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LMS TecWare
Advanced Fatigue
Life Prediction
LMS TecWare
Advanced Fatigue
Life Prediction
extends LMS TecWare
with more advanced
approaches for
fatigue life
prediction. It
allows you to
evaluate the impact
of proportional and
non-proportional
constant and
variable amplitude
cycles on the
components fatigue
performance.
LMS TecWare’s
efficient data
import, load data
cleaning and
validation tools
combined with
dedicated strain
gauge rosette
analysis tools
efficiently prepare
the data for
experimental fatigue
life prediction.
The pseudo-damage
model (basic
stress-life approach
with Woehler life
curve and Miner’s
elementary
accumulation rule)
as included in LMS
TecWare Load Data
Processing is
typically used for
relative assessment
of dynamic loading
scenarios. LMS
TecWare Advanced
Fatigue Life
Prediction extends
this stress-life
based approach with
different
mean-stress
correction models,
surface correction
and notch factors
resulting in an
accurate fatigue
life estimate for
high-cycle fatigue.
It also includes the
strain-life approach
which takes into
account local
plasticity effects
for evaluation of
low-cycle fatigue.
Both stress-life and
strain-life make use
of the LMS FALANCS
solver – also used
by LMS Virtual.Lab
Durability. As such,
the correlation of
results between Test
and CAE is
facilitated, thus
improving the
accuracy of both
processes and
providing a basis
for improved
integration.
LMS TecWare Advanced
Fatigue Life
Prediction enables
you to conduct a
wide range of design
sensitivity studies
such as the
variability of
loading, materials,
surface conditions
and local geometry –
and as such optimize
your components’
fatigue performance.
Through the LMS
TecWare Batch based
templates you can
automate repetitive
tasks and generate
summary MS Word or
html based reports.
Features &
Benefits
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Stress-life
approach
(stress-life
curves,
different damage
accumulation
rules, different
mean-stress
correction
models)
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Strain-life
approach
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Loading based on
rainflow
matrices, time
histories,
measured strains
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Dedicated strain
gauge rosette
analysis tools
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Detailed result
presentation
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Interactive and
batch mode
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Multi-platform
PC and UNIX
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Material
property and
solution
parameter
databases shared
between FE and
Test
applications
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Fast and
accurate fatigue
life prediction
based on
experimental
data
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Correlation of
results between
Test and CAE
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