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

Flow over bluff bodies has multiple engineering applications and thus, hasbeen studied for decades. The lift and drag coefficients are practicallyimportant in the design of many components such as automobiles, aircrafts,buildings etc. These coefficients vary significantly with Reynolds number andgeometric parameters of the bluff body. In this study, we have analyzed thesensitivity of lift and drag coefficients on single and tandem ellipticcylinders to cylinder aspect ratios, angles of attack, cylinder separation, andflow Reynolds number. Sensitivity analysis with Monte-Carlo algorithm requiresseveral function evaluations, which is infeasible with high-fidelitycomputational simulations. We have therefore trained multilayer perceptronneural networks (MLPNN) using computational fluid dynamics data to estimate thelift and drag coefficients efficiently. Line plots of the variations in liftand drag as functions of the governing parameters are also presented. Thepresent approach is applicable to study of various other bluff bodyconfigurations.

Sensitivity Analysis of Lift and Drag Coefficients for Flow over  Elliptical Cylinders of Arbitrary Aspect Ratio and Angle of Attack using  Neural Network