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Chiemela Victor Amaechi, Cole Chesterton, Harrison Obed Butler, Zewen Gu, Agbomerie Charles Odijie, Facheng Wang, Xiaonan Hou and Jianqiao Ye
Currently, the properties of composites have been harnessed on pipelines in the marine offshore industry. In this study, marine bonded composite hose (MBCH) is presented. It is aimed at understanding the stress/strain distribution on marine bonded hoses ...
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Michael Lo, Suria Devi Vijaya Kumar, Saravanan Karuppanan and Mark Ovinis
Numerical methods such as finite element analysis (FEA) can accurately predict remaining strength, with strong correlation with actual burst tests. However, parametric studies with FEA are time and computationally intensive. Alternatively, an artificial ...
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Takuto Ogawa, Kengo Asada, Satoshi Sekimoto, Tomoaki Tatsukawa and Kozo Fujii
A computational study was conducted on flows over an NACA0015 airfoil with dielectric barrier discharge (DBD) plasma. The separated flows were controlled by a DBD plasma actuator installed at the 5% chord position from the leading edge, where operated AC...
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Michael Lo, Saravanan Karuppanan and Mark Ovinis
Machine learning tools are increasingly adopted in various industries because of their excellent predictive capability, with high precision and high accuracy. In this work, analytical equations to predict the failure pressure of a corroded pipeline with ...
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Ji-Sun Kang, Hunjoo Myung and Jin-Hee Yuk
To predict extreme weather events, we conducted high-resolution global atmosphere modeling and simulation using high-performance computing. Using a new-generation global weather/climate prediction model called MPAS (Model for Prediction Across Scales) wi...
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