
Smart|DT Capabilities
General Capabilities of Smart|DT
Probability Calculations
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Single flight probability of failure (Lincoln and Freudenthal)
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Percent cracks detected at inspections
Random Variables
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ai, Kc, EVD, yield strength, ultimate strength, da/dN, hole diameter, hole offset, crack aspect ratio
Computational Implementation
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Standard Fortran 95/03/08, Windows, Mac OS and Linux
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HPC Implementation (parallel and vectorized)
Probabilistic Methods
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Standard Monte Carlo (multi-threaded)
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Numerical integration
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Weighted Branch Integration Method
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Adaptive Multiple Importance Sampling
Crack Growth
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Master curve (ai, Kc and yield strength) interpolation (user input)
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Through, Corner, Surface cracks
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HyperGrow (efficient crack growth analysis)
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Failure due to fracture instability or net section yield
Extreme Value Distribution
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User input, e.g., Gumbel, Frechet , and Weibull-Max.
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Ultimate/Limit load (deterministic)
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Computed from exceedance curves, weight matrix, etc. (Gumbel, Frechet , and Weibull-Max)
Inspection Capabilities
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Any number of inspections
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Arbitrary repair crack size distribution (lognormal, Weibull, deterministic, tabular)
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Arbitrary POD (lognormal, deterministic, tabular)
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User defined probability of inspection
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Different repair scenarios between inspections
Probabilistic Database
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Material Properties (Kc, da/dN, yield, ultimate) Aluminum, steel, titanium
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Equivalent initial flaw size
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Probability of Detection Curve
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Hole diameter
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Edge distance
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Exceedance curves
Loading Generation
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Computed from exceedance curves (Internal library and user exceedance option)
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Weighted usage available.
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Flight Duration and weight matrices, design load limit factors, one-g stress, and ground stress
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Stresses and/or flights randomizations
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Spectrum editing option (Rainflow, rise/fall, Dead band)
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User-defined spectra (Afgrow format)
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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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