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Application of HyperWorks in Developing Human Body Models for Vehicle Crash Assessment
技术
- 分析与建模 - 数字孪生/模拟
- 机器人 - 自动导引车 (AGV)
适用行业
- 汽车
- 运输
适用功能
- 产品研发
- 质量保证
用例
- 现场人员安全管理
- 车辆性能监测
服务
- 测试与认证
挑战
密歇根大学交通研究所 (UMTRI) 面临着开发有限元人体模型的挑战，该模型需要考虑年龄、性别和肥胖对车祸伤害风险的影响。现有的伤害评估工具，包括有限元人体模型，没有考虑到人群中不同的体型和成分差异。这是一个重要的问题，因为 UMTRI 对碰撞伤害数据库的分析表明，年龄、性别和体重指数 (BMI) 等乘员特征会显着影响车辆碰撞中胸部和下肢受伤的风险。面临的挑战是通过开发代表广泛人类属性的详细的、基于参数的有限元人体模型，将车辆碰撞保护范围扩大到涵盖所有车辆乘员。
关于客户
密歇根大学交通研究所 (UMTRI) 是一家领先的研究中心，致力于为全球社会实现安全和可持续的交通。 UMTRI 致力于跨学科研究，重点关注提高驾驶员安全。自 1965 年成立以来，UMTRI 因其与伤害生物力学相关的机动车辆安全研究而在国内和国际上赢得了显着的声誉。这项研究主要集中在 UMTRI 的生物科学小组，涉及机动车辆乘员的生物力学研究，因为它涉及乘员伤害评估、碰撞保护和乘员住宿。
解决方案
UMTRI 开发了一个计算框架来构建用于碰撞模拟的参数化有限元全身人体模型。该框架由三个建模步骤组成：人体测量学的统计模型开发、基于身体标志的网格变形以及随机材料模型分配。人体测量统计模型的开发涉及子模型的建立：坐姿模型、体表轮廓模型和骨骼几何模型。 UMTRI 开发的网格变形技术基于这样的假设：人体模型的有限元模型网格可以平滑地变为其他几何形状，而无需开发新的有限元网格。 Altair HyperMesh 及其变形模块 (HyperMorph) 贯穿于参数化全身人体模型开发的整个过程中。一旦生成了基于这些变形程序的有限元网格，具有不同特征（年龄、性别、BMI）的乘员的材料属性就被分配给不同的身体部件。
运营影响
数量效益
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