건축도시공간연구소

Architecture & Urban Research Institute

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한국공간구조학회|한국공간구조학회지 2024년 6월

기사명 기계학습 기반 강 구조물 지진응답 예측기법 / Machine Learning based Seismic Response Prediction Methods for Steel Frame Structures
저자명 이승혜 ; 이재홍
발행사 한국공간구조학회
수록사항 한국공간구조학회지 , Vol. 24, No. 2 (통권 96호)(2024-06)
페이지 시작페이지(91) 총페이지(10)
ISSN 15984095
주제분류 구조
주제어 ; Machine learning; Steel frame structures; Seismic response; Prediction methods; Deep learning
요약2 In this paper, machine learning models were applied to predict the seismic response of steel frame structures. Both geometric and material nonlinearities were considered in the structural analysis, and nonlinear inelastic dynamic analysis was performed. The ground acceleration response of the El Centro earthquake was applied to obtain the displacement of the top floor, which was used as the dataset for the machine learning methods. Learning was performed using two methods: Decision Tree and Random Forest, and their efficiency was demonstrated through application to 2-story and 6-story 3-D steel frame structure examples.
소장처 한국공간구조학회
언어 한국어
DOI http://dx.doi.org/10.9712/KASS.2024.24.2.91