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Smart|DT Capabilities

General Capabilities of Smart|DT

Probability Calculations

  • Single flight probability of failure (Lincoln and Freudenthal)  

  • Percent cracks detected at inspections

Random Variables

  • ai, Kc, EVD, yield strength, ultimate strength, da/dN, hole diameter, hole offset, crack aspect ratio 

Computational Implementation

  • Standard Fortran 95/03/08, Windows, Mac OS and Linux ​

  • HPC Implementation (parallel and vectorized)

Probabilistic Methods

  • ​Standard Monte Carlo (multi-threaded) ​

  • Numerical integration ​

  • Weighted Branch Integration Method ​

  • Adaptive Multiple Importance Sampling

Crack Growth

  • Master curve (ai, Kc and yield strength) interpolation (user input) ​

  • Through, Corner, Surface cracks ​

  • HyperGrow (efficient crack growth analysis) ​

  • Failure due to fracture instability or net section yield

Extreme Value Distribution

  • User input, e.g., Gumbel, Frechet , and Weibull-Max. ​

  • Ultimate/Limit load (deterministic) ​

  • Computed from exceedance curves, weight matrix, etc. (Gumbel, Frechet , and Weibull-Max)​

Inspection Capabilities

  • Any number of inspections ​

  • Arbitrary repair crack size distribution (lognormal, Weibull, deterministic, tabular) ​

  • Arbitrary POD (lognormal, deterministic, tabular) ​

  • User defined probability of inspection ​

  • Different repair scenarios between inspections

Probabilistic Database

  • Material Properties (Kc, da/dN, yield, ultimate) Aluminum, steel, titanium ​

  • Equivalent initial flaw size ​

  • Probability of Detection Curve ​

  • Hole diameter ​

  • Edge distance ​

  • Exceedance curves

Loading Generation

  • Computed from exceedance curves (Internal library and user exceedance option)

  • Weighted usage available. ​

  • Flight Duration and weight matrices, design load limit factors, one-g stress, and ground stress ​

  • Stresses and/or flights randomizations ​

  • Spectrum editing option (Rainflow, rise/fall, Dead band) ​

  • User-defined spectra (Afgrow format)​​​​​​

  • Probability calculations

–Single flight probability of failure (Lincoln and Freudenthal)

​

–Percent cracks detected at inspections

​

  • Probabilistic methods

–Standard Monte Carlo (multi-threaded)

​

–Numerical integration

​

–Weighted Branch Integration Method

​

–Adaptive Multiple Importance Sampling

​

  • Random variables

–ai, Kc, EVD, yield strength, ultimate strength, da/dN, hole diameter, hole offset, crack aspect ratio

​

  • Crack growth

          –Master curve (ai, Kc and yield strength) interpolation (user input)

​

–Through, Corner, Surface cracks

​

–HyperGrow (efficient crack growth analysis)

​

–Failure due to fracture instability or net section yield

​

  • Extreme Value Distribution

–User input, e.g., Gumbel, Frechet , and Weibull-Max.

​

–Ultimate/Limit load (deterministic)

​

–Computed from exceedance curves, weight matrix, etc. (Gumbel, Frechet , and Weibull-Max)​

​

  • Inspection capabilities

–Any number of inspections

​

–Arbitrary repair crack size distribution (lognormal, Weibull, deterministic, tabular)

​

–Arbitrary POD (lognormal, deterministic, tabular)

​

–User defined probability of inspection

​

–Different repair scenarios between inspections

​

  • Probabilistic Database

–Material Properties (Kc, da/dN, yield, ultimate) Aluminum, steel, titanium

​

–Equivalent initial flaw size

​

–Probability of Detection Curve

​

–Hole diameter

​

–Edge distance

​

–Exceedance curves

​

  • Loading Generation

–Computed from exceedance curves (Internal library and user exceedance option) – Weighted usage available.

​

–Flight Duration and weight matrices, design load limit factors, one-g stress, and ground stress

​

–Stresses and/or flights randomizations

​

–Spectrum editing option (Rainflow, rise/fall, Dead band)

​

–User-defined spectra (Afgrow format)​​​​​​

​

  • Computational Implementation

–Standard Fortran 95/03/08, Windows, Mac OS and Linux

​

–HPC Implementation (parallel and vectorized)

​​

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