Factors influencing creep model equation selection

Holdsworth, S.R.; Askins, M.C.; Baker, A. J. M.; Gariboldi, Elisabetta; Holmström, Stefan; Klenk, Andreas; Ringel, M.; Merckling, G.; Sandström, Rolf; Schwienheer, Michael; Spigarelli, S.

doi:10.1016/j.ijpvp.2007.06.009

Cited by 52 publications

(49 citation statements)

References 13 publications

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“…In comparison with more complex material creep models, it has been shown to perform very well [6]. It is simple to implement and can describe creep response over the whole creep regime, from primary through to tertiary -features which are particularly attractive to design and assessment engineers.…”

Section: Discussionmentioning

confidence: 99%

“…A paper by Holdsworth et al [6] examined the issue of the choice of the most appropriate creep model. They investigated the performance of a wide range of creep models on a number of creep datasetsseveral of these models being modern developments of the classical creep models.…”

Section: Introductionmentioning

confidence: 99%

“…The Characteristic Strain Model (CSM) remarkably requires a minimum of creep data -essentially two values of rupture strength from creep rupture data in the tertiary creep regime and, from the primary/secondary regime of a single creep test, the stress required to bring the material to a 'characteristic strain', nominally half the value of creep strain at rupture. Despite the simplicity of the CSM, it was shown to achieve satisfactory predictions of creep strain at constant stress over all three stages of creep deformation in comparison with more sophisticated creep models which required much more creep data [6,7]. More recently Bolton [8] has extended the model to include creep recovery (the Duplex Characteristic Strain Model -DCSM).…”

Section: Introductionmentioning

confidence: 99%

“…For the transition from low to moderate stress Naumenko et al [15] proposed a constitutive relationship which assumed that the physical mechanisms were independent and that the corresponding creep rates could simply be added giving a 'modified power law': The standard creep curves from conventional uniaxial testing represent the variation of creep strain with time for various levels of stress [6]. These curves can be presented in different forms -the two most useful being the so-called isochronous and isostrain forms, Fig.5.…”

Section: Introductionmentioning

confidence: 99%

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The behavior of structures based on the characteristic strain model of creep

Boyle¹

2011

International Journal of Pressure Vessels and Piping

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There has been much work over the past two decades to aid the design and assessment engineer in the selection of a suitable material model of creep for high temperature applications.The model needs to be simple to implement as well as being able to describe material response over long times. Familiar creep models, as implemented in the majority of nonlinear finite element analysis systems, are still widely used although not always accurate in modeling creep behavior at the end of the secondary phase. The Characteristic Strain Model (CSM) has been shown to be able to effectively model creep behavior at long times; it is simple to implement and requires a minimum of creep data. This paper examines the ability of the CSM to model the recognized behavior of the steady state creep of simple structures under multi-axial stress.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The behavior of structures based on the characteristic strain model of creep

Boyle¹

2011

International Journal of Pressure Vessels and Piping

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“…Keywords: material homogenity, data management, cracked specimens, specimen design, thermo mechanical fatigue, multi-axialilty, simulation [6,7].…”

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confidence: 99%

Hochtemperaturprüfung – Ein Beitrag zur Werkstoffentwicklung und ‐qualifizierung sowie Simulation der Bauteilbeanspruchung

Scholz

Schwienheer²,

Müller

et al. 2007

Materialwissenschaft Werkst

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In parallel to continued developments of steam and gas turbines as well as traffic engineering machines on the one hand, and marginal conditions like low specific fuel consumption and sufficient environment-friendliness on the other hand, the aim of improving the degree of efficiency by augmenting process parameters such as temperature and pressure is being followed. These efforts impact especially components of thermic machines and facilities subject to high thermal and mechanic exposure.Still largely unexplored is the interaction between microstructure characteristics determined through chemical composition, production processes and heat treatment, changes in the microstructure due to multiaxial load and the time-dependent deformation and stability resulting hereof. With regard to this background, improved methods of material properties determination, their modelling and transfer on the component enable to optimize wall thicknesses and degrees of efficiency.In the course of evaluation of static and cyclic material properties carried out also on faulty specimens, uncertainties occur which can originate from the testing process and analysis, as well as being influenced by the material itself and its process of production. Altogether, the demand for reliable determination of material properties and methods of scatterband treatment and their mathematicalstatistical evaluation is in business. For simulation, consistent material datasets that describe the complex interaction between temperature, period of exposure and type of exposure are needed. Summarizing, the tasks dealt with qualify the entire process from production to the operational behaviour of components.

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Primary Creep

Sandström

2024

Springer Series in Materials Science

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For many materials, primary creep can be described with the phi (ϕ) model and tertiary creep with the Omega (Ω) model (discussed in Chap. 12). According to the phi model, the creep rate is linear in strain and time in a double logarithmic diagram. When using empirical descriptions of the creep curves, these models are recommended. Several basic models for primary creep are derived. They are based on the creep rate in the secondary stage. This means that primary creep can be derived without any new data. The primary creep models are in agreement with the phi model and can describe experimental data. For the martensitic 9–12% Cr steels at least two dislocation densities are needed to represent primary creep because the initial dislocation density is high contrary to the situation for annealed fcc materials.

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Factors influencing creep model equation selection

Cited by 52 publications

References 13 publications

The behavior of structures based on the characteristic strain model of creep

The behavior of structures based on the characteristic strain model of creep

Hochtemperaturprüfung – Ein Beitrag zur Werkstoffentwicklung und ‐qualifizierung sowie Simulation der Bauteilbeanspruchung

Primary Creep

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