Study of a Compton backscattering wall defects detection device using the Monte Carlo method

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). 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). Search in Google Scholar

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. 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 . Open DOISearch in Google Scholar

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). 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). Open DOISearch in Google Scholar

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. 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 . Open DOISearch in Google Scholar

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. 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 . Search in Google Scholar

6. Lee, T., & Lee, J. (2020). Setting time and compressive strength prediction model of concrete by nondestructive ultrasonic pulse velocity testing at early age. Constr. Build. Mater., 252, 119027. DOI: 10.1016/j.conbuildmat.2020.119027. Lee T. Lee J. ( 2020 ). Setting time and compressive strength prediction model of concrete by nondestructive ultrasonic pulse velocity testing at early age . Constr. Build. Mater. , 252 , 119027 . DOI: 10.1016/j.conbuildmat.2020.119027 . Open DOISearch in Google Scholar

7. Yang, H. L. (2022). Feasibility study on detecting internal damage of concrete after fire by impact echo method. Industrial Technology & Vocational Education, 20(1), 11–16. DOI: 10.16825/j.cnki.cn13-1400/tb.2022.01.003. (in Chinese). Yang H. L. ( 2022 ). Feasibility study on detecting internal damage of concrete after fire by impact echo method . Industrial Technology & Vocational Education , 20 ( 1 ), 11 – 16 . DOI: 10.16825/j.cnki.cn13-1400/tb.2022.01.003 . (in Chinese). Open DOISearch in Google Scholar

8. Niu, C. (2017). Principle study on detection of void condition behind tunnel lining by hammering method. Masteral dissertation, Beijing Jiaotong University, Beijing, China. (in Chinese). Niu C. ( 2017 ). Principle study on detection of void condition behind tunnel lining by hammering method . Masteral dissertation, Beijing Jiaotong University , Beijing, China . (in Chinese). Search in Google Scholar

9. Zhao, Q., Sang, Y., Gao, J. L., Yang, Y. Z., Sui, L. Z., & Zhu, W. Z. (2019). Summary of the research on impact-echo method to evaluate the quality of concrete. China Concrete and Cement Products, 12, 18–23. DOI: 10.19761/j.1000-4637.2019.12.018.06. (in Chinese). Zhao Q. Sang Y. Gao J. L. Yang Y. Z. Sui L. Z. Zhu W. Z. ( 2019 ). Summary of the research on impact-echo method to evaluate the quality of concrete . China Concrete and Cement Products , 12 , 18 – 23 . DOI: 10.19761/j.1000-4637.2019.12.018.06 . (in Chinese). Open DOISearch in Google Scholar

10. Trtnik, G., Kavčič, F., & Turk, G. (2009). Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks. Ultrasonics, 49(1), 53–60. DOI: 10.1016/j.ultras.2008.05.001. Trtnik G. Kavčič F. Turk G. ( 2009 ). Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks . Ultrasonics , 49 ( 1 ), 53 – 60 . DOI: 10.1016/j.ultras.2008.05.001 . Open DOISearch in Google Scholar

11. Solís-Carcaño, R., & Moreno, E. I. (2008). Evaluation of concrete made with crushed limestone aggregate based on ultrasonic pulse velocity. Constr. Build. Mater., 22(6), 1225–1231. DOI: 10.1016/j.conbuildmat.2007.01.014. Solís-Carcaño R. Moreno E. I. ( 2008 ). Evaluation of concrete made with crushed limestone aggregate based on ultrasonic pulse velocity . Constr. Build. Mater. , 22 ( 6 ), 1225 – 1231 . DOI: 10.1016/j.conbuildmat.2007.01.014 . Open DOISearch in Google Scholar

12. Lin, D. F., Chen, Z. H., Liu, M. M., Jia, Q. L., & Liu, L. H. (2017). Application of Compton backscattering technique in SRM detection. Nondestructive Testing, 39(12), 51–53. DOI: 10.11973/wsjc201712012. (in Chinese). Lin D. F. Chen Z. H. Liu M. M. Jia Q. L. Liu L. H. ( 2017 ). Application of Compton backscattering technique in SRM detection . Nondestructive Testing , 39 ( 12 ), 51 – 53 . DOI: 10.11973/wsjc201712012 . (in Chinese). Open DOISearch in Google Scholar

13. Wang, Z. L., Zhang, D. B., Li, X. M., Jiang, L. X., Chen, X. & Li, Y. S. (2020). Research on Compton back-scatter scanning detection technology for external wall thermal insulation system of existing buildings. Construction Technology, 49(9), 9–11+19. DOI: CNKI:SUN:SGJS.0.2020-09-003. (in Chinese) Wang Z. L. Zhang D. B. Li X. M. Jiang L. X. Chen X. & Li Y. S. ( 2020 ). Research on Compton back-scatter scanning detection technology for external wall thermal insulation system of existing buildings . Construction Technology , 49 ( 9 ), 9 – 11 +19. DOI: CNKI:SUN:SGJS.0.2020-09-003 . (in Chinese) Open DOISearch in Google Scholar

