Journal
COMPOSITES PART B-ENGINEERING
Volume 41, Issue 6, Pages 446-453Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compositesb.2010.05.005
Keywords
Polymer-matrix composites (PMCs); Mechanical properties; Micro-mechanics; Statistical properties/methods Reliability
Funding
- Engineering and Physical Sciences Research Council (EPSRC)
- Ministry of Defence (MOD), United Kingdom
- EPSRC [EP/C548590/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/C548590/1] Funding Source: researchfish
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In probabilistic composite mechanics, uncertainty modelling may be introduced at a constituent (micro-scale), ply (meso-scale) or component (macro-scale) level. Each of these approaches has particular advantages/limitations and appropriate fusing and benchmarking is desirable in order to improve confidence in probabilistic performance estimates of composite structures. In the present study, random variable based micro and macro-scale reliability analyses are critically compared through a limit state formulation based on the analytical stress tensor components of a rectangular simply supported orthotropic FRP composite plate and the Tsai-Hill failure criterion. The study aims to promote cross-fertilisation of alternative uncertainty modelling approaches in a multi-scale analysis framework. Propagation of uncertainty from micro to macro-scale, and the corresponding influence of changes in random variability on the reliability estimates is quantified. The importance of benchmarking experimentally-based probability distributions of mechanical properties through micro-scale modelling is illustrated, and the confidence that can be placed on reliability estimates is quantified through a series of numerical examples. (C) 2010 Elsevier Ltd. All rights reserved.
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