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.

이 연구에서는 현실적이고 유의미한 내진보강비용 산정하기 위해 실제 내진보강 사례를 기반으로 통계분석을 수행하여 건축물의 노후도와 연면적을 고려한 보다 현실적인 내진보강 비용을 추정하는 연구를 수행하였다. 데이터 베이스를 기반으로 노후도에 따라 연면적 대한 내진보강비용을 통계적으로 분석하여 이를 정규화하였고, 역으로 연 면적과 준공연도를 가지고 내진보강공사비용을 역추산할 수 있는 방법을 제안하였다.. 지속적인 내진보강 사업 사례의 빅데이터화가 이루어지면 정확성이 높은 내진보강 비용 산정이 실현될 것으로 판단된다.

In this study, an effective maintenance and management strategies were discussed to secure a structural safety of small-scaled timeworn buildings in Seoul. The structural vulnerable characteristics should be analyzed to fix the order of priority on maintenance and management of lots of buildings. This study could be used for a policy establishment of Seoul.

The number of deteriorated buildings is increasing every year, and the number of accidents is increasing due to the lack of timely diagnosis, maintenance, and reinforcement. The number of specialized institutions that can diagnose this is limited compared to the number of deteriorated buildings, and a lot of time and resources are invested in the absence of advanced diagnostic techniques based on the evaluation factors of deteriorated buildings. Therefore, it is necessary to build an improved building diagnosis platform by examining the reliability of existing diagnostic evaluation factors for accurate and rapid building diagnosis.

University facilities have became aged building because their average was more than 30 years old. The physical condition of the university facility is significantly correlated with student academic performance and outcome. Thus, green remodeling is crucial which improves energy performances of university facilities and student outcome. This study analyzes the case of 'H university'. Target of case study applies Green-Remodeling in old university facility for performance improvement. Goal of this study is suggestion for strategies to successfully apply Green-Remodeling to a university facility. This study draws a conclusion from risk analysis of the target case.

University facilities have became aged building because their average was more than 30 years old. The physical condition of the university facility is significantly correlated with student academic performance and outcome. Thus, green remodeling is crucial which improves energy performances of university facilities and student outcome. This study analyzes the case of 'H university'. Target of case study applies Green-Remodeling in old university facility for performance improvement. Goal of this study is suggestion for strategies to successfully apply Green-Remodeling to a university facility. This study draws a conclusion from risk analysis of the target case.

최근 세계 곳곳에서 대규모 지진이 발생하여 건축물 붕괴에 따른 피해가 속출함에 따라 지진에 대비하기 위해 기존 건축물의 내진 성능을 보강방안에 대한 관심이 높아지고 있다. 그러나 현재 우리나라의 경우, 교육생활의 터전임과 동시에 가구 재난 발생 시 지역주민들의 응급피난장소인 학교 건축물조차 내진설계가 제대로 이루어져 있지 않고 있어, 지진 발생 시 막대한 피해가 예상된다. 현 상황을 극복하기 위해 기존 노후화 학교 건축물의 내진성능을 향상시키기 위한 적절한 보강방안이 제시되어야한다. 본 논문에서는 범용해석프로그램을 통해 기존 노후화 학교 건축물에 대한 비선형정적해석에 결과에 따른 내진보강 후 비선형 시간이력해석을 실시하여 지진하중에 의한 구조물의 비선형 거동을 규명하고 내진 보강 효과를 검증하고자 한다.