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A probabilistic approach for design and certification of self-healing advanced composite structures

机译:一种用于自愈高级复合材料结构的设计和认证的概率方法

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摘要

Design and certification of novel self-healing aerospace structures was explored by reviewing the suitability of conventional deterministic certification approaches. A sandwich structure with a vascular network self-healing system was used as a case study. A novel probabilistic approach using a Monte Carlo method to generate an overall probability of structural failure yields notable new insights into design of self-healing systems, including a drive for a faster healing time of less than two flight hours. In the case study considered, a mature self-healing system could be expected to reduce the probability of structural failure (compared to a conventional damage-tolerant construction) by almost an order of magnitude. In a risk-based framework this could be traded against simplified maintenance activity (to save cost) and/or increased allowable stress (to allow a lighter structure). The first estimate of the increase in design allowable stresses permitted by a self-healing system is around 8 per cent, with a self-healing system much lighter than previously envisaged. It is thought these methods and conclusions could have wider application to self-healing and conventional high-performance composite structures.
机译:通过审查常规确定性认证方法的适用性,探索了新型自修复航空航天结构的设计和认证。以具有血管网络自我修复系统的三明治结构为例。使用蒙特卡洛方法产生结构失效的整体概率的新颖概率方法,对自我修复系统的设计产生了重要的新见解,包括驱动了少于两个飞行小时的更快治愈时间。在考虑的案例研究中,成熟的自我修复系统可望将结构失效的可能性(与传统的耐损结构相比)降低近一个数量级。在基于风险的框架中,可以将其与简化的维护活动(以节省成本)和/或增加的允许应力(以使结构更轻)相抵触。自我修复系统允许的设计许用应力增加的最初估计约为8%,而自我修复系统比以前设想的要轻得多。人们认为这些方法和结论可能会更广泛地应用于自修复和常规高性能复合结构。

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    《Journal of Risk and Reliability》 |2011年第4期|p.435-449|共15页
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