인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Recently, performance of the ship propulsion is very important due to energy efficiency and greenhouse gas emissions. Therefore, computational Fluid Dynamics (CFD) is frequently used during the design phase to improve performance. Three CFD analyses have to be performed sequentially to calculate the ship's performance: resistance test, propeller open water test, and self-propulsion test. However, due to the limited number of licenses, it takes much time to finish CFD analysis of several ships simultaneously. In this study, we used a constraint satisfaction problem (CSP) to schedule the simulations sequentially and set a cumulative constraint for each simulation to constrain the number of simulations that can be processed simultaneously. The CP-SAT solver was used to minimize the time taken for CFD simulations. The optimized simulation times were then visualized using Gannt charts to easily compare the results of scheduling simulations in vessel number order with the optimization technique. We could see that the analysis time scheduled by the optimization technique was significantly reduced, which resulted in a significant improvement in work efficiency. We also compared the total analysis time to derive the optimal number of licenses.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-091219607