Abstract
Structural defects such as separation between concrete slab and foundation, and structural voids often occur in hydraulic engineering, which threatens the safety of hydraulic engineering. As the size and internal material of the hydraulic engineering can be queried, ground penetration radar (GPR) detection has the advantage to detect these defects when compared with other nondestructive detection methods. At the same time, when GPR detection is applied to defect these structural defects in hydraulic engineering, complex environmental factors including the uneven structural surface, clutter interference, water reflection, etc. have to be taken into account. In this work, two experimental models are designed to represent two different types of hydraulic structures and the structural defects including separation between concrete slab and its bottom material and void or hole defects are simulated on the two test models, respectively. Through the GPR detection on the two experimental models, the effects of the three environmental factors on the radar images and the signatures of the radar images under the influence of the three environmental factors are studied. Then, different image processing methods are adopted to reduce the influence of the three different environmental factors, and the effects of these methods are verified using the radar images obtained from the experiments. Finally, the GPR detection on a practical hydraulic engineering influenced by the environmental factors and the image processing methods are investigated, which successfully verify the experimental investigation results. It is expected that this study would provide significant technology support for structural defects detection in hydraulic engineering.
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References
Osamu Minemura, Noboru Sakata and Shigenori Yuyama 1998 Acoustic emission evaluation of an arch dam during construction cooling and grouting. Construction and Building Materials 12(6–7): 385–392 https://doi.org/10.1016/S0950-0618(97)00082-2
Zheng D J, Cheng L and Li X Q 2012 Face slab dispatch detection of concrete faced rock-fill dam. In: Proceedings of ASCE Earth and Space 2012 Conference, Pasadena, California, USA, pp. 858–866
Loh C H and Wu T S 1996 Identification of Fei-Tsui arch dam from both ambient and seismic response data. Soil Dynamics and Earthquake Engineering 15(7): 465–483 https://doi.org/10.1016/0267-7261(96)00016-4
Lal Mohit and Tiwari Rajiv 2018 Experimental identification of shaft misalignment in a turbo-generator system. Sadhana-Academy Proceedings in Engineering Science 43(5). https://doi.org/10.1007/s12046-018-0859-1
Jol H M 2009 Ground Penetrating Radar Theory and Applications 51(3): 595–604. https://doi.org/10.1016/B978-0-444-53348-7.00019-3
Lu Yizhu, Song Wenlong, Lu Jingxuan, Su Zhicheng and Liu Hong 2017 Soil water measurement by ground penetrating radar and its scale features. South-to-North Water Transfers and Water Science & Technology 15(2): 37–44. https://doi.org/10.13476/j.cnki.nsbdqk.2017.02.006
Ghodoosi F, Bagchi A, Zayed T and Hosseini M R 2018 Method for developing and updating deterioration models for concrete bridge decks using GPR data. Automation in Construction 91: 133–141 https://doi.org/10.1016/j.autcon.2018.03.014
Sagnard F and Tarel J P 2016 Template-matching based detection of hyperbolas in ground-penetrating radargrams for buried utilities. Journal of Geophysics and Engineering 13(4): 491–504 https://doi.org/10.1088/1742-2132/13/4/491
Liu L B and Xie X Y 2013 GPR for geotechnical engineering. Journal of Geophysics and Engineering 10(3) https://doi.org/10.1088/1742-2132/10/3/030201
Li J, Zeng Z F, Slob E, Chen X and Liu F S 2014 Simulation of GPR passive interferometry using cross-correlation for LNAPL model monitoring application. Geophysical Journal International 199(3): 1919–1928 https://doi.org/10.1093/gji/ggu367
Wang G Q and He K S 2006 Detecting badger cave disease in embankment by ground penetrating radar. Rock and Soil Mechanics 27(5): 838–841
Xue W, Zhu J C, Rong X, Huang Y J, Yang Y and Yu Y Y 2017 The analysis of ground penetrating radar signal based on generalized S transform with parameters optimization. Journal of Applied Geophysics 140: 75–83 https://doi.org/10.1016/j.jappgeo.2017.03.016
Zhang Baosen, Zhang Fangxiu, Liu Ziyang, Han Hongwei and Li Zhijun 2017 Field experiment study of the characteristics of GPR images of Yellow River ice. South-to-North Water Transfers and Water Science & Technology 15(1): 121–125. https://doi.org/10.13476/j.cnki.nsbdqk.2017.01.020
Zeng C, Chen C and Xu S F 2004 The application of ground penetrating radar in the highway road investigation. Chinese Journal of Engineering Geophisics 1(2): 130–135
Haykin S 2002 Adaptive filter theory. Publishing House of Electronics Industry; Pearson 4(96): 469–490
Kaplan G B, Icoglu O, Yoldemir A B and Sezgin M 2010 In: Proceedings of the International Conference on Ground Penetrating Radar. Lecce, Italy, pp. 1–6
Gao Xiang 2011 Researches on signal processing and target recognition of ground penetrating radar for subsurface detection. Ph.D. Thesis, Ocean University of China
Li Yi, Huang Chunlin and Lei Wentai 2006 The theory and application of Ground Penetration radar. Beijing, China: Science Press
Jeng Y, Li Y W, Chen C S and Chien H Y 2009 Adaptive filtering of random noise in near-surface seismic and ground-penetrating radar data. Journal of Applied Geophysics 68(1): 36–46 https://doi.org/10.1016/j.jappgeo.2008.08.013
Su M X, Li S C and Xue Y G 2010. GPR high resolution processing method based on the deconvolution. Journal of Zhejiang University (engineering edition). 44(6): 1201–1206
Xia J H, Franseen E K, Miller R D and Weis T V 2004 Application of deterministic deconvolution of ground-penetrating radar data in a study of carbonate strata. Journal of Applied Geophysics 56(3): 213–229 https://doi.org/10.1016/j.jappgeo.2004.07.003
Acknowledgements
This work is supported by National Key R&D Program of China (Grant No. 2016YFC0401601), the National Natural Science Foundation of China (Grant Nos. 51579085, 41323001, 51139001, 51279052, 51379068, 51579083, 51579086, 51209077, 51479054), China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (Grant No. 20145028312), Jiangsu Province “333 High-Level Personnel Training Project” (Grant Nos. 2016-B1307101, 2017-B08037), National Key R&D Program of China (Grant No. 2016YFC401601), Scientific innovation research of college graduated in Jiangsu Province (Grant No. KYZZ15_0140), the Fundamental Research Funds for the Central Universities (Grant Nos. 2015B32514, 2015B33314, 2016B04114),Huai’an Water Conservancy Academician Workstation, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering(Grant No. 20145028312), Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (Grant No. YS11001), Jiangsu Basic Research Program (Grant No. BK20160872).
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Zheng, D., Qiu, J., Wei, C. et al. An experimental GPR detection study of environmentally-influenced structural defects in hydraulic engineering. Sādhanā 43, 207 (2018). https://doi.org/10.1007/s12046-018-0978-8
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DOI: https://doi.org/10.1007/s12046-018-0978-8