Wandong Wang , Hongchen Zhao , Zhinan Zhang , Wenbo Sun , Calvin Rans , Yu’e Ma
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引用次数: 0
Abstract
Accurately predicting MSD crack growth behavior in hybrid metal–composite structures is challenging due to the complex interactions of fiber bridging and delamination failure in fiber–metal laminates (FMLs). These mechanisms enhance damage tolerance but complicate crack analysis. This paper proposes two analytical models to address crack growth in FMLs with multiple collinear cracks. The first model analyzes crack openings and stress intensity factors (SIFs) for multiple cracks, capturing the physics of MSD cracking, but it is cumbersome to implement. The second model simplifies the problem by considering energy dissipation, treating the MSD scenario as a single crack in a finite plate and equating the energy dissipation between both cases. Both models were validated and show accurate predictions of crack growth behavior, capturing crack acceleration effectively. The results emphasize the importance of accounting for the contributions of bridging and stiffening mechanisms in FMLs, particularly load redistribution, which influences crack growth.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.