Reliability analysis and micromechanics: A coupled approach for composite failure prediction
This work aims at associating two classical approaches for the design of composite materials: first, reliability methods that allow to account for the various uncertainties involved in the composite materials behaviour and lead to a rational estimation of their reliability level; on the other hand,...
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Veröffentlicht in: | International journal of mechanical sciences 2011-11, Vol.53 (11), p.935-945 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This work aims at associating two classical approaches for the design of composite materials: first, reliability methods that allow to account for the various uncertainties involved in the composite materials behaviour and lead to a rational estimation of their reliability level; on the other hand, micromechanics that derive macroscopic constitutive laws from micromechanical features. Such approach relies on the introduction of variabilities defined at the microscale and on the investigation of their consequences on the material macroscopic response through an homogenization scheme. Precisely, we propose here a systematic treatment of variability which involves a strong link between micro- and macroscales and provides a more exhaustive analysis of the influence of uncertainties. The paper intends to explain the main steps of such coupling and demonstrate its interests for material engineering, especially for constitutive modelling and composite materials optimization. An application case is developed throughout on the failure of unidirectional carbon fibre-reinforced composites with a comparative analysis between experimental data and simulation results.
► Reliability methods and micromechanics are associated for composites investigation. ► This allows a multi-scale analysis of the influence of uncertainties. ► The approach is applied on the study of footbridge composite stays cables. ► Interests for the composite modelling, design and optimization are demonstrated. |
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ISSN: | 0020-7403 1879-2162 |
DOI: | 10.1016/j.ijmecsci.2011.07.001 |