June 24, 2017
Welcome to ASCGENOA.com
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 #22 - 7/16/2013
Structural Health Monitoring Test Validation
Issue #21 - 1/16/2013
Managing Defects & End of Life Prediction / Validation in Composite Wind Turbine Blades
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.


         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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