Journal Papers

Published / In Press

• Park, J. W., Ko, D., Jang, H., Kim, H., Lee, J., and Choi, W.* (2024). Estimation of Cr Coating Thickness for Accident Tolerant Fuel Cladding using Pancake ECT Sensor, Nuclear Engineering and Technology.
• Lee, S., Lee, J., Yoon, S., and Lee, Y.-J.* (2024). Efficient Finite Element Reliability Analysis Employing Sequentially-Updated Surrogate Model for Fragility Curve Derivation, Structures, 64, 107246.
• ​Kim, M., Lee, J., Lee, K., Jang, J.H., and Lee, Y.-J.* (2024). Data-driven method of probabilistic response prediction for cable-stayed bridges, Advances in Civil Engineering. 2024, 15.​​​​
• Lee, S., Lee, J.*, Kim, M., and Lee, S. (2024). Deep Learning-Based Anomaly Detection in Acceleration Data of Long-Span Cable-Stayed Bridges, Smart Structures and Systems, 33(2).
• Lee, J., Jeon, C.-H., Shim, C.-S., and Lee, Y.-J*. (2023) Bayesian Inference of Pit Corrosion in Prestressing Strands Using Markov Chain Monte Carlo Method, Probabilistic Engineering Mechanics, 74(2023), 103512.
• Lee, J., Jeong, S., Lee, J., Sim, S.-H, Lee, K.-C.*, and Lee, Y.-J.* (2022). Sensor Data-Based Probabilistic Condition Monitoring of Railway Bridges using Time-History Deflections Induced by High-Speed Trains, Structural Health Monitoring, 14759217211063424.
• Lee, J., Lee, Y.-J.*, and Shim, C.-S.* (2021). A Multi-Scale Framework for Probabilistic Structural Analysis of PSC Girders Considering Pit Corrosion of Prestressing Wires, Engineering Structures, 244, 112745.
• Lee, J., Lee, Y.-J.*, and Shim, C.-S.* (2020). Probabilistic Prediction of Mechanical Characteristics of Corroded Strands, Engineering Structures, 203, 109882.
• Lee, J., Lee, K.-C.*, Sim, S.-H., Lee, J., and Lee, Y.-J.* (2019). Bayesian Prediction of Pre-Stressed Concrete Bridge Deflection Using Finite Element Analysis, Sensors, 19(22), 4956.
• Lee, J., Lee, Y.-J.*, Sim, S.-H., and Cho, S. (2019). A New Probabilistic Framework for Structural System Fragility and Sensitivity Analysis of Concrete Gravity Dams, KSCE Journal of Civil Engineering, 23(8), 3592-3605.
• Lee, J., Lee, K.-C.*, Lee, Y.-J.* (2018). Long-Term Deflection Prediction from Computer Vision Measured Data History for High-Speed Railway Bridges, Sensors, 18(5), 1488.
• Kim, H., Sim, S.-H., Lee, J., Lee, Y.-J.*, and Kim, J.-M. (2017). Flood Fragility Analysis for Bridges with Multiple Failure Modes, Advances in Mechanical Engineering, 9(3), 1-11.
• Lee. J., Lee, Y.-J.*, Kim, H., Sim, S.-H., and Kim, J.-M. (2016). A New Methodology Development for Flood Fragility Curve Derivation Considering Structural Deterioration for Bridges, Smart Structures and Systems, 17(1), 149-165.
• 이승준, 이진구, 이영주, 이재범* (2024). 구조물 서비스 수명 예측을 위한 시간의존적 유한 요소 신뢰성 해석 기법, 한국비파괴검사학회지, .
• 이재범* (2024). 사전 설정된 기저 함수 기반 가우시안 프로세스 회귀를 통한 교량 응답의 이상 감지, 한국비파괴검사학회지, .
• 김윤희, 이재범, 김영준, 윤동근* (2014). 우리나라 재난안전분야 공공앱의 기능과 활용도 분석, 한국방재학회논문집, 14(1), 247-255.

Under Review / Submitted

• Kim, M., Lee, J.*, Lee, S., and Lee, S. Probabilistic Condition Assessment for Cable-Stayed Bridge Using Gaussian Mixture Model, Smart Structures and Systems, Under Review.
• Lee, J., Kim, H., Park, J. W., Ko, D., Jang, H., and Choi, W.* Probabilistic Chromium Coating Thickness Estimation on Nuclear Fuel Cladding using ECT Sensors and Gaussian Process Regression, NDT & E International, Under Review.

Patents & Software

• 이영주, Sreehari Ramachandra Prabhu, 이재범 (2019). 재료 파괴 특성 분석 장치 및 방법(Apparatus and Method for Analyzing Failure Characteristics of Material). 출원번호: 10-2017-0140450, 등록번호: 10-1982842.
• 이영주, 이승준, 이재범 (2019). 페럼-마이다스(FERUM-MIDAS). 등록번호: C-2019-031996
• 이재범, 이영주 (2016). 몬테카를로 아바쿠스(Monte Carlo ABAQUS). 등록번호: C-2016-005407.​

Conference Papers (International)

