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신륵사 다층전탑의 구조해석에 대한 연구

Analytical Study of Static and Dynamic Responses of Multi-story Brick Pagoda of Silleuksa Temple

  • 이가윤 (세종대학교 건축공학과 딥러닝 건축연구소) ;
  • 이성민 ((재)한국건설품질연구원) ;
  • 이기학 (세종대학교 건축공학과 딥러닝 건축연구소)
  • Lee, Ga-Yoon (Deep Learning Architecture Research Center, Dep. of Architectural Engineering, Sejong University) ;
  • Lee, Sung-Min (Korea Construction Quality Research Center(KCQR)) ;
  • Lee, Kihak (Deep Learning Architecture Research Center, Dep. of Architectural Engineering, Sejong University)
  • 투고 : 2022.07.21
  • 심사 : 2022.09.07
  • 발행 : 2022.09.15

초록

Recently, cultural heritages in South Korea gain many interests of restoration and preservation from the government since many of that have been severely damaged during earthquakes. Many previous studies in both terms of experimental and analytical approaches have been done to examine structural behavior and decide appropriate methods of preservation. Being motivated by such researches, this research aims to investigate a religious stone pagoda dated back to the Goryeo Dynasty in Korea. The structure consists of a granite stone foundation and baked bricks, which resembles the shape of traditional pagodas. In order to examine the structural behavior of the pagoda, an analytical model is implemented using ANSYS, a comprehensive engineering simulation platform. For the time history analysis of the pagoda, several earthquake excitations are chosen and input to simulation modeling. Seismic response of the tower such as time domain, natural frequency, modal shapes and peak acceleration measured at each layer are presented and discussed. In addition, the amplification ratio of the tower is calculated from the accelerations of each layer to determine tower stability in accordance with Korean seismic design guide. The determination and evaluation of status and response of the brick tower by simulation analysis play an important role in the preservation of history as well as valuable architectural heritages in South Korea.

키워드

과제정보

이 논문은 2022년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업에(NRF-2022R1I1A1A01065372) 의해 수행되었습니다. 이에 감사드립니다.

참고문헌

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