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Numerical simulations of multiple vehicle crashes and multidisciplinary crashworthiness optimization

机译:多车祸的数值模拟和多学科的耐撞性优化

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In this study, a full-scale finite element vehicle model of a 1996 Dodge Neon is used in simulating two types of vehicle crashes, offset-frontal and side impacts. Based on an analysis of the vehicle's internal energy absorption under both impacts, twenty-one components are selected and represented by thirteen design variables for the multidisciplinary optimization including the weight, intrusion distance, and energy absorptions. The second-order polynomials are used in creating the metamodels for the objective and constraint functions. The optimization results show that the weight can be significantly reduced while decreasing the intrusion distance and keeping the original level of energy absorption. With the successfully implemented optimization scheme, a set of non-dominated (tradeoff) solutions is obtained and the final design can be selected based on the designer's preference. A simulation of 100 ms offset-frontal impact using LS-DYNA MPP v970 takes approximately 17 hours with 36 processors on an IBM Linux Cluster with Intel Pentium Ⅲ 1.266 GHz processors and 607.5 GB RAM. A simulation of 100 ms side impact takes approximately 29 hours with the same condition as that of the offset-frontal simulation.
机译:在这项研究中,使用1996年道奇霓虹灯的全尺寸有限元车辆模型来模拟两种类型的车辆碰撞,即正面碰撞和侧面碰撞。基于对两种冲击下车辆内部能量吸收的分析,选择了二十一个组件并由十三个设计变量表示,以进行多学科优化,包括重量,侵入距离和能量吸收。二阶多项式用于创建目标函数和约束函数的元模型。优化结果表明,可以显着减轻重量,同时减少入侵距离并保持原始能量吸收水平。通过成功实施的优化方案,可以获得一组非支配(权衡)解决方案,并且可以根据设计人员的偏好选择最终设计。使用LS-DYNA MPP v970在带有Intel PentiumⅢ1.266 GHz处理器和607.5 GB RAM的IBM Linux集群上使用36个处理器对100 ms偏置正面影响进行仿真大约需要17个小时。在与偏置正面模拟相同的条件下,模拟100毫秒的侧面碰撞大约需要29个小时。

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