026-265X, 06/2021, Volume 165, p. 106110
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2. Full Text Obtaining the strength parameters of concrete using drilling data
by Panahandeh, Mohsen and Hashemolhosseini, Hamid and Eftekhar, Mohammad Reza and Hashemolhosseini, Amir Hossein and Baghbanan, Alireza
Journal of Building Engineering, ISSN 2352-7102, 06/2021, Volume 38, p. 102181
Drilling | Concrete | Non-destructive testing | Unconfined compressive strength
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3. Full Text Self-sensing hybrid composite laminate by piezoelectric nanofibers interleaving
by Brugo, Tommaso Maria and Maccaferri, Emanuele and Cocchi, Davide and Mazzocchetti, Laura and Giorgini, Loris and Fabiani, Davide and Zucchelli, Andrea
Composites. Part B, Engineering, ISSN 1359-8368, 05/2021, Volume 212, p. 108673
Impact behaviour | Nano-structures | Non-destructive testing | Smart materials | Structural health monitoring (SHM)
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4. Full Text Advanced deep learning model-based impact characterization method for composite laminates
by Jung, Kyung-Chae and Chang, Seung-Hwan
Composites science and technology, ISSN 0266-3538, 05/2021, Volume 207, p. 108713
B. Fracture | A. Fabrics/textiles | B. Impact behaviour | D. Acoustic emission | D. Non-destructive testing
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5. Full Text Is this melon sweet? A quantitative classification for near-infrared spectroscopy
by Zeb, Ayesha and Qureshi, Waqar S and Ghafoor, Abdul and Malik, Amanullah and Imran, Muhammad and Iqbal, Javaid and Alanazi, Eisa
Infrared physics & technology, ISSN 1350-4495, 05/2021, Volume 114, p. 103645
NIR Spectroscopy | Machine learning | Non-destructive testing
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6. Full Text Full wavefield processing by using FCN for delamination detection
by Ijjeh, Abdalraheem A and Ullah, Saeed and Kudela, Pawel
Mechanical systems and signal processing, ISSN 0888-3270, 05/2021, Volume 153, p. 107537
Lamb waves | Deep learning | Structural health monitoring | Non-destructive testing | Fully convolutional neural networks | Delamination identification | Usage | Wave propagation | Image processing | Neural networks | Laminated materials
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7. Full Text Detection of internal defects in CFRP strengthened steel structures using eddy current pulsed thermography
by Xie, Jing and Wu, Changwei and Gao, Lemei and Xu, Changhang and Xu, Yinsheng and Chen, Guoming
Construction & building materials, ISSN 0950-0618, 05/2021, Volume 282, p. 122642
Non-destructive testing | Thermal analysis | CFRP strengthened steel structures | Defects
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8. Full Text A simplified multiscale magneto-mechanical model for magnetic materials
by Zhao, Wei and Wang, Shuting and Xie, Xianda and Zhou, Xiangxu and Liu, Lunhong
Journal of magnetism and magnetic materials, ISSN 0304-8853, 05/2021, Volume 526, p. 167695
Magneto-mechanical model | Hysteresis | Simplified multiscale approach | Non-monotonic effect | Stress non-destructive testing | Models | Magnetization | Magnetic fields | Mechanical engineering | Analysis | Magnetic properties
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9. Full Text Machine learning-based prediction of internal checks in weathered thermally modified timber
by van Blokland, Joran and Nasir, Vahid and Cool, Julie and Avramidis, Stavros and Adamopoulos, Stergios
Construction & building materials, ISSN 0950-0618, 04/2021, Volume 281, p. 122193
Outdoor above-ground exposure | Norway spruce | Non-destructive testing | Decision tree | Acoustic velocity | Timber grading
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10. Full Text Current state of magnetic levitation and its applications in polymers: A review
by Xie, Jun and Zhao, Peng and Zhang, Chengqian and Fu, Jianzhong and Turng, Lih-Sheng
Sensors and actuators. B, Chemical, ISSN 0925-4005, 04/2021, Volume 333, p. 129533
Density-based analysis | Polymer | Density measurement | Non-destructive testing | Chemical sensing | Magnetic levitation
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11. Full Text Estimation method of yield strength of ferromagnetic materials based on pulsed eddy current testing
by Li, Kaiyu and Qiu, PengCheng and Wang, Pin and Lu, ZiXiang and Zhang, Zhengda
Journal of magnetism and magnetic materials, ISSN 0304-8853, 04/2021, Volume 523, p. 1
Hysteresis loss | Yield strength | Non-destructive testing | Eddy current loss | Pulsed eddy current | Physical Sciences | Materials Science | Technology | Materials Science, Multidisciplinary | Physics, Condensed Matter | Physics | Science & Technology | Electromagnetism | Magnetization | Iron industry | Image processing | Analysis | Ferromagnetism | Manufacturing costs | Methods | Iron and steel industry | Core loss | Tensile tests | Ferromagnetic materials | Mechanical properties | Model accuracy | Production costs | Current loss | Magnetism | Microstructure | Eddy currents | Yield stress | Eddy current testing
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