한국지진공학회논문집 (Journal of the Earthquake Engineering Society of Korea)

  • 제28권5호
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  • Pages.257-266
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  • 2024
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  • 1226-525X(pISSN)
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  • 2234-1099(eISSN)
한국지진공학회 (Earthquake Engineering Society of Korea)
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기계학습 기반 노후 철근콘크리트 건축물의 축력허용범위 산정 방법

ML-based Allowable Axial Loading Estimation of Existing RC Building Structures

  • 황희진 (경상국립대학교 건축공학과) ;
  • 오근영 (한국건설기술연구원 건축연구본부) ;
  • 강재도 (서울연구원 안전인프라연구실) ;
  • 신지욱 (경상국립대학교 건축공학과)
  • Hwang, Heejin (Department of Architectural Engineering, Gyeongsang National University) ;
  • Oh, Keunyeong (Department of Building Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Kang, Jaedo (Division of Safety and Infrastructure Research, The Seoul Institute) ;
  • Shin, Jiuk (Department of Architectural Engineering, Gyeongsang National University)
  • 투고 : 2024.02.27
  • 심사 : 2024.07.19
  • 발행 : 2024.09.01
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초록

Due to seismically deficient details, existing reinforced concrete structures have low lateral resistance capacities. Since these building structures suffer an increase in axial loads to the main structural element due to the green retrofit (e.g., energy equipment/device, roof garden) for CO2 reduction and vertical extension, building capacities are reduced. This paper proposes a machine-learning-based methodology for allowable ranges of axial loading ratio to reinforced concrete columns using simple structural details. The methodology consists of a two-step procedure: (1) a machine-learning-based failure detection model and (2) column damage limits proposed by previous researchers. To demonstrate this proposed method, the existing building structure built in the 1990s was selected, and the allowable range for the target structure was computed for exterior and interior columns.

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과제정보

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원(RS-2024-00348713) 및 과학기술정보통신부의 재원으로 수행된 한국건설기술연구원 주요사업의 결과물임(No.20240190-001).

참고문헌

  1. Ministry of Land, Infrastructure and Transport. Total of 7,354,340 Buildings N ationwide... Total Floor Area 4.13 Billion m2. Press Release; 2023 [cited 2024 04 19]; Available from: https://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?lcmspage=1&id=95087983
  2. Aycardi LE, Mander JB, Reinhorn AM. Seismic resistance of reinforced concrete frame structures designed only for gravity loads: experimental performance of subassemblages. Structural Journal. 1994;91(5):552-563.
  3. El-Attar AG, White RN, Gergely P. Behavior of gravity load design reinforced concrete buildings subjected to earthquakes. Structural Journal. 1997;94(2):133-145.
  4. Kam WY, Pampanin S, Elwood K. Seismic performance of reinforced concrete buildings in the 22 February Christchurch (Lyttleton) earthquake. New Zealand Society for Earthquake Engineering. 2011 Dec;44(4):239-278. https://doi.org/10.5459/bnzsee.44.4.239-278
  5. Priestley MJN. Displacement-based seismic assessment of reinforced concrete buildings. J Earthquake Eng. 1997;1(1):157-192. https://doi.org/10.1080/13632469708962365
  6. MOLIT, Structural Standards for Condominium Remodeling with Vertical Extension, Korea Ministry of Land, Infrastructure and Transport; c2014.
  7. Yoo HY, Yoon HY. The limitations and improvement schemes of the legalization of illegal buildings. Journal of architectural institute of Korea. 2014;30(11):57-64.
  8. Gill WD. Ductility of rectangular reinforced concrete columns with axial load. University of Canterbury; c1979. 101 p.
  9. Lehman DE. Seismic performance of well-confined concrete bridge columns. University of California; c2000. 326 p.
  10. Sheikh SA, Yeh CC. Flexural behavior of confined concrete columns. In Journal Proceedings. 1986 May;83(3):389-404. https://doi.org/10.14359/10440
  11. Xiao C, Qiao B, Li J, Yang Z, Ding J. Prediction of transverse reinforcement of RC columns using machine learning techniques. Advances in Civil Engineering; c2022.
  12. American Institute of Steel Construction. AISC Design Guide 28 - Stability Design of Steel Buildings; c2013.
  13. McKenna F, Scott MH, Fenves GL. Nonlinear finite-element analysis software architecture using object composition. J Comput Civ Eng. 2010;24(1):95-107. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000002
  14. Mo YL, Wang SJ. Seismic behavior of RC columns with various tie configurations. J Struct Eng 2000;126(10):1122-1130. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:10(1122)
  15. Berry MP, Lehman DE, Lowes LN. Lumped-plasticity models for performance simulation of bridge columns. ACI Struct J. 2008; 105(3):270.
  16. Mander JB, Priestley MJ, Park R. Theoretical stress-strain model for confined concrete. J Struct Eng. 1988;114(8):1804-1826. https://doi.org/10.1061/(ASCE)0733-9445(1988)114:8(1804)
  17. Sezen H, Moehle, JP. Seismic behavior and modeling of reinforced concrete building columns. In Seventh US National Conference on Earthquake Engineering, Earthquake Engineering Research Institute; c2004.
  18. Ministry of Land, Guidelines for Seismic Performance Evaluation of Existing Structures (Buildings). Ministry of Land; c2021.
  19. MIDAS IT. (2017). MIDAS/GEN V8. 5.5 Users Manual. Kawashima, K. (2000). Seismic design and retrofit of bridges. Bulletin of the New Zealand Society for Earthquake Engineering, 33(3), 265-285.
  20. Kawashima K. Seismic design and retrofit of bridges. Bulletin of the New Zealand Society for Earthquake Engineering, 2000;33(3):265-285. https://doi.org/10.5459/bnzsee.33.3.265-285
  21. Naderpour H, Mirrashid M, Parsa P. Failure mode prediction of reinforced concrete columns using machine learning methods. J Eng Str. 2021;248:113263.
  22. Hiromichi Y, Toshiaki M. Ductility and failure modes of single reinforced concrete columns. In JCI-C51E Seminar on Post-Peak Behavior of RC Structures subjected to Seismic Loads. 1999;2:229-224.
  23. American Society of Civil Engineers (ASCE). Seismic evaluation and retrofit of existing buildings. American Society of Civil Engineers; c2023.
  24. Kim S, Hwang H, Oh K, Shin J. A Machine-Learning-Based Failure Mode Classification Model for Reinforced Concrete Columns Using Simple Structural Information. Applied Sciences. 2024;14(3):1243.
  25. Pagni CA, Lowes LN. Fragility functions for older reinforced concrete beam-column joints. Earthquake Spectra. 2006;22(1):215-238. https://doi.org/10.1193/1.2163365
  26. Jeon JS, DesRoches R, Lowes LN, Brilakis I. Framework of aftershock fragility assessment-case studies: older California reinforced concrete building frames. Earthq Eng Struct Dyn. 2015;44(15):2617-2636. https://doi.org/10.1002/eqe.2599