Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="218710.fig.004a" src="https://static.hindawi.com/articles/ijae/volume-2014/218710/figures/218710.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Transitional-open cavity flow</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="218710.fig.004b" src="https://static.hindawi.com/articles/ijae/volume-2014/218710/figures/218710.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Transitional-closed cavity flow</td></tr></table></td></tr></table>

<table>Transitional cavity flows [<a href="/journals/ijae/2014/218710/#B1">1</a>].</table>

International Journal of Aerospace Engineering

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Figure 4

Figure 4: Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements 