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
학술대회자료
저자정보
저널정보
한국산업응용수학회 한국산업응용수학회 학술대회 논문집 한국산업응용수학회 학술대회 논문집 Vol.1 No.2
발행연도
2006.11
수록면
45 - 48 (4page)

이용수

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

초록· 키워드

오류제보하기
Since the meshfree method of smoothed particle hydrodynamics(SPH, 1977), there come out several kinds of remarkable meshfree methods: for example, the diffuse element method(DEM, 1992) by Nayrole, the element free Galerkin method(EFG, 1994) by Belytschko, the reproducing kernel particle method(RKPM, 1995) by Liu, the h-p cloud method(1996) by Duarte and Oden, the partition of unity finite element method(PUFEM, 1996) by Babu?ka, and the moving least square reproducing kernel method(MLSRK, 1996) by Liu. There methods developed explosively were naturally applied to flow problems as well for their potentials including performance test. They usually use the Galerkin formulation as the finite element method does, so that they are not free from the burden of numerical integrations. The worse takes place when enforcing the Dirichlet boundary condition due to the lack of Kronecker delta property of shape functions which does not make troubles in FEM at all. Thus, it happens to make the discrete system unstable. In flow simulations, the flux conservation is strongly dependent of how to impose the Dirichlet boundary condition.
To circumvent these obstacles, collocation-based mesh free methods hop into the world. Among them, Aluru developed a point collocation method in 2000, Zhang et al. did a least square collocation meshfree method in 2001, and Kim et al. in 2003 proposed the fast moving least square reproducing kernel(FMLSRK) approximation and, based on it, developed collocation schemes to readily solve flow problems.
Using our collocation method, what we are done with so far and what we are doing now, in computational fluid dynamics are presented through this talk.

목차

ABSTRACT
WHAT WE ARE DONE WITH
WHAT WE ARE DOING NOW
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-0101-2009-410-014679126