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      KCI등재

      MRA와 POD를 적용한 공력특성 최적설계

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      https://www.riss.kr/link?id=A103297355

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      다국어 초록 (Multilingual Abstract)

      This paper attempts to evaluate the accuracy and efficiency of a design optimization procedure by combining wavelets-based multi resolution analysis method and proper orthogonal decomposition (POD) technique. Aerodynamic design procedure calls for hig...

      This paper attempts to evaluate the accuracy and efficiency of a design optimization procedure by combining wavelets-based multi resolution analysis method and proper orthogonal decomposition (POD) technique. Aerodynamic design procedure calls for high fidelity computational fluid dynamic (CFD) simulations and the consideration of large number of flow conditions and design constraints. Thus, even with significant computing power advancement, current level of integrated design process requires substantial computing time and resources. POD reduces the degree of freedom of full system by conducting singular value decomposition for various field simulations. In this research, POD combined Design Optimization model is proposed and its efficiency and accuracy are to be evaluated. For additional efficiency improvement of the procedure, multi resolution analysis method is also being employed during snapshot constructions (POD training period). The proposed design procedure was applied to the optimization of wing aerodynamic performance. Throughout the research, it was confirmed that the POD/MRA design procedure could significantly reduce the total design turnaround time and also capture all detailed complex flow features as in full order analysis.

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      참고문헌 (Reference)

      1 Harten, A., "Uniformly high order accurate essentially non-oscillatory schemes" 71 : 239-303, 1988

      2 Holmes, P., "Turbulence, Coherent Structures" Cambridge University Press 1996

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

      4 Chiavassa, G., "Shock vortex interactions at high mach numbers" 19 : 347-371, 2003

      5 Myers, R. H., "Response Surface Methodology Process and Product Optimization Using Designed Experiments 705" John Wiley & Sons 1995

      6 Park, K. H., "Reduced-order model with an artificial neural network for aerostructural design optimization" 50 (50): 1106-1116, 2013

      7 Lucia, D. J., "Reduced-Order Modeling : New Approaches for Computational Physics" 40 (40): 51-117, 2004

      8 전상욱, "Reduced order model of three-dimensional Euler equations using proper orthogonal decomposition basis" 대한기계학회 24 (24): 601-608, 2010

      9 Lucia, D. J., "Reduced Order Modelling for High Speed Flows With Moving Shocks" Air Force Inst. of Technology School of Engineering and Management 2001

      10 Ball, D., "Recent Applications of CFD to the Design of Boeing Commercial Transports" 2009

      1 Harten, A., "Uniformly high order accurate essentially non-oscillatory schemes" 71 : 239-303, 1988

      2 Holmes, P., "Turbulence, Coherent Structures" Cambridge University Press 1996

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

      4 Chiavassa, G., "Shock vortex interactions at high mach numbers" 19 : 347-371, 2003

      5 Myers, R. H., "Response Surface Methodology Process and Product Optimization Using Designed Experiments 705" John Wiley & Sons 1995

      6 Park, K. H., "Reduced-order model with an artificial neural network for aerostructural design optimization" 50 (50): 1106-1116, 2013

      7 Lucia, D. J., "Reduced-Order Modeling : New Approaches for Computational Physics" 40 (40): 51-117, 2004

      8 전상욱, "Reduced order model of three-dimensional Euler equations using proper orthogonal decomposition basis" 대한기계학회 24 (24): 601-608, 2010

      9 Lucia, D. J., "Reduced Order Modelling for High Speed Flows With Moving Shocks" Air Force Inst. of Technology School of Engineering and Management 2001

      10 Ball, D., "Recent Applications of CFD to the Design of Boeing Commercial Transports" 2009

      11 Schmitt, V., "Pressure distributions on the ONERA-M6-Wing at transonic Mach numbers" 4 : 1979

      12 Chiavassa, G., "Point-value multiscale algorithms for 2D compressible flows" 23 : 805-823, 2001

      13 Hedayat, A. S., "Orthogonal arrays : theory and applications" Springer Science & Business Media 1999

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

      15 Bihari, B. L., "Multiresolution schemes for the numerical solution of 2-D conservation laws I" 18 (18): 315-354, 1997

      16 Kang, H., "Multi resolution analysis for high accuracy and efficiency of Euler computation" 74 (74): 661-683, 2014

      17 Berger, M. J., "Local adaptive mesh refinement for shock hydrodynamics" 82 : 64-84, 1988

      18 Berger, M. J., "Local adaptive mesh refinement for shock hydrodynamics" 82 : 64-84, 1988

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

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

      21 Muller S, Stiriba Y., "Fully adaptive multiscale schemes for conservation laws employing locally varying time stepping" 30 : 493-531, 2007

      22 Cohen, A., "Fully adaptive multiresolution finite volume schemes for conservation laws" 72 : 183-2250, 2003

      23 Hong, K. J., "Efficient approximation method for constructing quadratic response surface model" 15 (15): 876-888, 2001

      24 Kim, T., "Efficient Reduced-Order System Identification for Linear Systems with Multiple Inputs" 43 (43): 1455-1464, 2005

      25 Lee, Y., "An efficient robust optimal design method for engineering systems with numerical noise" 2004

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

      27 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
      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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