May 19, 2012
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The Leading Software Solution for Material and Structural Failure Analysis
Quick News & Press Release
GENOA 4.4 Released
NANO Capability Introduced
New PFA Unit Cell
New MCO Unit Cell
Issue #20 - 4/13/2010
Material Characterization & Qualification (MCQ)
Issue #19 - 11/17/2009
Composite Structures & Parametric Robust Design (PRD)
Issue #18 - 7/13/2009
Numerical Approach to Determine Crack Path and Delamination Growth in Composite Structures
Issue #17 - 5/4/2009
Certification-by-Analysis (CBA)
Issue #16 - 10/20/2008
Material Qualification and Certification Determine Allowables by Means of Virtual Simulation Combined With Limited Testing
Issue #15 - 6/10/2008
Predicting Post-Buckling Response and Ultimate Failure of Composite 2-Stringer Panels
Issue #14 - 4/28/2008
Composite Storage Module Joint Analysis and Test Verification
Issue #13 - 2/25/2008
GENOA 4.3 Release with A- and B-Basis Allowables
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Probabilistic Analysis (PA)
 

Probabilistic Analysis (PA)

View Product Datasheet (PDF)

Product Highlights:

·         Permits the simulations of progressive failure in composite structures taking into consideration uncertainties in material properties, loading conditions and service and manufacturing environments.

·         Generates various probabilistic responses and sensitivities based on the user defined perturbed random variables.

·         Can predict the complicated response of composite structures using the following quantities:

o        Cumulative Distribution Function (CDF)

o        Probability Density Function (PDF)

o        Probabilistic sensitivities

o        Random variables most probable design vectors

·         Requires the identification of variables and definition corresponding mean values, standard deviation, and distribution types. The distribution types supported by GENOA-PA include:

o        Normal

o        Lognormal

o        Weibull

·         Can facilitate the assessment of the reliability of advanced materials and structures for a variety of applications including automotive and aerospace.

Applications/Benefits:

·         Evaluates the reliability of aerospace and automotive composite parts and structures.

·         Enhances the design of composite structures.

·         Helps in rationalizing between two competing designs based on failure probability.

·         Treats non-statistical uncertainty as a random variable.

·         Reliably predicts failure in increased risk composite structures (e.g., pressure vessels).

·         Reduces experimental testing by eliminating non-influential design variables.


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