14. Margret, M., Menaka, M., Subramanian, V., Baskaran, R., & Venkatraman, B. (2018). Non-destructive inspection of hidden corrosion through Compton backscattering technique. Radiat. Phys. Chem., 152, 158–164. DOI: 10.1016/j.radphyschem.2018.07.015. Margret M. Menaka M. Subramanian V. Baskaran R. Venkatraman B. ( 2018 ). Non-destructive inspection of hidden corrosion through Compton backscattering technique . Radiat. Phys. Chem. , 152 , 158 – 164 . DOI: 10.1016/j.radphyschem.2018.07.015 . Open DOISearch in Google Scholar

15. Chuong, H. D., Thong, N. D., Nguyen, V. H., Minh, L. H., Truc Linh, N. T., Ho, P. L., Thanh, T. T., & Van Tao, C. (2022). Non-destructive evaluation of thickness of material plates through Compton backscattering technique using Si(Li) detector. Radiat. Phys. Chem., 193, 109978. DOI: 10.1016/j.radphyschem.2022.109978. Chuong H. D. Thong N. D. Nguyen V. H. Minh L. H. Truc Linh N. T. Ho P. L. Thanh T. T. Van Tao C. ( 2022 ). Non-destructive evaluation of thickness of material plates through Compton backscattering technique using Si(Li) detector . Radiat. Phys. Chem. , 193 , 109978 . DOI: 10.1016/j.radphyschem.2022.109978 . Open DOISearch in Google Scholar

16. Jamshidi, V., & Davarnejad, R. (2021). Photon backscatter radiography application for the simulation of corrosion detection inside a pipeline: A novel proposal for 360° corrosion consideration in the pipelines. Appl. Radiat. Isot., 176, 109844. DOI: 10.1016/j.apradiso.2021.109844. Jamshidi V. Davarnejad R. ( 2021 ). Photon backscatter radiography application for the simulation of corrosion detection inside a pipeline: A novel proposal for 360° corrosion consideration in the pipelines . Appl. Radiat. Isot. , 176 , 109844 . DOI: 10.1016/j.apradiso.2021.109844 . Open DOISearch in Google Scholar

17. Wu, J. Z. (2003). Portable Compton backscatter imager study. Masteral dissertation, Zhejiang University, Zhejiang, China. (in Chinese). Wu J. Z. ( 2003 ). Portable Compton backscatter imager study . Masteral dissertation, Zhejiang University , Zhejiang, China . (in Chinese). Search in Google Scholar

18. Boldo, E. M., & Appoloni, C. R. (2014). Inspection of reinforced concrete samples by Compton backscattering technique. Radiat. Phys. Chem., 95, 392–395. DOI: 10.1016/j.radphyschem.2012.12.013. Boldo E. M. Appoloni C. R. ( 2014 ). Inspection of reinforced concrete samples by Compton backscattering technique . Radiat. Phys. Chem. , 95 , 392 – 395 . DOI: 10.1016/j.radphyschem.2012.12.013 . Open DOISearch in Google Scholar

19. Sari, M. B., Wirawan, R., Waris, A., Kim, H. J., & Djamal, M. (2019). Simulation of void detection system using gamma-ray Compton scattering technique. J. Eng. Technol. Sci., 51(3), 369–379. DOI: 10.5614/j.eng.technol.sci.2019.51.3.5. Sari M. B. Wirawan R. Waris A. Kim H. J. Djamal M. ( 2019 ). Simulation of void detection system using gamma-ray Compton scattering technique . J. Eng. Technol. Sci. , 51 ( 3 ), 369 – 379 . DOI: 10.5614/j.eng.technol.sci.2019.51.3.5 . Open DOISearch in Google Scholar

20. Zhang, C., Yang, J., Li, R., Qiao, Y., Zhang, X., & Xu, J. (2020). Fluka simulation of PGNAA system for determining heavy metal pollution in the soil sample. Nukleonika, 65(1), 13–17. DOI: 10.2478/nuka-2020-0002. Zhang C. Yang J. Li R. Qiao Y. Zhang X. Xu J. ( 2020 ). Fluka simulation of PGNAA system for determining heavy metal pollution in the soil sample . Nukleonika , 65 ( 1 ), 13 – 17 . DOI: 10.2478/nuka-2020-0002 . Open DOISearch in Google Scholar

21. Ferrari, A., Sala, P. R., Fasso, A., & Ranft, J. (2005). Fluka: A multi-particle transport code. United States: U.S. Department of Energy Office of Scientific and Technical Information. Ferrari A. Sala P. R. Fasso A. Ranft J. ( 2005 ). Fluka: A multi-particle transport code . United States : U.S. Department of Energy Office of Scientific and Technical Information . Search in Google Scholar

22. Cao, Y. N. (2010). Compton scattering imagining technique in nondestructive test of aircraft structures research and simulation. Masteral dissertation, Civil Aviation University of China, Tianjin, China. (in Chinese). Cao Y. N. ( 2010 ). Compton scattering imagining technique in nondestructive test of aircraft structures research and simulation . Masteral dissertation, Civil Aviation University of China , Tianjin, China . (in Chinese). Search in Google Scholar