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기계학습 기반 철근콘크리트 기둥에 대한 신속 파괴유형 예측 모델 개발 연구

Machine Learning-Based Rapid Prediction Method of Failure Mode for Reinforced Concrete Column

  • 김수빈 (경상국립대학교 건축공학과) ;
  • 오근영 (한국건설기술연구원 건축연구본부) ;
  • 신지욱 (경상국립대학교 건축공학과)
  • Kim, Subin (Department of Architecture Engineering, Gyeongsang National University) ;
  • Oh, Keunyeong (Department of Building Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Shin, Jiuk (Department of Architecture Engineering, Gyeongsang National University)
  • 투고 : 2023.10.30
  • 심사 : 2023.12.15
  • 발행 : 2024.03.01

초록

Existing reinforced concrete buildings with seismically deficient column details affect the overall behavior depending on the failure type of column. This study aims to develop and validate a machine learning-based prediction model for the column failure modes (shear, flexure-shear, and flexure failure modes). For this purpose, artificial neural network (ANN), K-nearest neighbor (KNN), decision tree (DT), and random forest (RF) models were used, considering previously collected experimental data. Using four machine learning methodologies, we developed a classification learning model that can predict the column failure modes in terms of the input variables using concrete compressive strength, steel yield strength, axial load ratio, height-to-dept aspect ratio, longitudinal reinforcement ratio, and transverse reinforcement ratio. The performance of each machine learning model was compared and verified by calculating accuracy, precision, recall, F1-Score, and ROC. Based on the performance measurements of the classification model, the RF model represents the highest average value of the classification model performance measurements among the considered learning methods, and it can conservatively predict the shear failure mode. Thus, the RF model can rapidly predict the column failure modes with simple column details.

키워드

과제정보

본 논문은 2023년도 교육부의 재원으로 한국연구재단의 지원(2021RIS-003)을 받아 수행된 지자체-대학 협력기반 지역혁신 사업 및 과학기술정보통신부의 재원으로 수행된 한국건설기술연구원 주요사업(No.20230146-001)의 일환으로 수행되었음.

참고문헌

  1. Mo YL, Wang SJ. Seismic behavior of RC columns with various tie configurations. Journal of Structural Engineering. 2000;126(10):1122-1130. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:10(1122)
  2. Lynn AC, Moehle JP, Mahin SA, Holmes WT. Seismic evaluation of existing reinforced concrete building columns. Earthquake Spectra. 1996;12(4):715-739. https://doi.org/10.1193/1.1585907
  3. Sezen H, Moehle JP. Seismic behavior of shear-critical reinforced concrete building columns. Seventh US National Conference on Earthquake Engineering. Boston, MA. Earthquake Engineering Research Institute; c2002.
  4. Zhu L, Elwood K, Haukaas T. Classification and seismic safety evaluation of existing reinforced concrete columns. J Struct Eng. 2007;133(9):1316-1330. Available from: https://doi.org/10.1061/(ASCE)0733-9445(2007)133:9(1316)
  5. Qi Yl, Han XL, Ji J. Failure mode classification of reinforced concrete column using Fisher method. Journal of Central South University. 2013;20(10):2863-2869. Available from: https://doi.org/10.1007/s11771-013-1807-1
  6. Naderpour H, Mirrashid M. Proposed soft computing models for moment capacity prediction of reinforced concrete columns. Soft Comput. 2020;24(15):11715-11729. Available from: https://doi.org/10.1007/s00500-019-04634-8
  7. Mirrashid M, Naderpour H. Innovative Computational Intelligence- Based Model for Vulnerability Assessment of RC Frames Subject to Seismic Sequence. J Struct Eng. 2021;147(3):04020350. Available from: https://doi.org/10.1061/(ASCE)ST.1943-541X.0002921
  8. Alibrandi U, Alani AM, Ricciardi G. A new sampling strategy for SVM-based response surface for structural reliability analysis. Probab Eng Mech. 2015;41:1-12. Available from: https://doi.org/10.1016/j.probengmech.2015.04.001
  9. Mangalathu S, Jeon JS. Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques. Eng Struct. 2018;160:85-94. Available from: https://doi.org/10.1016/j.engstruct.2018.01.008
  10. Naderpour H, Mirrashid M. Classification of failure modes in ductile and non-ductile concrete joints. Eng Fail Anal. 2019;103:361-375. Available from: https://doi.org/10.1016/j.engfailanal.2019.04.047
  11. Alcantara PA, Imai H. Failure mode classification of reinforced concrete columns by the analysis of the strain distribution in the main reinforcement. Proceedings of the 12th World Conference on Earthquake Engineering; 2000 Jan 30-Feb 4; Auckland, NZ; New Zealand Society for Earthquake Engineering: c2000.
  12. Ying M, Jin-Xin G. Seismic failure modes and deformation capacity of reinforced concrete columns under cyclic loads. Periodica Polytechnica Civil Engineering. 2018;62(1):80-91. https://doi.org/10.3311/PPci.9893
  13. Mangalathu S, Hwang SH, Jeon JS. Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach. Eng Struct. 2020;219:110927.
  14. Feng DC, Liu ZT, Wang XD, Jiang ZM, Liang SX. Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm. Adv Eng Inf. 2020;45:101126.
  15. Berry M, Parrish M, Eberhard M. PEER structural performance database user's manual (version 1.0). Berkeley: University of California; c2004.
  16. Yoshikawa H, Miyagi T. Ductility and failure modes of single reinforced concrete columns. Nippon Konkurito Kogaku Kyokai Ronbunshu. 1999;51(1):229-224.
  17. Naderpour H, Mirrashid M, Parsa P. Failure mode prediction of reinforced concrete columns using machine learning methods. Engineering Structures. 2021;248:113263.
  18. Choi JS, Yang WJ, Yi WH. Shear Strength Evaluation of Reinforced Concrete Columns 1 : Variable Analysis for Code Method. Journal of the Architectural Institute of Korea (JAIK). 2017;37(1):687-688.
  19. Bazant ZP, Kwon YW. Failure of slender and stocky reinforced concrete columns: Tests of size effect. Materials and Structures. 1994;27:79-90. https://doi.org/10.1007/BF02472825
  20. Shi Q, Ma L, Wang Q, Wang B, Yang K. Seismic performance of square concrete columns reinforced with grade 600 MPa longitudinal and transverse reinforcement steel under high axial load. In: Structures. Elsevier; c2021. p. 1955-1970.