Study of a Compton backscattering wall defects detection device using the Monte Carlo method
Author:
Qin Xuan1, Yang Jianbo2ORCID, Du Zhengcong3, Xu Jie1, Li Rui1, Li Hui1, Liu Qi4
Affiliation:
1. Chengdu University of Technology , Chengdu, Sichuan , China 2. Chengdu University of Technology , Chengdu, Sichuan , China and Sichuan University of Science & Engineering , Zigong, Sichuan , China 3. Xichang University , Xichang, Sichuan , China 4. Sichuan University of Science & Engineering , Zigong, Sichuan , China
Abstract
Abstract
In view of the shortcomings of traditional wall defect detection methods, such as small detection range, poor accuracy, non-portable device, and so on, a wall defects detection device based on Compton backscattering technology is designed by Monte Carlo method, which is mainly used to detect the size and location information of defects in concrete walls. It mainly consists of two parts, the source container and the detection system: first, through the simulation and analysis of the parameters such as the receiving angle of the backscattered particles and the rear collimating material of the detector, the influence of the fluorescent X-ray peak of the detector collimating material on the backscattered particle counts is eliminated and the detected error is reduced; second, the ring array detector design, compared with single array detector and surface array detector, can facilitate real-time detection of defect orientation, expanding the single scan range and improving the detection efficiency. After simulation and comparative analysis, the relevant optimal parameters are obtained: the object is detected using a Cs-137 γ-ray source with an activity of 6 mCi, and a ring detector consisting of four 0.5-inch cube-shaped CsI scintillator detectors is placed at 150° to receive the backscattered photons. The simulation analysis using the Monte Carlo FLUKA program showed that the maximum depth of wall defect detection is 8 cm, the maximum error fluctuation range of defect depth and thickness is ±1 cm, the overall device weight is <20 kg, and the measurement time is <5 min.
Publisher
Walter de Gruyter GmbH
Subject
Waste Management and Disposal,Condensed Matter Physics,Safety, Risk, Reliability and Quality,Instrumentation,Nuclear Energy and Engineering,Nuclear and High Energy Physics
Reference22 articles.
1. Ge, J. Y., & Hou, J. L. (2021). Research on defects of building exterior wall based on infrared thermal imaging technology. In 27th Annual Academic Conference of Beijing Society of Theoretical and Applied Mechanics, 16 January 2021 (pp. 1122–1124). Beijing, China: Beijing Society of Theoretical and Applied Mechanics. (in Chinese). 2. Jin, H., & Zou, L. L. (2021). Detection of hidden disease of concrete bridge based on infrared thermal imaging. J. Phys.-Conf. Series, 1748(4), 042041. DOI: 10.1088/1742-6596/1748/4/042041. 3. Yao, F., Lu, X. Q., & Chen, G. Y. (2021). Experimental and signal processing research on concrete-rock structural defects by impact-echo method. Journal of Railway Science and Engineering, 18(9), 2316–2323. DOI: 10.19713/j.cnki.43-1423/u.T20200974. (in Chinese). 4. Yeh, P. L., Liu, P. L., & Hsu, Y. Y. (2018). Parametric analysis of the impact-echo phase method in the differentiation of reinforcing bar and crack signals. Constr. Build. Mater., 180, 375–381. DOI: 10.1016/j.conbuildmat.2018.05.243. 5. Zheng, H., & Kappatos, V. (2015). Defect detection in concrete pile using impulse response measurements with sine sweep excitations. In International Symposium Non-Destructive Testing in Civil Engineering, 15–17 September 2015 (pp. 1–4). Berlin, Germany: Federal Institute for Materials Research and Testing.
|
|