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UNIPASS™ offers many outstanding capabilities and features,
including:
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4
Problem Types:
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Component
Problem
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Series
System Problem
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Parallel
System Problem
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General
System Problem
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4 Analysis Types:
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Probability
Analysis
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Inverse
Probability Analysis
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CDF/PDF
Analysis
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Design Optimization - Robust Design
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Bayesian
Analysis
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6 PROBABILISTIC ANALYSIS Methods
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First-Order Reliability Methods (FORM)
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Second-Order Reliability Methods (SORM)
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Simulation Methods (SM)
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Importance Sampling Method (ISM)
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Response Surface Methods (RSM)
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Mean Value-based Methods (MVBM)
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11 MPP Identification Methods
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U-based/U-linearized MPPL method
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Modified U-based/U-linearized MPPL
method
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U-based/X-linearized MPPL method
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Modified U-based/X-linearized MPPL
method
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HL-RF method
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Modified HL-RF method
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Improved HL-RF method
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Sequential Quadratic method
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Gradient Projection method
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Modified Gradient Projection method
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Simulation Search method (non-gradient-based
method)
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2 Second-order Reliability Methods
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Curvature-Fitting paraboloid
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Point-Fitting piecewise paraboloid
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3 Simulation Methods
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Monte Carlo Simulation
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Directional Simulation
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Latin Hypercube Simulation
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3 Important Sampling Methods
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Monte Carlo Importance
Sampling
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Sphere-based importance sampling
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Directional importance sampling
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2
Response Surface Methods
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Expansion around the mean point
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Expansion around the user-defined point
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3 Mean-Value-Based Methods
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Mean-value first-order second-moment method (MVFOSM)
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Mean-value method (MV)
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Advanced mean-value method
(AMV)
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Various
Sensitivity Analysis
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Sensitivity
of limit-state function with respect to the random variables at the MPP in both the standard normal space and the original space
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Sensitivity
of failure probability and reliability index with respect to the random
variables
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Sensitivity
of failure probability and reliability index with respect to means and
standard deviations of random variables
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Sensitivity
of failure probability and reliability index with respect to distribution
parameters, which may be correlation coefficients, bounds or other
parameters used to define the distribution
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Dimensionless
sensitivity of failure probability and reliability index with respect to
mean standard deviations of random variables
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By
specifying upper and lower bounds of failure probability
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By
specifying upper and lower bounds of reliability index
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By
specifying upper and lower bounds of limit-state function
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By
specifying individual failure probability values
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By
specifying individual reliability indexes
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By
specifying individual g values
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High-level
precision consistent to 14 decimal points
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Wide
range of CDF values stretching from 2.8 ´
10-55 to 0.9999999999999 (i.e., F[-15.615]
to F[7.385])
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Flexible
input methods (up to 7 methods)
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37
Distribution Types:
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Deterministic |
Beta |
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Chi-square
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Double exponential
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Exponential |
F distribution
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Gamma |
Gumbel
(Type I Largest) |
| Logistic |
Lognormal |
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Maxwell |
Normal |
| Pareto |
Rayleigh
|
|
Student t |
Triangular |
| Truncated
normal |
Type I smallest |
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Type II largest |
Uniform |
| Weibull (Type III Smallest)
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Truncated
Lognormal |
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Truncated Exponential |
Truncated Gamma |
