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Experimental and numerical study on structural performance of reinforced concrete box sewer with localized extreme defect 被引量:1
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作者 Yuequan Bao Dongyang Feng +2 位作者 Nan Ma Hehua Zhu Timon Rabczuk 《Underground Space》 SCIE EI 2018年第2期166-179,共14页
An experimental and numerical investigation into the structural performance of reinforced concrete box sewers with typical corrosion-related extreme defects localized at the ceiling was conducted.Firstly,during the la... An experimental and numerical investigation into the structural performance of reinforced concrete box sewers with typical corrosion-related extreme defects localized at the ceiling was conducted.Firstly,during the large-scale laboratory test,some key struc-tural responses were captured and evaluated,including the crack width development process(via digital image correlation measurement),ceiling deflection,and material strains of both complete and typical defective boxes.The failure modes and load-carrying mechanism throughout the specimen loading phases were analyzed.Furthermore,the specimen failure process was simulated using a damage-basedfinite element method,and a related parameter sensitivity analysis was performed.The results indicate that the defective ceiling cracked at mid-span under a low load value,but the bending capacity loss can be substituted by two shoulders and carry three tofive times more load before completely collapsing.The simulation matched the lab test qualitatively,and with the suggested set strategy of material parameters,the load-deflection feature curve could provide a practical prediction of the ultimate bearing capacity of the defec-tive sewers,with a 10–15%error on the safe side. 展开更多
关键词 Defective reinforced concrete box sewer Corrosion Structural performance Large-scale model test Digital image correlation measurement Failure simulation
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Defect Recognition in Thermosonic Imaging 被引量:4
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作者 CHEN Dapeng WU Naiming ZHANG Zheng 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2012年第4期657-662,共6页
This work is aimed at developing an effective method for defect recognition in thermosonic imaging.The heat mechanism of thermosonic imaging is introduced,and the problem for defect recognition is discussed.For this p... This work is aimed at developing an effective method for defect recognition in thermosonic imaging.The heat mechanism of thermosonic imaging is introduced,and the problem for defect recognition is discussed.For this purpose,defect existing in the inner wall of a metal pipeline specimen and defects embedded in a carbon fiber reinforced plastic(CFRP) laminate are tested.The experimental data are processed by pulse phase thermography(PPT) method to show the phase images at different frequencies,and the characteristic of phase angle vs frequency curve of thermal anomalies and sound area is analyzed.A binary image,which is based on the characteristic value of defects,is obtained by a new recognition algorithm to show the defects.Results demonstrate good defect recognition performance for thermosonic imaging,and the reliability of this technique can be improved by the method. 展开更多
关键词 thermosonic imaging defect recognition Fourier transforms characteristic value carbon fiber reinforced plastic
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