Many school buildings are vulnerable to earthquakes because they were built before mandatory seismic design was applied. This study uses machine learning to develop an algorithm that rapidly constructs an optimal reinforcement scheme with simple information for non-ductile reinforced concrete school buildings built according to standard design drawings in the 1980s. We utilize a decision tree (DT) model that can conservatively predict the failure type of reinforced concrete columns through machine learning that rapidly determines the failure type of reinforced concrete columns with simple information, and through this, a methodology is developed to construct an optimal reinforcement scheme for the confinement ratio (CR) for ductility enhancement and the stiffness ratio (SR) for stiffness enhancement. By examining the failure types of columns according to changes in confinement ratio and stiffness ratio, we propose a retrofit scheme for school buildings with masonry walls and present the maximum applicable stiffness ratio and the allowable range of stiffness ratio increase for the minimum and maximum values of confinement ratio. This retrofit scheme construction methodology allows for faster construction than existing analysis methods.

Many school buildings are not applied seismic code because of small size structures. But it must be designed to show enough structural performance when subject to earthquake. Especially, most of school buildings are generally used as public shelters when the natural disasters such as flood and earthquake occur. In this study, the seismic risk of the reinforced concrete school building structure was evaluated by using the seismic performance evaluation methods of low-story RC structures developed in Japan and the required seismic performance index. In this paper, the seismic performance of the school building is evaluated by considering this short-column effects, building shape and deterioration.

In this study, the seismic performance of RC school buildings which were not designed according to earthquake-resistance design code were evaluated by using response spectrum and push-over analyses. From the results of analysis, the efficiency of the seismic retrofitting methods RC shear wall, steel frame, RC frame and PC wing wall for existing RC school buildings was evaluated and analysised. The analysis result indicate that the inter-story drift concentrated in the first floor and most plastic hinge forms in the column of the first story. And results of analysis of the efficiency of the seismic retrofitting indicate that inter-story drift significantly reduced and ductile behavior is expected.