A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components
The threat of thermal fatigue is an increasing concern for thermal power plant operators due to the increasing tendency to adopt “two-shifting” operating procedures. Thermal plants are likely to remain part of the energy portfolio for the foreseeable future and are under societal pressures to genera...
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| Format: | Article |
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MDPI
2016
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| Online Access: | https://eprints.nottingham.ac.uk/35543/ |
| _version_ | 1848795102999216128 |
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| author | Rouse, James Hyde, Christopher J. |
| author_facet | Rouse, James Hyde, Christopher J. |
| author_sort | Rouse, James |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The threat of thermal fatigue is an increasing concern for thermal power plant operators due to the increasing tendency to adopt “two-shifting” operating procedures. Thermal plants are likely to remain part of the energy portfolio for the foreseeable future and are under societal pressures to generate in a highly flexible and efficient manner. The Green’s function method offers a flexible approach to determine reference elastic solutions for transient thermal stress problems. In order to simplify integration, it is often assumed that Green’s functions (derived from finite element unit temperature step solutions) are temperature independent (this is not the case due to the temperature dependency of material parameters). The present work offers a simple method to approximate a material’s temperature dependency using multiple reference unit solutions and an interpolation procedure. Thermal stress histories are predicted and compared for realistic temperature cycles using distinct techniques. The proposed interpolation method generally performs as well as (if not better) than the optimum single Green’s function or the previously-suggested weighting function technique (particularly for large temperature increments). Coefficients of determination are typically above 0.96, and peak stress differences between true and predicted datasets are always less than 10 MPa. |
| first_indexed | 2025-11-14T19:26:45Z |
| format | Article |
| id | nottingham-35543 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:26:45Z |
| publishDate | 2016 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-355432020-05-04T17:33:21Z https://eprints.nottingham.ac.uk/35543/ A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components Rouse, James Hyde, Christopher J. The threat of thermal fatigue is an increasing concern for thermal power plant operators due to the increasing tendency to adopt “two-shifting” operating procedures. Thermal plants are likely to remain part of the energy portfolio for the foreseeable future and are under societal pressures to generate in a highly flexible and efficient manner. The Green’s function method offers a flexible approach to determine reference elastic solutions for transient thermal stress problems. In order to simplify integration, it is often assumed that Green’s functions (derived from finite element unit temperature step solutions) are temperature independent (this is not the case due to the temperature dependency of material parameters). The present work offers a simple method to approximate a material’s temperature dependency using multiple reference unit solutions and an interpolation procedure. Thermal stress histories are predicted and compared for realistic temperature cycles using distinct techniques. The proposed interpolation method generally performs as well as (if not better) than the optimum single Green’s function or the previously-suggested weighting function technique (particularly for large temperature increments). Coefficients of determination are typically above 0.96, and peak stress differences between true and predicted datasets are always less than 10 MPa. MDPI 2016-01-06 Article PeerReviewed Rouse, James and Hyde, Christopher J. (2016) A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components. Materials, 9 (1). p. 26. ISSN 1996-1944 Thermal fatigue; header; Green’s function method; power plant; P91 https://www.researchgate.net/publication/289569663 doi:10.3390/ma9010026 doi:10.3390/ma9010026 |
| spellingShingle | Thermal fatigue; header; Green’s function method; power plant; P91 Rouse, James Hyde, Christopher J. A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| title | A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| title_full | A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| title_fullStr | A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| title_full_unstemmed | A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| title_short | A comparison of simple methods to incorporate material temperature dependency in the Green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| title_sort | comparison of simple methods to incorporate material temperature dependency in the green’s function method for estimating transient thermal stresses in thick-walled power plant components |
| topic | Thermal fatigue; header; Green’s function method; power plant; P91 |
| url | https://eprints.nottingham.ac.uk/35543/ https://eprints.nottingham.ac.uk/35543/ https://eprints.nottingham.ac.uk/35543/ |