Active Research
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IMMC Material Characterization
Improving the techniques used to measure mechanical responses of biological tissues and polymeric materials is critical to the ground-up approach of building predictive numerical models. These materials often present unique challenges when carrying out model-focused characterization due to geometric complexities and changes in response across ranges of loading rates, temperature, and other environmental conditions. Furthermore, the hierarchical nature of many of these materials often requires characterization ranging from small-scale material tests to large scale structural tests.
CAE Implementation
CAE Implementation and model verification and validation (V&V) form the foundation for advanced predictive modeling.
Challenge
Materials such as foams, elastomers and rigid polymers are commonly used in energy absorbing (impact) applications. The development of advanced human body models for virtual evaluation and design of safety systems requires dynamic properties for biomaterials.
One of the most important challenges in advanced modeling today is the characterization of mechanical properties and implementation in a numerical environment.
Constitutive Modeling
Advanced constitutive modeling considers material nonlinearity, hyperelasticity, viscoelasticity and damage.
High Deformation Rate Characterization
Low impedance materials exhibit a high degree of rate sensitivity. We are often interested in high deformation rates and large deformations. These materials are dispersive and have low impedance, which is important when considering wave effects.