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<p>In the context of the full-scale Russian aggression in Ukraine, cases of accidental or deliberate damage to civilian and industrial buildings and structures have increased dramatically. From time to time, the media reports alarming news about the possibility of shelling and damage to nuclear power facilities. In the case of heavily damaged hydroelectric power plants, thermal power plants, etc., the importance of sustainable electricity generation by nuclear power plants (NPP) is growing as never before, but they can potentially be enemy targets. In this context, assessing the strength of buildings and structures at the NPP site from the direct impact of explosives and the consequences of a blast wave is important. The topic of assessing the strength of structures and facilities against explosive loads is not quite widespread, and the available sources of information do not contain clear methodological approaches and regulatory requirements for the correct consideration of explosive loads and assessments of the strength of structures and facilities. Moving directly to the calculations and assessment of the strength of structures and facilities located at the NPP site requires a study of the available empirical and numerical approaches for modeling explosive loads. According to the requirements of regulatory documents, for example, PIN AE-5.6 Standards for Construction Design of NPPs with reactors of different types, NPP building structures should be designed to withstand the impact of an airborne shock wave (ASW), and appropriate calculations should demonstrate this. The state building codes in force in Ukraine, which establish general rules for determining loads on building structures, do not contain sufficient recommendations for determining the parameters of a shock wave. Based on analytical studies, approaches to empirical relations and direct numerical modeling of the explosion and the ASW are considered.</p>

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Empirical and numerical approaches to modeling UAV-induced impact loads. Part 1. Overview and comparison of empirical methods

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • O. P. Shugailo,
  • O. V. Khalchenkov

摘要

In the context of the full-scale Russian aggression in Ukraine, cases of accidental or deliberate damage to civilian and industrial buildings and structures have increased dramatically. From time to time, the media reports alarming news about the possibility of shelling and damage to nuclear power facilities. In the case of heavily damaged hydroelectric power plants, thermal power plants, etc., the importance of sustainable electricity generation by nuclear power plants (NPP) is growing as never before, but they can potentially be enemy targets. In this context, assessing the strength of buildings and structures at the NPP site from the direct impact of explosives and the consequences of a blast wave is important. The topic of assessing the strength of structures and facilities against explosive loads is not quite widespread, and the available sources of information do not contain clear methodological approaches and regulatory requirements for the correct consideration of explosive loads and assessments of the strength of structures and facilities. Moving directly to the calculations and assessment of the strength of structures and facilities located at the NPP site requires a study of the available empirical and numerical approaches for modeling explosive loads. According to the requirements of regulatory documents, for example, PIN AE-5.6 Standards for Construction Design of NPPs with reactors of different types, NPP building structures should be designed to withstand the impact of an airborne shock wave (ASW), and appropriate calculations should demonstrate this. The state building codes in force in Ukraine, which establish general rules for determining loads on building structures, do not contain sufficient recommendations for determining the parameters of a shock wave. Based on analytical studies, approaches to empirical relations and direct numerical modeling of the explosion and the ASW are considered.