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Sensitivity analysis for reliable design verification of nuclear turbosets

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  • Zentner, Irmela
  • Tarantola, Stefano
  • de Rocquigny, E.

Abstract

In this paper, we present an application of sensitivity analysis for design verification of nuclear turbosets. Before the acquisition of a turbogenerator, energy power operators perform independent design assessment in order to assure safe operating conditions of the new machine in its environment. Variables of interest are related to the vibration behaviour of the machine: its eigenfrequencies and dynamic sensitivity to unbalance. In the framework of design verification, epistemic uncertainties are preponderant. This lack of knowledge is due to inexistent or imprecise information about the design as well as to interaction of the rotating machinery with supporting and sub-structures. Sensitivity analysis enables the analyst to rank sources of uncertainty with respect to their importance and, possibly, to screen out insignificant sources of uncertainty. Further studies, if necessary, can then focus on predominant parameters. In particular, the constructor can be asked for detailed information only about the most significant parameters.

Suggested Citation

  • Zentner, Irmela & Tarantola, Stefano & de Rocquigny, E., 2011. "Sensitivity analysis for reliable design verification of nuclear turbosets," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 391-397.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:3:p:391-397
    DOI: 10.1016/j.ress.2010.10.005
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    References listed on IDEAS

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    1. Saltelli, Andrea & Ratto, Marco & Tarantola, Stefano & Campolongo, Francesca, 2006. "Sensitivity analysis practices: Strategies for model-based inference," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1109-1125.
    2. Sobol´ I.M. & Kucherenko S.S., 2005. "On global sensitivity analysis of quasi-Monte Carlo algorithms," Monte Carlo Methods and Applications, De Gruyter, vol. 11(1), pages 83-92, March.
    3. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
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    3. Cao, Jiaokun & Du, Farong & Ding, Shuiting, 2013. "Global sensitivity analysis for dynamic systems with stochastic input processes," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 106-117.

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