腐蚀
材料科学
氧化铁
氧化物
共振(粒子物理)
核素
中子成像
中子
Rust(编程语言)
梁(结构)
复合材料
冶金
结构工程
核物理学
计算机科学
程序设计语言
工程类
粒子物理学
物理
作者
Binbin Tian,Sheng Wang,Hantao Jing,Mingfei Yan,Xiaolong Gao,Xiaoyun Yang
摘要
To prevent potential hazards caused by steel corrosion, there is an increase in demand for non-destructive inspection or monitoring of reinforcing steel corrosion in concrete structures. In this study, an iron-oxide-identifying imaging method is proposed that is based on a neutron resonance transmission imaging technique. According to the correlation analysis of the resonance characteristics of iron and oxygen and the elemental fractions, the iron oxides in the corroded reinforced concrete samples were accurately identified and mapped. The volume identification limit of the rust layer was further analyzed, and it is close to 0.1 mm. For the resonance energies of nuclides Fe-56 and O-16 in the tens and hundreds of keV range, the intensity of neutrons at the corresponding energy is only lower about three orders of magnitude after passing through a 40-cm-thick concrete block. The iron-oxide-identifying imaging method could also obtain a clear image of the iron-oxide distribution inside the 20-cm-thick corroded reinforced concrete sample.
科研通智能强力驱动
Strongly Powered by AbleSci AI