MULTI-STAGE SHAPE OPTIMIZATION FOR MULTI-BODY GEOMETRIES USING KRIGING-BASED MODEL AND ADJOINT METHOD

An efficient and high-fidelity design approach for wing-body configuration is presented. Depending on the nature of the design space and the number of design variables, aerodynamic shape optimization is carried out at each design stage via a selective optimization strategy. In the first stage, global optimization techniques are applied to planform design with a few geometric design variables using Genetic Algorithm based on Kriging-EI method. In the second stage, local optimization technique based on discrete adjoint method is employed for wing surface design with numerous design variables which can maintain a sufficient design space with a high DOF (Degree of Freedom) geometric change. By the use of the proposed optimization method, drag minimization is performed in inviscid and viscous flow conditions and the performance of the multi-stage design strategy are compared with the single stage design approach using the drag decomposition method.본 연구는 교육과학기술부의 재원으로 한국과학재단(No.20090084669), 교육과학기술부의 우주기초원ㅊㄴ기술개발사업(NSL, National Space Lab, 과제번호 20090091724) 및 서울대학교 기계항공공학부 2단계 두뇌한국21사업의 지원에 의해 수행되었음.OAIID:oai:osos.snu.ac.kr:snu2011-01/104/0000004648/29SEQ:29PERF_CD:SNU2011-01EVAL_ITEM_CD:104USER_ID:0000004648ADJUST_YN:NEMP_ID:A001138DEPT_CD:446CITE_RATE:0FILENAME:크리깅_기반_모델과_매개변수법을_이용한_다중물체의_다단계_형상_최적설계.pdfDEPT_NM:기계항공공학부EMAIL:chongam@snu.ac.krCONFIRM: