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.

1. 서 론
2. 수치해석 모델링 방법론
    2.1 기둥 파괴유형
    2.2 기둥 모델링 방법론
    2.3 대상 노후 철근콘크리트 기둥 모델링
3. 기둥 성능평가
4. 축력허용범위 산정 방법론
    4.1 축력허용범위 산정 과정
    4.2 노후 철근콘크리트 건축물 축력허용범위
5. 결 론
/ 감사의 글 /
/ REFERENCES /

• 황희진(경상국립대학교 건축공학과 석사과정) | Hwang Heejin (Master’s Course Student, Department of Architectural Engineering, Gyeongsang National University)
• 오근영(한국건설기술연구원 건축연구본부 수석연구원) | Oh Keunyeong (Senior Researcher, Department of Building Research, Korea Institute of Civil Engineering and Building Technology)
• 강재도(서울연구원 안전인프라연구실 연구위원) | Kang Jaedo (Research Fellow, Division of Safety and Infrastructure Research, The Seoul Institute)
• 신지욱(경상국립대학교 건축공학과 부교수(공학박사)) | Shin Jiuk (Associate Professor (PhD), Department of Architectural Engineering, Gyeongsang National University) Corresponding author