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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Material Uncertainty Analysis (MUA)

Material Uncertainty Analysis (MUA)

View Product Datasheet (PDF)

Product Highlights:

         Combines composite micro-mechanics and probabilistic analysis to determine the reliability of a composite material/structure based on the scatter of fundamental primitive variables. These variables include various material constituent parameters (e.g., fiber and matrix stiffness and strength) and manufacturing parameters (e.g., fiber volume fraction, void content, and fiber architecture and ply thickness).

         Determines the structural response sensitivity to constituent material properties and other design variables including fiber architecture, manufacturing tolerances and defect content.

         Calculates the Cumulative Distribution Function (CDF) and Probability Density Function (PDF) of the response and primitive variables over the entire failure probability.


         Probabilistic design of composite materials for aerospace and automotive industries.

         Calculation of lamina and laminate allowables and design variables based on given/simulated test data scatter.

         Effective estimation of the influence of constituent properties and manufacturing variables on the response of a composite material/structure.

         Efficient determination of critical design variables prior to test program start.

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