• Lee, J., Park, Y., and Kim, S. (2024). Enhancing Performance of Probabilistic Structural Condition Monitoring through Transfer Learning. The 8th Asian-Pacific Symposium on Structrual Reliability and Its Applications (APSSRA2024), September 29-October 2, Ulsan, Korea.
• Lee, J. (2024). Artificial Intelligence-Based Structural Condition Monitoring. The 2024 Emerging Scientist Workshop (ESW2024), August 26-28, NIM Chanping Campus, Beijing, China.
• Lee, J., Choi, W., Seung, H.M., and Ha, J.M. (2024). Structural Condition Monitoring using Deep Gaussian Process Regression. The 34th European Safety and Reliability Conference (ESREL2024), June. 23–27, Cracow, Poland.
• Lee, J., Choi, W., Seung, H.M., and Ha, J.M. (2024). Intuitive Structural Condition Monitoring through Time-Domain Anomaly Detection. 20th World Conference on Non-Destructive Testing (20th WCNDT), May 27-31, Incheon, Korea.
• Kim, M., Lee, J., and Lee, Y.-J. (2024). Probabilistic Prediction on Multiple Structural Responses for Cable Bridges based on Measurement Data. The 3rd Young Engineers Colloquium in Ease Aisa (YEC) by The International Association for Bridge and Structural Engineering (IABSE), Jan. 19–20, Seoul, Korea.
• Lee, J., Kim, H., Lee, S., Lee, H., and Kim, J. (2023). Comparative Study on Optimization Methods in Finite Element Model Updating. The 33rd European Safety and Reliability Conference (ESREL2023), Sep. 3–7, Southampton, United Kingdom.
• Lee, S., Lee, J., Yoon, S., and Lee, Y.-J. (2023). Efficient Finite Element Reliability Analysis Employing Surrogate Model for Seismic Fragility Curve Derivation. 14th International Conference on Application of Statistics and Probability in Civil Engineering (ICASP14), Jul. 9–13, Dublin, Ireland.
• Lee, J., Jeon, C.-H., Shim, C.-S., and Lee, Y.-J. (2022). Probabilistic Estimation of Pit Corrosion in Prestressing Strands for Prestressed Concrete Bridges. The 32nd European Conference on Safety and Reliability Conference (ESREL2022), Aug. 28–Sep. 1, Dublin, Ireland.
• Lee, J., and Kim, H. (2022). Probabilistic Finite Element Model Updating by Data Fusion of Acceleration and Angular Velocity. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-11), Aug. 8–12, Montreal, QC, Canada.
• Lee, J., Shim, C.-S., and Lee, Y.-J. (2022). Probabilistic finite element modeling of PSC beam considering pit corrosion. The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022), June. 20–24, Shanghai, China.
• Lee, J., Jeong, S., Lee, J., Sim, S.-H., Lee, K.-C., and Lee, Y.-J. (2021). Time-History Deflection Monitoring of Railway Bridges Subjected to High-Speed Trains, Asia Pacific Conference of the Prognostics and Health Management 2021 (PHMAP 2021), Sep. 8-11, Jeju, Korea.
• Lee, J., Shim, C.-S., and Lee, Y.-J. (2020). Probabilistic Inference on Corrosion Configurations Based on Tensile Test Results of Corroded Strand, The 2020 World Congress on Advances in Civil, Environmental, & Materials Research (ACEM20)/The 2020 Structures Congress (Structures20), Aug. 25-29, Seoul, Korea.
• Lee, J., Lee, K.-C., Sim, S.-H., Lee, J, and Lee, Y.-J. (2019). Vertical Deflection Prediction of PSC Bridge in Construction Stage Using Gaussian Process Regression, 2019 International Symposium on Sea-Crossing, Oct. 24-25, Seoul, Korea.
• Lee, J. and Lee, Y.-J. (2019). Bayesian Prediction of Deflection Based on Measurement Data for Cable-Stayed Bridges, 2019 International Symposium on Sea-Crossing Bridges, Oct. 24-25, Jeollanam-do, Korea.
• Lee, J., Lee, Y.-J., and Shim, C.-S. (2019). Probabilistic Prediction of Ultimate Strength and Strain of Corroded Steel Strands, 29th European Safety and Reliability Conference (ESREL 2019), Sep. 22-26, Hannover, Germany.
• Lee, J., Shim, C.-S., and Lee, Y.-J. (2019). Probabilistic Range Prediction of Ultimate Strength of Corroded Seven-Wire Strands, The 2019 World Congress on Advances in Structural Engineering and Mechanics (ASEM19), Sep. 17-21, Jeju, Korea.
• Lee, J., Lee, K.-C., Sim, S.-H., and Lee, Y.-J. (2019) Probabilistic Prediction of Vertical Deflection for Bridges using Gaussian Process Regression, 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9), Aug. 4-7, St. Louis, MO, USA.
• Lee, J., Lee, K.-C., and Lee, Y.-J. (2019). Probabilistic Prediction of Vertical Deflection for High-Speed Railway Bridges using a Gaussian Process, 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May 26-30, Seoul, Korea.
• Lee, Y.-J., Lee, J., and Lee, S. (2018). Probabilistic Fatigue Life Prediction Employing an Advanced Crack Propagation Model, The 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), July 9-13, Melbourne, Australia.
• Lee, J., Lee, Y.-J., Kim, H., and Sim, S.-H. (2017). Finite Element Reliability Analysis for Deriving Flood Fragility Curve of Deteriorated Bridges Considering Scour, The 12th International Conference on Structural Safety and Reliability (ICOSSAR12), Aug. 6-10, TU Wein, Vienna, Austria.
• Lee, J., Lee, Y.-K., Kim, H., and Sim, S.-H. (2016). Flood Fragility Analysis for Multiple Failure Modes of Bridges by Finite Element System Reliability Analysis, 2016 World Congress on Advances in Civil, Environmental, and Materials Research (ACEM16), Aug. 28-Sep. 1, Jeju, Korea.