Computational modelling of head and brain injury in vulnerable populations

弱势群体头部和脑损伤的计算模型

• 批准号: 2440997
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2440997
• 关键词: Computational; modelling; head; brain; injury

Safety engineering to prevent or mitigate against head injuries is largely based upon injury criteria or computational modelling that are specific to young adult heads and brains. This has proved extremely successful for relevant applications such as seatbelt and airbag design and motorcycle helmet construction. However, differences in brain mass and volume and tissue strengths greatly reduce the usefulness of such models when applied to current issues such as falls in the elderly and intraventricular haemorrhage in premature babies. The project will develop models that are specific to such vulnerable populations based on appropriate geometries and tissue properties with a view to their application to such interventions as the design and specification of hospital and care home flooring and neonatal transport restraint systems

预防或减轻头部损伤的安全工程在很大程度上是基于针对年轻人头部和大脑的损伤标准或计算模型。事实证明，这在安全带和安全气囊设计以及摩托车头盔制造等相关应用中非常成功。然而，当应用于老年人跌倒和早产儿脑室出血等当前问题时，大脑质量、体积和组织强度的差异极大地降低了此类模型的有用性。该项目将根据适当的几何形状和组织属性开发针对这些脆弱人群的模型，以期将其应用于诸如医院和疗养院地板和新生儿运输约束系统的设计和规范等干预措施