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Deep Learning-Based Prediction of Hysteresis Loop for Phase Change Material-Infilled Buckling-Restrained Brace

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dc.contributor.author도재혁-
dc.contributor.author임기훈-
dc.contributor.author배재훈-
dc.contributor.author김상훈-
dc.date.accessioned2024-12-02T09:39:36Z-
dc.date.available2024-12-02T09:39:36Z-
dc.date.issued2023-08-30-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/71460-
dc.titleDeep Learning-Based Prediction of Hysteresis Loop for Phase Change Material-Infilled Buckling-Restrained Brace-
dc.typeConference-
dc.citation.titleICIC International-
dc.citation.conferenceNameThe 17th International Conference on Innovative Computing, Information and Control (ICICIC2023)-
dc.citation.conferencePlace일본-
dc.citation.conferencePlaceKumamoto City International Center-
dc.citation.conferenceDate2023-08-29 ~ 2023-08-31-
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우주항공대학 (항공우주공학부)
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