Probabilistic Analysis (PA)
Product Highlights:
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Permits the simulations of progressive failure in composite
structures taking into consideration uncertainties in material properties,
loading conditions and service and manufacturing environments.
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Generates various probabilistic responses and sensitivities based
on the user defined perturbed random variables.
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Can predict the complicated response of composite structures
using the following quantities:
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Cumulative Distribution Function (CDF)
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Probability Density Function (PDF)
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Probabilistic sensitivities
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Random variables most probable design vectors
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Requires the identification of variables and definition
corresponding mean values, standard deviation, and distribution types. The
distribution types supported by GENOA-PA include:
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Normal
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Lognormal
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Weibull
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Can facilitate the assessment of the reliability of advanced
materials and structures for a variety of applications including automotive and
aerospace.
Applications/Benefits:
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Evaluates the reliability of aerospace and automotive composite
parts and structures.
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Enhances the design of composite structures.
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Helps in rationalizing between two competing designs based on
failure probability.
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Treats non-statistical uncertainty as a random variable.
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Reliably predicts failure in
increased risk composite structures (e.g., pressure vessels).
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Reduces experimental testing by eliminating non-influential
design variables.
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