Modeling of soft materials subjected to high strain rate deformation

软材料表现出复杂的超弹性行为(非线性)，这使得对其动态响应的建模和模拟具有挑战性。多年来，我们的团队一直致力于通过支持加拿大大大小小的公司来表征软材料的动态行为。然而，我们没有足够的工具来对这些应用中暴露在高应变率下的材料进行数字建模。因此，建议的研究目标及其结果/影响对应于使用我们团队的大量实验数据来(I)建立数值软材料模型和(Ii)验证软材料数值模型。我们与爱琴海大学的国际合作将促进在自然科学和工程(NSE)领域产生新知识的新潜力，因为软材料在制造(例如弹性体、软塑料)或生物工程(例如水凝胶)方面的应用处于最先进水平。特别是为动态应用程序模拟它们的行为是独一无二的，将在加拿大和国际行业提供一种创新的解决方案。我们选定的国际合作者是材料数值建模和模拟方面的专家，特别是通过使用有限元分析。我们选择国际合作者的理由是加强我们的努力，以限制表征软材料行为所需的实验测试，并建立能够预测不同变形条件的模型。因此，拟议的国际合作在没有性别偏见和种族主义的包容和欢迎的环境中进行，旨在将软材料的动态表征和模拟转化为可通过任何商业有限元软件广泛使用的自动程序。

Soft materials exhibit complex hyperelastic behaviour (non-linear), making modelling and simulation of their dynamic response challenging. Over many years, our team has worked on the characterization of soft materials' dynamic behaviour by supporting small- to large-size Canadian companies. However, we do not have adequate tools to model numerically those applications' materials exposed to high strain rates. Thus, the proposed research objectives and their outcomes/impacts correspond to using our team's extensive experimental data for (i) building numerical soft material models and (ii) validating the soft material numerical models. Our international collaboration with the University of Aegean will prompt new potential for generating new knowledge in the natural sciences and engineering (NSE) as soft materials are in the state-of-art for applications relative to manufacturing (e.g., elastomers, soft plastic) or bioengineering (e.g., hydrogels). Especially simulating their behaviour for dynamic applications is unique and will provide an innovative solution in the Canadian and international industries. Our selected international collaborator is an expert in the numerical modelling and simulations of materials, especially by using FEA. Our rationale for the selected international collaborator is to enhance our effort to limit the experimental tests required for characterizing the behaviour of soft materials and build models capable of predicting different deformation conditions. Thus, the proposed international collaboration, performed in an inclusive and welcoming environment free of gender bias and racism, aims to convert soft materials' dynamic characterization and simulation to an automatic procedure that can be widely used through any commercial FEA software.