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Questions and Answers
What is the purpose of modelling at the laminate scale?
Why is modelling at the ply scale alone not sufficient for predicting material behavior in CFRP?
What is the goal of optimal multi-scale modelling?
What is the key assumption in most multi-scale models regarding material heterogeneity?
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When is a material considered statistically inhomogeneous?
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What is an important consequence of assuming statistical homogeneity in a material?
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What is the desired property of an optimal multi-scale model regarding the reconstruction of microstructures?
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What is the advantage of modelling at the laminate scale compared to the ply scale?
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If a composite material has particles that are randomly distributed, what can be assumed about its macroscale properties?
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What is the purpose of considering statistical homogeneity in multi-scale modelling?
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Study Notes
Multiscale Modeling
- Traditional single-scale models may not capture the full complexity of real-world systems, such as CFC.
- Multiscale modeling provides a more accurate and insightful understanding of material behavior.
- Properties are scale-specific.
Applications of Multiscale Modeling
- Biomechanics: simulating bone fracture and soft tissue behavior
- Aerospace: fatigue crack growth and designing lightweight materials
- Building: crack propagation in concrete and response of structures to earthquakes
Material Structure Hierarchy
- Macroscale/Continuum: on the scale of the part (~1m)
- Mesoscale: on the scale of the reinforcement (~1 to 10 mm)
- Microscale: on the scale of the fibre (~10µm=10.0x10-6m)
- Atomistic/Nanoscale: Molecular Dynamics
Multi-Scale Examples
- Carbon-Fiber textile composite: macroscale and microscale
- Particle composite: functionally graded materials
- Cortical bone: unit cell
Challenges of Multiscale Modeling
- Manipulating materials across all relevant scales
- Architected Materials derive their properties from structural architecture.
Separation of Scales
- Aiming to create a simplified model that removes small-scale details while preserving macroscopic response
- Removing small-scale details by separating scales
Examples of Separation of Scales
- Homogenous metal (St): scales from zero (Grain boundaries) to one (Homogenized Steel)
- Carbon Fibre Reinforced Plastics: scales from zero (Constituent Microstructure) to three (Laminate)
- Weave Carbon Fibre Reinforced Plastics: scales from zero (Constituent Microstructure) to four (Laminate)
Need for Multi-Scale Modeling in CFRP
- Modeling at laminate scale is not sufficient to predict material behavior
- Need to consider scale one to predict material behavior
Optimal Multi-Scale Modeling
- Aiming for an effective macroscopic model that is homogeneous and/or stable with respect to microstructure
- Possibility to reconstruct microstructures from solutions of the effective macroscopic model
Heterogeneity
- Statistically homogeneous: material properties are independent of where on the macroscale they are probed
- Statistically inhomogeneous: particle concentration in a composite shows a gradient
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Description
Learn about the importance of multiscale modeling in capturing the complexity of real-world systems like CFC, and how it provides a more accurate understanding of material behavior. Explore how properties are scale-specific and the sensitivity of responses to microstructure impacts performance. Applications in biomechanics and aerospace are also covered.