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Factors influencing creep model equation selection
S.R. Holdsworth
*
, M. Askins
, A. Baker
, E. Gariboldi
, Stefan Holmström
, A. Klenk
, M. Ringel
, G. Merckling
, R. Sandstrom
, M. Schwienheer
, S. Spigarelli
*
Corresponding author for this work
VTT Technical Research Centre of Finland
Swiss Federal Laboratories for Materials Science and Technology (EMPA)
RWE Npower PLC
British Energy
Polytechnic University of Milan
VTT (former employee or external)
University of Stuttgart
Swerea AB
Leibniz Institute for Solid State and Materials Research Dresden (IFW)
Universita Politecnica delle Marche
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
56
Citations (Scopus)
Overview
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Keyphrases
Creep Model
100%
Model Equation
100%
Deformation Characteristics
66%
Creep Curve
66%
Creep
33%
Network Member
33%
Creep Strain
33%
Thematic Network
33%
Multicast
33%
Model Fitting
33%
Engineering Alloys
33%
Analytical Representation
33%
Model Selection
33%
Number of Casts
33%
Fitting Approach
33%
High Temperature Deformation
33%
Multi-source multicast
33%
Engineering
Influencing Factor
100%
Creep Model
100%
Creep
100%
Deformation Characteristic
66%
Applicability
33%
Creep Strain
33%
Equation Model
33%
Engineering Alloy
33%
INIS
equations
100%
creep
100%
deformation
28%
strains
28%
steels
28%
curves
28%
datasets
28%
comparative evaluations
14%
assessments
14%
engineering
14%
applications
14%
high temperature
14%
range
14%
alloys
14%
accumulation
14%
Material Science
Creep
100%