메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Joo Shin Park (Samsung Heavy Industries) Jung Kwan Seo (Pusan National University)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제46권 제3호
발행연도
2022.6
수록면
107 - 114 (8page)
DOI
10.5916/jamet.2022.46.3.107

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
To build a vessel, structural divisions (blocks) of various sizes are first used to form small and medium assemblies, and then a large assembly is formed. The building blocks are finally assembled in a dock via pre-erection to complete hulls, during which supports of various shapes are utilized to prevent overturning and control load distribution. These supports are tailored for specific sites; hence, modifying them for use in jigs may result in jig safety misestimation. Several recent cases of structural damage due to block overturning were caused by the load exceeding the allowable load of the aged supports. In this study, to develop a method for accurately predicting the safe working loads (SWLs) of supports, which are essential in shipbuilding, we performed a finite element series analysis while varying the parameters of different supports, to determine the effect of the parameters on the SWL. In addition, we compared the obtained results with the existing criteria. The Euler equation overestimated the effect of the length change and thus provided unreliable results for long supports. However, the proposed empirical formula based on nonlinear analysis accurately predicted the SWL of supports and reflected the influence of the parameters; therefore, the formula is beneficial for support design.

목차

Abstract
1. Introduction
2. Characteristics of Block Support Structures
3. Development of a Unified Formula
4. Conclusion and Remarks
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2022-559-001555204