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March 3, 2026Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability0 citations

Structural reliability analysis of improved response surface method based on maximum entropy principle

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JZJinfang ZhaoShenyang Aerospace UniversityDCDa CuiShenyang Aerospace UniversityQZQun ZhaoShenyang Institute of Engineering

Key Points

  • Reliability analysis demonstrates improved efficiency for wing structure assessments.
  • The method incorporates maximum entropy, reducing sampling needs while enhancing accuracy for nonlinear functions.
  • This approach employs finite element analysis, addressing challenges in evaluating correlated multi-failure modes.
  • Findings suggest a more effective integration of structural reliability methods in aerospace design, highlighting potential advancements in safety.

Abstract

In aerospace engineering, the wing is a critical factor in assessing the structural reliability of an aircraft. As the fundamental structural element of an aircraft, the reliability of the wing is of paramount importance to the aircraft’s flight performance and the safety of its occupants. Consequently, a reliability analysis of the wing represents a crucial avenue for enhancing the overall flight performance and safety of the aircraft. The paper examines the reliability of the double-beam wing structure of an aircraft in the event of failure under a range of potential scenarios. This study improves the response surface proxy modeling method by incorporating the principle of maximum entropy, thus optimizing its integration with the finite element analysis (FEA) method by reducing sampling needs and computational costs while enhancing accuracy for nonlinear implicit functions. Challenges included handling correlated multi-failure modes, addressed through series system analysis. This new approach allows for the reliability analysis of complex wing structures to be carried out in a more efficient manner.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/69a75bd6c6e9836116a23dddhttps://doi.org/10.1177/1748006x251393327
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