2017
DOI: 10.1016/j.oceaneng.2017.05.011
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Numerical investigation of fish exploiting vortices based on the Kármán gaiting model

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Cited by 31 publications
(14 citation statements)
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“…It can be seen from Figure 9 that the simulation at the 200 MW load condition tends to be stable after 0.12 s, and the dominate frequency of the dynamic pressure is 139.72 Hz. The second method is based on the following empirical equation, which is commonly used to estimate the vortex shedding frequency in practical operation [34].…”
Section: Cfd Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…It can be seen from Figure 9 that the simulation at the 200 MW load condition tends to be stable after 0.12 s, and the dominate frequency of the dynamic pressure is 139.72 Hz. The second method is based on the following empirical equation, which is commonly used to estimate the vortex shedding frequency in practical operation [34].…”
Section: Cfd Simulationsmentioning
confidence: 99%
“…The comparison results are shown in Table 4. It can be found that the SST model was not able to The second method is based on the following empirical equation, which is commonly used to estimate the vortex shedding frequency in practical operation [34].…”
Section: Cfd Simulationsmentioning
confidence: 99%
“…Understanding the energy‐saving strategy of fish in unsteady flow is important, with many potential applications across the fields of fisheries science, ecology and fluid dynamics (Duguay et al, 2018; Hockley, Wilson, Brew, & Cable, 2014; Li et al, 2017). Here, we have demonstrated that a combination of obstacles and flow velocity may be beneficial for fish swimming in unstable flow.…”
Section: Discussionmentioning
confidence: 99%
“…OpenFOAM is a free, open source platform that not only provides us with a rich set of application solvers but also allows users to write custom solvers for specific applications based on their original solvers. It is often used to study the fluid dynamics of polymer solutions [ 35 , 36 ]. OpenFOAM is written in C++ and provides user interfaces that can describe partial differential equations in a natural language-like way, which makes it easy to extend the theoretical models of existing solvers.…”
Section: Bcfsolver Implementationmentioning
confidence: 99%