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 Modeling Analysis
 

Comprehensive Material Analysis for the Materials Engineer

GENOA consists of dedicated modules to provide complete analysis for your material properties. Some key features are:
  • Non-FEM with only Material Properties Setup
  • Material Characterization
  • Unit Cell Material Representation.
  • Faster processing and solutions
Using GENOA's exclusive new PFA Unit Cell technology, engineers will find an easier interface and a faster solution to their engineering problems. Some of these dedicated material modules are:

Material Characterization & Qualification (MCQ)

Designed to help reverse engineer effective fiber and matrix strength and stiffness properties for tape, weaves and braided material and is limited to un-notched uniform stress coupons subjected to in-plane loading.
Features integration of modules and capabilities:
  • Fiber, Matrix, and Lamina Calibration - reverse engineer effective fiber/matrix properties from unidirectional test data (strength and stiffness) and fiber and void volume ratios
  • Non-Linear Material Characterization Optimization (MCO) - reverse engineers effective stress strain curve for matrix from in-plane shear laminate test data (e.g., ASTM 3518), or ply from laminate test data.
  • Ply Level Analysis - Predicts equivalent ply properties using fiber matrix properties as input
  • Laminate Analysis - predicts equivalent laminate properties using fiber/matrix or ply properties as input
  • Design Failure Envelope - predicts failure design envelop for chosen failure criteria for laminates
  • Ply Characterization - shows variation in strength with ply orientation and fiber or void volume ratio
  • A- & B- Basis Allowables - predicts A- and B-Basis allowables for un-notched uniform stressed coupons using limited test data or no test data and previously calibrated fiber/matrix properties as input
  • Parametric Carpet Plot - generates multiple carpet plots that show variation in strength, stiffness and other material properties with variation in mixed layups distribution.

Applications/Benefits:
  • Characterize Material and layup for certification.
  • Does not require any Finite Element solvers, thus extremely fast.
  • Prediction of lamina and/or laminate properties in virtually all types of composite architectures (2D/3D).
  • Material calibration based on experimental data.
  • Prediction of ply and laminate strength and stiffness.



Progressive Failure Damage Unit Cell (PFA Unit Cell)

Calculates lamina (ply) and laminate composite properties of metal, polymer (braid, weave, and stitched 2D/3D) and ceramic matrix composites. Predicts the following ply/laminate properties:
  • Modulus, Poisson's Ratio
  • Ply and Laminate Strength
  • Thermal Expansion Coefficient
  • Moisture Expansion Coefficient
  • Heat Conductivity & Capacity
  • Laminate Heat Conductivity
  • Laminate Strain
  • Laminate Moisture Diffusivities
  • Electrical Conductivity
  • Dielectric Constant and Strength
  • State of stress in a composite ply caused by external loading accounting for environmental effects (temperature, moisture), manufacturing defects (voids, residual stress-strain fields) and interaction of various factors, such as temperature, moisture, creep, etc., on the composite properties.
Micro stresses in fibers and matrix caused by external loading. Progressive damage prediction of the laminate. Applications/Benefits:
  • Prediction of lamina and/or laminate properties in virtually all types of composite architectures, including short fiber applications.
  • Material calibration based on experimental data.
  • Prediction of ply and laminate strength and stiffness.
  • Accounts for manufacturing defects and environmental effects.
  • Simulation of material processing.

A- & B-Basis Allowables Unit Cell

GENOA A- and B-Basis allowables module predicts strength allowables for polymer matrix composites obtained from standard ASTM tests. Utilizing PFA Unit Cell technology enables faster processing and results that average only a few minutes of analysis.
Option 1 - User Supplied Test Data: This approach combines test data with statistical methods, as specified in MIL HDBK 17E (Military Handbook for Polymer Matrix Composites) and FAA CFR 14. With user test data, the allowables are calculated using the referenced standard procedures. Additionally, the data is fitted and plotted.
Option 2 - Limited Test Data: This approach combines progressive failure analysis with probabilistic methods and composite mechanics to determine allowables.
  • The A-and-B Basis values are determined at the 1% and 10% probabilities and are first calculated from the limited test data.
  • Coefficients of variation and distribution are then assigned to manufacturing and material property random variables (works with fiber/resin or lamina properties). GENOA PFA Unit Cell is then used to determine the ASTM material failure stresses.
  • GENOA generated strength cumulative distribution (CDF) and probability density (PDF) functions are compared to CDF's and PDF's from user's test database.
  • Matching the scatter between test and simulation provides an effective tool to reduce the number of actual coupon tests.


Material Characterization Optimization Unit Cell (MCO Unit Cell)

Introducing a faster optimization module to calibrate your material properties against any test curve. MCO Unit Cell calibrates the Stress-Strain curve of any material against a test curve point-by-point therefore providing a smoother and more accurate matching to your test curve data. Some additional key features are:
  • Linear and Non-Linear curve data
  • Stress Strain Curve calibration
  • Stress Cycle Curve calibration
Unit Cell technology enables much faster processing time compared to FEM based optimization. Test curves consisting of 10 points or less may require only a few minutes for complete calibration analysis.

Material Uncertainty Analysis (MUA)

GENOA MUA 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, fiber architecture and ply thickness).

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

It also 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.



Fracture Toughness Determination (FTD) & Fatigue Crack Growth (FCG)

GENOA FTD computes fracture toughness based on the extended Griffith energy balance theory while saving time and money for sophisticated fracture testing by eliminating high standard specimen preparation, complex test procedures and data processing.

It requires stress/strain curves for tensile specimens as input. The curves can be obtained from experiments, handbooks or other available sources.

GENOA FCG computes da/dN vs. Delta K curves while requiring fracture toughness as input. The fracture toughness can be obtained from experiments, handbooks, publications, or FTD.

  • Predicts the fatigue life and performance of metallic structures (aluminum, titanium or steel) with minimal experimental testing
  • Can be effectively used to predict the fatigue life and performance of metallic structures (aluminum, titanium or steel) with minimal requirements of experimental testing.

Probabilistic Analysis

GENOA Probabilistic Analysis permits the simulations of progressive failure in composite structures taking into consideration uncertainties in material properties, loading conditions service and manufacturing environments. It generates various probabilistic responses and sensitivities based on the user defined perturbed random variables. It can predict the complicated response of composite structures using the following quantities:
  • Cumulative Distribution Function (CDF)
  • Probability Density Function (PDF)
  • Probabilistic sensitivities
  • Random variables most probable design vectors
It also uses the identification of variables and definition corresponding mean values, standard deviation, and distribution types. The distribution types supported by GENOA-PA include: Normal, Lognormal, Weibull, Truncated Normal, Chisquare, Frechet, Max Entropy, Curve Fit, and Extreme Value

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