English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Jellyfish have been called one of the most energy-efficient animals in theworld due to the ease in which they move through their fluid environment, byproduct of their morphological, muscular, and material properties. Weinvestigated jellyfish locomotion by conducting \textit{in silico} comparativestudies and explored swimming performance across different fluid scales (e.g.,Reynolds Number), bell contraction frequencies, and contraction phasekinematics for a jellyfish with a fineness ratio of 1 (ratio of bell height tobell diameter). To study these relationships, an open source implementation ofthe immersed boundary method was used (\textit{IB2d}) to solve the fullycoupled fluid-structure interaction problem of a flexible jellyfish bell in aviscous fluid. Thorough 2D parameter subspace explorations illustrated optimalparameter combinations in which give rise to enhanced swimming performance. Allperformance metrics indicated a higher sensitivity to bell actuation frequencythan fluid scale or contraction phase kinematics, via Sobol sensitivityanalysis, on a high performance parameter subspace. Moreover, Pareto-likefronts were identified in the overall performance space involving the cost oftransport and forward swimming speed. Patterns emerged within these performancespaces when highlighting different parameter regions, which complemented theglobal sensitivity results. Lastly, an open source computational model forjellyfish locomotion is offered to the science community that can be used as astarting place for future numerical experimentation.

Don't be jelly: Exploring effective jellyfish locomotion