| Truncated
Rayleigh |
Truncated
Gumbel |
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Truncated Type I Smallest |
Truncated Type II Largest |
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Truncated Weibull (Two parameters) |
Truncated Chi square |
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Truncated Maxwell |
Truncated Double Exponential |
| Truncated
Student t |
Truncated F |
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Truncated Logistic |
Truncated Pareto |
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User Provided PDF/CDF Points |
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Scripting type input format
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Limit-state
functions expressed in terms of random variables and random functions
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Operators:
** (or ^), *, /, +, -
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61
supported functions
| ABS(argf) |
ACOS(argf) |
ACOSD(argf) |
ANSYS(arg) |
| ASIN(argf) |
ASIND(argf) |
ATAN(argf) |
ATAND(argf) |
| CDF(argi,
argj) |
CDFIN(argi,
argj) |
CHIS(argfi,
argfj) |
CHISIN(argf,
argf) |
| COS(argf) |
COSD(argf) |
COSH(argf) |
COTAN(argf) |
| COTAND(argf) |
EXP(argf) |
GAMMA(argf) |
EXTERNAL(argi) |
| INT(argf) |
LOG(argf) |
LOG10(argf) |
MAX(argfi,
argfj) |
| MAXA(argfi, argfj) |
MAXAV(argi, argj) |
MAXV(argi, argj) |
MEAN(arg) |
| MIN(argfi,
argfj) |
MINA(argfi,
argfj) |
MINAV(argi,
argj) |
MINV(argi, argj) |
| MOD(argfi, argfj) |
NASTRAN(arg) |
PDF(argi, argj) |
PHI(argf) |
| PHIIN(argf) |
PI( ) |
PROD(argi, argj) |
PRODA(argi, argj) |
| SIN(argf) |
SIND(argf) |
SINH(argf) |
SQRT(argf) |
| STD(arg) |
SUM(argi, argj) |
SUM_M(argi,
argj) |
SUM_SD(argi,
argj) |
| SUMA(argi, argj) |
SUMA_M(argi, argj) |
SUMSQ(argi, argj) |
SUMSQ_M(argi, argj) |
| SUMSQ_SD(argi,
argj) |
SYSTEM(argi,
command) |
TAN(argf) |
TAND(argf) |
| TANH(argf) |
USERC1(arg) |
USERC2(arg) |
USERF1(arg) |
|
USERF2(arg) |
|
|
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Graphic
User Interface (GUI) input window
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Direct
substitution of random variable names and random function names as input
parameters in a NASTRAN bulk data
input file
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Tracking
capability for detecting the effect of a particular random variable. A
feedback control loop designed to minimize the number of NASTRAN
calls
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Probabilistic
Analysis in conjunction with full utilization of MSC/NASTRAN capabilities
Response
type:
Nodal
displacement
Element
stress
Element
strain
Element
force
Response
location:
Specific node or element number
Maximum response value
Minimum response value
Maximum absolute response value
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Interface
with unlimited number of in-house or commercial software for probabilistic
analysis
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Unlimited
number of input files for each external software
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GUI
input window to guide users to input data for the interface
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Direct substitution of random variable names and random function names as
input parameters in the external software’s native input file done by UNIPASS™
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Implemented with easy and minimum
C/FORTRAN coding in a DLL (Dynamic Link Library) format to extract the
desired data and pass it to UNIPASS™
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Tracking
capability for detecting the effect of random variables to minimize the
number of external software calls
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Probabilistic
Analysis in conjunction with full utilization of the external software’s
capabilities
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Interface
with unlimited number of in-house or commercial software for probabilistic
analysis
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Unlimited
number of input files for each external software
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GUI
input window to guide users to input data for the interface
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Direct substitution of random variable names and random function names as
input parameters in the external software’s native input file done by UNIPASS™
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No
programming work
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Multi
key words to identify the desired response from the output of external
software
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Tracking
capability for detecting the effect of random variables to minimize the
number of external software calls
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Probabilistic
Analysis in conjunction with full utilization of the external software’s
capabilities
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Using UNIPASS™ built in function SYSTEM to perform interface with other
external software
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Interface
with unlimited number of in-house or commercial software for probabilistic
analysis
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No GUI
window for the interface
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Direct
substitution of random variable names and random function names as input
parameters in the external software’s native input file done by users
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Programming work by users required for preparing the input file of external
solver, executing the external solver, and extracting desired response from
output file of external solver to UNIPASS™
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Tracking
capability for detecting the effect of random variables to reduce the number
of external software calls
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Probabilistic Analysis in conjunction with full utilization of the external
software’s capabilities
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The
coordinates of linearization points and the associated limit-state function
values
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The
approximated mean and standard deviation of limit-state function evaluated
at linearization points
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MPP,
reliability index, limit-state function value and the vector of directional
cosine for the MPP
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Failure
probability, reliability and generalized reliability index
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Sensitivity
measurements
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Simulation
results
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PDF/CDF
of limit-state function
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