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SUS304L 겹침 용접부에 대한 극저온에서의 인장 및 피로강도에 관한 실험적 연구
김경수(KYUNG-SU KIM),부승환(SEUNG-HWAN BOO),박창열(CHANG-YOUL PARK),조영근(YOUNG-GUN CHO),이정수(JEUNG-SOO LEE) 한국해양공학회 2008 韓國海洋工學會誌 Vol.22 No.3
As LNG tank is operated around -162 ℃ an experimental approach all the cryogenic temperature tensile and fatigue strengths of SUS304L lap joint weld is very important at the design stage of membrane type LNG tank. In this study, in order to estimate the tensile and fatigue strengths of SUS304L lap joint weld at cryogenic temperature condition, tensile and fatigue tests were conducted. Also, S-N curves are presented with statistical testing method recommended by JSME. As a result of the experimental approach, the design fatigue of fatigue strength is proposed and that is expected to be useful for membrane type LNG tank design.
D-최적 실험 설계 기반 최적 센서 배치 및 모델 확장 기법을 이용한 하중 추정
변성주(Seong-Ju Byun),이승재(Seung-Jae Lee),부승환(Seung-Hwan Boo) 대한조선학회 2024 大韓造船學會 論文集 Vol.61 No.2
To detect and prevent structural damage caused by various loads on marine structures and ships, structural health monitoring procedure is essential. Estimating loads acting on the structures which are measured by sensors that are mounted properly are crucial for structural health monitoring. However, attaching an excessive number of sensors to the structure without consideration can be inefficient due to the high costs involved and the potential for inducing structural instability. In this study, we introduce a method to determine the optimal number of sensors and their optimized locations for strain measurement sensors, allowing for accurate load estimation throughout the structure using model expansion method. To estimate the loads exerted on the entire structure with minimal sensors, we construct a strain-load interpolation matrix using the strain mode shapes of the finite element (FE) model and select the optimal sensor locations by applying D-Optimal Design and the row exchange algorithm. Finally, we estimate the loads exerted on the entire structure using the model expansion method. To validate the proposed method, we compare the results obtained by applying the optimal sensor placement and model expansion method to an FE model subjected to arbitrary loads with the loads exerted on the entire FE model, demonstrating efficiency and accuracy.