Defect detection method of underwater bored cast-in-place pile based on optical image in borehole
Tóm tắt
Từ khóa
Tài liệu tham khảo
Li L, Li JP, Yue ZW (2016) Study on mechanical mechanism of borehole wall stability of bored cast-in-place pile in saturated clay. Geotech Mech 37(09):2496–2504. https://doi.org/10.16285/j.rsm.2016.09.009
Zhang RY, Zhang HY (2018) Application of bored cast-in-place pile technology in housing construction. Residential and real estate 24:181
Shen JH, Liu HQ, Yang Y (2015) borehole forming quality inspection of large diameter and super long bored pile. Highway Transport Technol (Appl Technol Edn) 11(11):167–169
Peng BJ (2016) Study on retaining wall design method of manual borehole digging pile considering borehole channeling effect. Geol Explor 52(02):307–315
Wei YG (2016) Discussion on treatment method of retaining wall collapse of manual borehole digging pile. Eng Construct Design 7:167–168172. https://doi.org/10.13616/j.cnki.gcjsysj.2016.07.045
Ali S, Tian GY, Mengbao F (2017) Pulsed Eddy current non-destructive testing and evaluation: a review. Chin J Mech Eng 30(03):500–514
Wu XJ, Zhang Q, Shen GT (2016) Overview of pulsed eddy current nondestructive testing technology. J Instrum 37(08):1698–1712. https://doi.org/10.3969/j.issn.0254-3087.2016.08.003
Saleh H, Aouni AL (2012) Application of time–frequency analysis for automatic hidden corrosion detection in a multilayer aluminum structure using pulsed eddy current. NDT E Int. https://doi.org/10.1016/j.ndteint.2011.12.001
Chen M, Chen XZ, Chen GY (2018) Ultrasonic detection of damage state of concrete filled steel tubular under axial compression. J Northeast Univ (Nat Sci Edn) 39(10):1458–1462. https://doi.org/10.12068/j.issn.1005-3026.2018.10.018
Zhang M (2018) How to improve the effect of ultrasonic testing of pile foundation. Sci Technol Innovat 9:95–96
Wang YQ, Chen YQ (2017) Identification and elimination of false defect signal in ultrasonic guided wave pipeline inspection. China Sci: Technol Sci 47(02):137–148
Li HJ (2018) Application of pipeline CCTV detection technology in urban drainage projects. Management and technology of small and medium-sized enterprises (next ten days) 2:170-171
Qi LH, Zu SQ, Ma J (2017) CCTV detection results and suggestions of a regional sewage pipe network in Zhuhai. China Water Supply Drainage 33(22):135–138
Bin C, Rong L, Wanjian B, et al (2019) Research on recognition method of optical detection image of underwater robot for submarine cable[C]. 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Chongqing, China, 1973–1976
Lecun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444. https://doi.org/10.1038/nature14539
Zhang JX, Yordanov B, Gaunt A et al (2021) A deep learning model for predicting next-generation sequencing depth from DNA sequence. Nat Commun 12:4387. https://doi.org/10.1038/s41467-021-24497-8
Myrans J, Kapelan Z, Everson R (2016) Automated detection of faults in wastewater pipes from CCTV footage by using random forests. Proc Eng 154:36–41. https://doi.org/10.1016/j.proeng.2016.07.416
Yang MD, Chen YP, Su TC (2016) Sewer pipe defects diagnosis assessment using multivariate analysis on CCTV video imagery. Urban Water J 14(5):475–482. https://doi.org/10.15890/j.cnki.jsjs.2019.06.022
Wang J, Chen W, Wang Y (2021) Coral reef pore recognition and feature extraction based on borehole image. Mar Georesour Geotechnol 11:1–12. https://doi.org/10.1080/1064119X.2021.1874576
Wang J, Wang C, Han Z (2020) Characteristic Parameters Extraction Method of Hidden Karst Cave from borehole Radar Signal. Int J Geomech 20(8):04020113. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001733
Wang JC, Wang CY, Hu S, Han ZQ (2017) Research on structural plane parameter extraction method of borehole wall borehole image. Geotechn Mech 10:3074–3080. https://doi.org/10.16285/j.rsm.2017.10.038
Wang X, Xu H, Wang J (2022) Damage area identification of underwater structures based on wavelength difference of light source. J Civ Struct Heal Monit 4:1–15. https://doi.org/10.1007/s13349-022-00558-4