Application of finite element model updating to a feed water pipeline of a nuclear power plant
| Autor: | Heikki Haapaniemi, Pekka Nurkkala, Arja Saarenheimo, Ari Vepsä, Pekka Luukkanen |
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| Rok vydání: | 2005 |
| Předmět: |
Nuclear and High Energy Physics
Engineering Pipeline (computing) finite element method Modal testing finite element analysis light water reactors law.invention law computer simulation Forensic engineering nuclear power plants General Materials Science Boundary value problem VVER Safety Risk Reliability and Quality Waste Management and Disposal pipelines FEM business.industry Mechanical Engineering Pressurized water reactor Structural engineering Nuclear reactor structural dynamics Finite element method Pipeline transport Nuclear Energy and Engineering business |
| Zdroj: | Vepsä, A, Haapaniemi, H, Luukkanen, P, Nurkkala, P & Saarenheimo, A 2005, ' Application of finite element model updating to a feed water pipeline of a nuclear power plant ', Nuclear Engineering and Design, vol. 235, no. 17-19, pp. 1849-1865 . https://doi.org/10.1016/j.nucengdes.2005.05.020 |
| ISSN: | 0029-5493 |
| DOI: | 10.1016/j.nucengdes.2005.05.020 |
| Popis: | This article is concerned with application of finite element model updating to a part of a secondary feed water pipeline of a VVER type nuclear power plant. A mathematical model of the pipeline was produced with finite element method. The pipeline was subjected to modal testing in three different conditions. The results of the modal testing were then compared with those predicted with the model. This comparison revealed discrepancies between these two sets of results. It is a commonly known fact that incorrect values of parameters in a model, among other things, do cause these discrepancies. In order to improve the correlation between the measured and the predicted results and hence improve the reliability of the model, the model was subjected to finite element model updating. In this updating process, incorrect values of parameters in a model are adjusted, so that a desired level of correlation between measured and predicted results is achieved. As a result, the correlation between the measured and the predicted results was improved. The bulk of the improvement was achieved by adjusting the values of those parameters that were associated with boundary conditions of the model. |
| Databáze: | OpenAIRE |
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