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Subregional Differentiated Safety Factors Design Based on Nonprobabilistic Structural Reliability

AIAA Journal, ISSN: 1533-385X, Vol: 62, Issue: 7, Page: 2424-2432
2024
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  • Mentions
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    • News Mentions
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Most Recent News

Studies from Beihang University Describe New Findings in Aerospace Research (Subregional Differentiated Safety Factors Design Based On Nonprobabilistic Structural Reliability)

2024 APR 02 (NewsRx) -- By a News Reporter-Staff News Editor at Defense & Aerospace Daily -- Current study results on Aerospace Research have been

Article Description

The structural safety factor is an essential parameter in aircraft design, representing the ratio of the design load to the operating load. Traditional design methods rely on subjective determination of safety factor values based on experience, lacking objectivity in quantifying uncertainty. However, with advancements in aircraft design technology and increasing competition in the commercial space market, new-generation hypersonic aircraft with complex load environments require a more optimal approach. Applying a uniform safety factor to each component within subregions of the aircraft leads to overly conservative results and impacts flight performance. To address this limitation, a design scheme that incorporates subregional, differentiated safety factors is necessary. This approach allows for better material utilization and ensures compliance with safety requirements. This paper utilizes reliability-based design optimization theory to consider uncertainty in structural systems. It establishes a mapping relationship between structural reliability and differentiated safety factors, providing safety under uncertainty while guaranteeing weight reduction. Additionally, this paper develops a subregional, differentiated safety factors distribution program to determine the safety factors of different subregions of the structure. Consequently, a refined subregional differentiated safety factors scheme that balances safety and economy is derived.

Bibliographic Details

Yusheng Xu; Xiaojun Wang; Lei Wang; Jinglei Gong; Yongbo Yu; Qinghe Shi

American Institute of Aeronautics and Astronautics (AIAA)

Engineering

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