June 24, 2017
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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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PFA Fatigue Random

Fatigue - Random Fatigue (Spectrum Loading) (PFA_FATIGUE_RANDOM)

View Product Datasheet (PDF)

Product Highlights:

         Determines the fatigue life of composite or metal structures subject to a sequence of external cyclic excitations with variable amplitude and period.

         Capable of detecting a crack at the micro level, i.e., initiation site, and following its development under the applied cyclic loading.

         Rainflow analysis is used to reduce the complex loading to a series of simple cyclic loadings.

         For each stress level, the degree of cumulative damage incurred is calculated from the S-N curve, and the individual contributions are combined using Miner's rule.

         An efficient multi-factor interaction model (MFIM) can be used to account for a broad range of factors that affect the fatigue life of a structure such as temperature and surface finish.

         Can be used with GENOA-PA to account for the probabilistic nature of fatigue.

         The S-N curves for constituent materials, which are derived from tests or found in the open literature, are required for the analysis.


         Accurately evaluates the service life of composite or metal structures subject to complicated random cyclic loads.

         Predicts the fatigue failure initiation site and its development in aerospace, automotive and other composite structures.

         Accounts for the probabilistic nature of fatigue.

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