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Predicting creep rupture from early strain data
Stefan Holmström
, Pertti Auerkari
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
11
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Keyphrases
Creep Rupture
100%
Rupture Model
100%
Strain Data
100%
Strain Model
66%
Creep Strain
44%
Master Curve
22%
Oxygen-free
22%
Low Stress Level
22%
Phosphorus Doping
22%
Data Quality
11%
Good Accuracy
11%
Modeling Data
11%
Strain Rate
11%
Power Law
11%
Creep Life
11%
Canister
11%
Testing Time
11%
Spent nuclear Fuel
11%
Stress Dependence
11%
Arrhenius-type
11%
Specimen Data
11%
Life Assessment
11%
Creep Data
11%
Overpack
11%
Life Prediction
11%
Strain Range
11%
Primary Creep
11%
Creep Curve
11%
Combined Model
11%
Model Improvement
11%
Strain Response
11%
Wilshire Equations
11%
Life Modeling
11%
Value of Time
11%
Elastic Strain
11%
Thermal Activation
11%
Runs Test
11%
Secondary Creep
11%
Stress Types
11%
Multi-batch
11%
Combined Strain
11%
Interrupted Tensile Test
11%
Creep Strain Model
11%
Engineering
Creep Strain
100%
Creep Rupture
100%
Strain Model
100%
Strain Data
100%
Master Curve
40%
Stress Level
40%
Creep
40%
Good Accuracy
20%
Spent Nuclear Fuel
20%
Test Data
20%
Arrhenius
20%
Creep Data
20%
Life Prediction
20%
Sound Basis
20%
Strain Response
20%
Elastic Strain
20%
Strain Rate
20%
Primary Creep
20%
Quality Data
20%
Secondary Creep
20%
Testing Time
20%
INIS
data
100%
ruptures
100%
strains
100%
creep
100%
modeling
31%
curves
18%
levels
12%
doped materials
12%
range
12%
oxygen
12%
copper
12%
phosphorus
12%
values
6%
economics
6%
efficiency
6%
assessments
6%
information
6%
power
6%
equations
6%
spent fuels
6%
prediction
6%
accuracy
6%
testing
6%
investigations
6%
strain rate
6%
extraction
6%
canisters
6%