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	<title>rare events &#8211; BIOENGINEER.ORG</title>
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		<title>Smart Algorithm Slashes the Cost of Predicting When Structures Fail</title>
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		<pubDate>Thu, 15 Oct 2026 11:03:49 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[active learning]]></category>
		<category><![CDATA[AK-FOCM]]></category>
		<category><![CDATA[Computational efficiency]]></category>
		<category><![CDATA[control variates]]></category>
		<category><![CDATA[failure probability]]></category>
		<category><![CDATA[finite element analysis]]></category>
		<category><![CDATA[Form]]></category>
		<category><![CDATA[Kriging]]></category>
		<category><![CDATA[Monte Carlo Simulation]]></category>
		<category><![CDATA[rare events]]></category>
		<category><![CDATA[structural reliability]]></category>
		<category><![CDATA[surrogate modeling]]></category>
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					<description><![CDATA[A new hybrid reliability method called AK-FOCM combines active learning Kriging with first order control variates to estimate rare failure probabilities with far fewer expensive model evaluations.]]></description>
		
		
		
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