A Probabilistic Approach For Design And Certification Of Self-Healing Advanced Composite Structures

HR Williams, RS Trask, IP Bond

Research output: Contribution to journalArticle (Academic Journal)peer-review

12 Citations (Scopus)

Abstract

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 2 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%, with a selfhealing 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.
Translated title of the contributionA Probabilistic Approach For Design And Certification Of Self-Healing Advanced Composite Structures
Original languageEnglish
Number of pages16
JournalProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
DOIs
Publication statusPublished - 2011

Bibliographical note

Publisher: Sage

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