Uncertainty

Now in Uncertainty

Demystifying Uncertainty Quantification

As scientists and engineers probe ever deeper into the fundamental mysteries of physics, uncertainty in its many forms looms as a major challenge sound simulations and analyses. Uncertainty quantification and its computer-science cousin verification and validation, emerging sciences in themselves, offer sound methods and solutions.

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Knowledgebase

An Uncertain <br />Something

An Uncertain Something

The field of uncertainty analysis helps engineers answer the seemingly unanswerable: How much do we know about what we don't know? Using high level statistics and probability, the discipline can tell us just how likely it is that any given measurement is accurate. It can also tell us just how often to calibrate to guarantee accuracy. Today's computers allow businesses to avoid recall while also saving money.

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Knowledgebase

Avoiding Flutter: Analyzing Uncertainty Methods

Avoiding Flutter: Analyzing Uncertainty Methods

Traditional methods of analyzing uncertainty are becoming too expensive and computer intensive to perform in some complex modeling applications, even with high speed computing power available today. To reduce computing time, methods not traditionally applied to uncertainty analysis were compared on reduced order models to solve an aircraft flutter problem.

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Groups

Applied Mechanics Division (AMD)

The division strives to foster the intelligent use of mechanics by engineers and to develop this science to serve the needs of the engineering community. One sub-committee Uncertainty, Probabilistics and Reliability Technical Committee focuses in this topic area.

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ASME Design Engineering Division (DED)

ASME Safety Engineering and Risk Analysis Division (SERAD)

Risk Analysis and Management for Critical Asset Protection Standards Committee

Uncertainty deals with estimating the amount of uncertainty in physical measurements and computer simulations such as finite element analysis. Uncertainty stems from errors in instruments and methods as well as coincident factors not well accounted for. Uncertainty analysis also addresses the level of confidence that can be placed in estimates fed into an analysis, and its results. Closely related disciplines are verification and validation, design of experiments, and sensitivity analyses.