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      경계면 처리 개선을 통한 다중해상도 유동해석 기법 개선 연구

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      https://www.riss.kr/link?id=A101718337

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      The computational efficiency of flow simulations with Multi-resolution analysis (MRA) was enhanced via the boundary treatment of the computational domain. In MRA, an adaptive dataset to a solution is constructed through data decomposition with interpolating polynomial and thresholding. During the decomposition process, the basis points of interpolation should exceed the boundary of the computational domain. In order to resolve this problem, the weight coefficients of interpolating polynomial were adjusted near the boundaries. By this boundary treatment, the computational efficiency of MRA was enhanced while the numerical accuracy of a solution was unchanged. This modified MRA was applied to two-dimensional steady Euler equations and the enhancement of computational efficiency and the maintenance of numerical accuracy were assessed.
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      The computational efficiency of flow simulations with Multi-resolution analysis (MRA) was enhanced via the boundary treatment of the computational domain. In MRA, an adaptive dataset to a solution is constructed through data decomposition with interpo...

      The computational efficiency of flow simulations with Multi-resolution analysis (MRA) was enhanced via the boundary treatment of the computational domain. In MRA, an adaptive dataset to a solution is constructed through data decomposition with interpolating polynomial and thresholding. During the decomposition process, the basis points of interpolation should exceed the boundary of the computational domain. In order to resolve this problem, the weight coefficients of interpolating polynomial were adjusted near the boundaries. By this boundary treatment, the computational efficiency of MRA was enhanced while the numerical accuracy of a solution was unchanged. This modified MRA was applied to two-dimensional steady Euler equations and the enhancement of computational efficiency and the maintenance of numerical accuracy were assessed.

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      참고문헌 (Reference)

      1 Holmström, M., "Solving hyperbolic PDEs using interpolation wavelets" 21 : 405-420, 1999

      2 Sjögreen, B., "Numerical experiments with the multi-resolution scheme for the compressible Euler equations" 117 : 251-261, 1995

      3 Donoho, D. L., "Interpolating wavelet transforms" Stanford University 1992

      4 Kang, H., "Improvement in computational efficiency of Euler equations via a modified Sparse Point Representation method" 37 : 265-280, 2008

      5 Kang, H., "Improved computational efficiency of unsteady flow problems via the modified wavelet method" 46 : 1191-1203, 2008

      6 Harten, A., "Adaptive multiresolution schemes for shock computation" 115 : 319-338, 1994

      7 Kim, K., "Accurate, efficient and mono-tonic numerical methods for multi-dimensional compressible flows Part I : Spatial discretization" 208 : 527-569, 2005

      8 조동욱, "3차원 오일러 방정식의 계산 효율성 증대를 위한 Adaptive Wavelet 기법의 적용" 한국전산유체공학회 19 (19): 58-65, 2014

      1 Holmström, M., "Solving hyperbolic PDEs using interpolation wavelets" 21 : 405-420, 1999

      2 Sjögreen, B., "Numerical experiments with the multi-resolution scheme for the compressible Euler equations" 117 : 251-261, 1995

      3 Donoho, D. L., "Interpolating wavelet transforms" Stanford University 1992

      4 Kang, H., "Improvement in computational efficiency of Euler equations via a modified Sparse Point Representation method" 37 : 265-280, 2008

      5 Kang, H., "Improved computational efficiency of unsteady flow problems via the modified wavelet method" 46 : 1191-1203, 2008

      6 Harten, A., "Adaptive multiresolution schemes for shock computation" 115 : 319-338, 1994

      7 Kim, K., "Accurate, efficient and mono-tonic numerical methods for multi-dimensional compressible flows Part I : Spatial discretization" 208 : 527-569, 2005

      8 조동욱, "3차원 오일러 방정식의 계산 효율성 증대를 위한 Adaptive Wavelet 기법의 적용" 한국전산유체공학회 19 (19): 58-65, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-06-16 학술지명변경 외국어명 : Jpurnal of Computatuonal Fluids Engineering -> Korean Society of Computatuonal Fluids Engineering KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.2 0.2 0.19
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.16 0.15 0.405 0.05
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