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    <title>Shay Capehart on Test Science Research Document Library</title>
    <link>https://research.testscience.org/researchers/shay-capehart/</link>
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      <title>Examining Improved Experimental Designs for Wind Tunnel Testing Using Monte Carlo Sampling Methods</title>
      <link>https://research.testscience.org/post/2010-examining-improved-experimental-designs-for-wind-tunnel-testing-using-monte-carlo-sampling-methods/</link>
      <pubDate>Fri, 01 Jan 2010 00:00:00 +0000</pubDate>
      <guid>https://research.testscience.org/post/2010-examining-improved-experimental-designs-for-wind-tunnel-testing-using-monte-carlo-sampling-methods/</guid>
      <description>In this paper we compare data from a fairly large legacy wind tunnel test campaign to smaller, statistically-motivated experimental design strategies. The comparison, using Monte Carlo sampling methodology, suggests a tremendous opportunity to reduce wind tunnel test efforts without losing test information.
Suggested Citation Hill, Raymond R., Derek A. Leggio, Shay R. Capehart, and August G. Roesener. “Examining Improved Experimental Designs for Wind Tunnel Testing Using Monte Carlo Sampling Methods.” Quality and Reliability Engineering International 27, no.</description>
      <content:encoded><![CDATA[<p>In this paper we compare data from a fairly large legacy wind tunnel test campaign to smaller, statistically-motivated experimental design strategies. The comparison, using Monte Carlo sampling methodology, suggests a tremendous opportunity to reduce wind tunnel test efforts without losing test information.</p>
<h4 id="suggested-citation">Suggested Citation</h4>
<blockquote>
<p>Hill, Raymond R., Derek A. Leggio, Shay R. Capehart, and August G. Roesener. “Examining Improved Experimental Designs for Wind Tunnel Testing Using Monte Carlo Sampling Methods.” Quality and Reliability Engineering International 27, no. 6 (October 2011): 795–803. <a href="https://doi.org/10.1002/qre.1165">https://doi.org/10.1002/qre.1165</a>.</p>
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<h4 id="paper">Paper:</h4>
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