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      • Fluid-Structure Interaction Simulation of Blast Loading

        Tei. Saburi,Shiro Kubota,Yuji Ogata 한국전산유체공학회 2010 한국전산유체공학회 학술대회논문집 Vol.2010 No.11

        This paper presents the development of Fluid-Structure Interaction (FSI) coupling code for solving dynamic behavior of structure under blast loading. We have been developed a Semi-Lagrangian CFD code of MARS for solving initiation and detonation phenomena of explosives. In MARS, it is not functional to analyze dynamic structural behavior. A coupling of MARS with Computational Structure Dynamics (CSD) code is sure and steacy way to acquire the capability of the fluid-structure interaction analysis. An explicit Finite-Element Method (FEM) structure solver DYNA3D 2000 is suitable to couple structure solving capability with MARS, so a FSI coupling code for MARS fluid solver and DYNA3D 2000 structure solver was developed. The developed FSI code was adapted to the test problem of dynamic response of the steel pipe under internal blast loading. Air and explosive was modeled using ideal gas EOS and the structure was modeled using Johnson-Cook strength model and Mie-Gruneisen EOS. Explosive has density of 1400 kg/m3 and energy of 5.32 MJ/kg, and other numerical parameters for calculation used typical value. Strain change and radial displacement of circumference were evaluated, and FSI code was validated comparing the numerical results with experimental results.

      • A New Estimation Method by Utilizing On-Line Tracking Simulator

        Makoto Nakaya,Akio Nakabayashi,Tetsuya Ohtani,Yoshihiro Ikegaya,Satoshi Asawa,Nobuhiko Terashima,Yuji Izawa,Marina Gravina Ogata 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

        In the chemical process, it is hard to describe the polymer property by a rigorous model based on the physical and chemical theory. The soft sensor with the statistical data processing is often used for modeling to monitor and to control the polymer quality. We confirmed regarding the estimation accuracy that using data from the on-line tracking simulator is better than using data from the conventional use of the soft sensor. The on-line tracking simulatorperfectly simulates the target and provides the virtual input data which can not be measured by the soft sensor on the real time. We propose the application of the rigorous and the statistical model to the plant operation.

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