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Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady State

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Bio-Inspired Computing: Theories and Applications (BIC-TA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1801))

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Abstract

The seabirds have always been observed following the ships while sailing in a static condition. Despite the biological reason, there should be some physical profits for these following activities. This paper is trying to start an initial study of a seabird following a ship by Computational Fluid Dynamics (CFD) simulations on steady states. We have chosen a standard frigate simplified 2 (SFS2) standard computation model as simulation ship, while a classic seagull wing to simulate a seabird. The paper has inspected the accuracy of CFD with typical wind tunnel tests’ and CFD simulation examples’ results such as 7.62 m/sec in wind over deck (WOD) 0° and 10°. While the tests of wind tunnel had executed in the scale of 1:120, so the inspection geometric model is generated in the same scale. The results of inspection CFD are fitting well with the typical wind tunnel tests’ and CFD simulation examples’ results. Meanwhile a full scale SFS2’s geometric model and a seabird wing’s geometric model have been generated. A series of airflow simulations have been carried out then in steady states. Initial study of these simulations shows that in 0° WOD, the drag of the seabird’s wing was reduced while following after the ship, compared with which situation that the ship was not followed by the seabird’s wing. This paper has just started few typical studies of this interesting behaves of the seabirds, the following studies and simulations are being considered.

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Correspondence to Guangwu Liu .

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Lu, C., Liu, G., Zhang, W., Wang, J. (2023). Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady State. In: Pan, L., Zhao, D., Li, L., Lin, J. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2022. Communications in Computer and Information Science, vol 1801. Springer, Singapore. https://doi.org/10.1007/978-981-99-1549-1_47

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  • DOI: https://doi.org/10.1007/978-981-99-1549-1_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1548-4

  • Online ISBN: 978-981-99-1549-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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