Helmet Impact Multiscale Modeling and Simulation

头盔碰撞多尺度建模与仿真

• 批准号: 543727-2019
• 负责人: Ince, Ayhan
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680747
• 关键词: Helmet; Impact; Multiscale; Modeling; Simulation

Developing safer bicycle and motorcycle bike helmets at reduced cost would greatly increase their effectiveness and usage, thus avoiding trauma, physical injuries or loss of life. With over 1 million road traffic deaths worldwide recorded annually between 2000-2016, out of which 54% represent cyclists, motorcyclists and pedestrians, the World Health Organization estimates that "head injuries are the leading cause of death and major trauma", and that "helmet use can lead to a 42% reduction in the risk of fatal injuries and a 69% reduction in the risk of head injuries" .These statistics highlight the importance and the existence of a great need and huge market potential for more effective and less expensive helmets. However, innovation is currently limited by the lack of accurate simulation methods, which entails lengthy testing and high development costs. Since no well-defined modeling methods exist at present, LX Sim, an engineering company in Quebec specialized in simulation and optimization of product design seeks research collaboration with Concordia University to develop modeling capabilities for simulating helmet impacts. Development of efficient and accurate modeling and simulation techniques for helmet design would allow for an increased number of design iterations before manufacturing of prototypes, which would greatly boost innovation and provide optimum design solutions for helmet manufactures in Canada. Improved helmet design will lead to significant reduction in head injuries and associated health costs.

以较低的成本开发更安全的自行车和摩托车头盔将大大提高其有效性和使用率，从而避免创伤，身体伤害或生命损失。2000年至2016年期间，全球每年记录的道路交通死亡人数超过100万人，其中54%为骑自行车者、摩托车者和行人，世界卫生组织估计，“头部受伤是死亡和重大创伤的主要原因”，“使用头盔可以减少42%的致命伤害风险和69%的头部伤害风险”这些统计数字突出了对更有效和更便宜的头盔的巨大需求和巨大市场潜力的重要性和存在。然而，由于缺乏准确的模拟方法，创新目前受到限制，这需要漫长的测试和高昂的开发成本。由于目前还没有定义明确的建模方法，魁北克的一家专门从事产品设计模拟和优化的工程公司LX Sim寻求与Concordia大学进行研究合作，以开发模拟头盔冲击的建模能力。开发有效和准确的头盔设计建模和仿真技术将允许在制造原型之前增加设计迭代次数，这将大大促进创新，并为加拿大的头盔制造商提供最佳设计解决方案。改进的头盔设计将大大减少头部受伤和相关的健康成本。