<p>A floating nuclear power plant (FNPP) is an offshore facility that integrates proven light-water reactor technologies with floating platform characteristics. However, frequent contact with marine environments may lead to wave-induced vibrations and oscillations. This study aimed to evaluate the wave danger on FNPPs, which can negatively impact FNPP functionality. We developed a hydrodynamic model of an FNPP using potential flow theory and computed the frequency-domain fluid dynamic responses. After verifying the hydrodynamic model, we developed a predictive model for FNPP responses. This model utilizes a genetic aggregation methodology for batch prediction while ensuring accuracy. We analyzed all the wave data from a selected sea area over the past 50 years using the constructed surrogate model, enabling us to identify dangerous marine areas. By utilizing the extreme value distribution of important wave heights in these areas, we determined the wave return period, which poses a threat to FNPPs. This provides an important method for analyzing wave hazards to FNPPs.</p>

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Using the response surface method to conduct wave hazard assessment for a floating nuclear power plant

  • Shu-Wen Yu,
  • Xin-Yan Xu,
  • Chang-Hong Peng

摘要

A floating nuclear power plant (FNPP) is an offshore facility that integrates proven light-water reactor technologies with floating platform characteristics. However, frequent contact with marine environments may lead to wave-induced vibrations and oscillations. This study aimed to evaluate the wave danger on FNPPs, which can negatively impact FNPP functionality. We developed a hydrodynamic model of an FNPP using potential flow theory and computed the frequency-domain fluid dynamic responses. After verifying the hydrodynamic model, we developed a predictive model for FNPP responses. This model utilizes a genetic aggregation methodology for batch prediction while ensuring accuracy. We analyzed all the wave data from a selected sea area over the past 50 years using the constructed surrogate model, enabling us to identify dangerous marine areas. By utilizing the extreme value distribution of important wave heights in these areas, we determined the wave return period, which poses a threat to FNPPs. This provides an important method for analyzing wave hazards to FNPPs.