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Computer Analysis of Vehicle Trajectories

机译:车辆轨迹的计算机分析

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In a densely populated urban environment, errant vehicles may pose a serious threat to neighboring traffic of pedestrians, bicyclists, and even to their drivers. Preliminary studies have indicated that street curbs do not offer any meaningful protection against errant vehicles, which can easily traverse street curbs even at small velocity and shallow angle. The paper presents research results of a study, in which computational mechanics was utilized to predict vehicle trajectories upon traversing standard Florida DOT street curbs. Computational analysis was performed using LS-DYNA computer code and two public domain, finite element models of motor vehicles: Ford Festiva and Ford Taurus. The suspension systems of original vehicle models were evaluated and additional, required suspension components were identified and developed. The finite element models of the required suspension systems were created using geometry from the actual suspension parts, captured using a digitizing arm. Due to complex geometry of these parts, the MSC-PATRAN preprocessor was used to create data for LS-DYNA code. Shock absorbers were modeled using discrete spring and damper elements. Connections for the modified suspension systems were carefully designed to assure proper range of motion for the suspension models. Inertia properties of the actual vehicles were collected using tilt-table tests and they were used for LS-DYNA vehicle models. A standard FDOT street curb model was developed using a combination of rigid walls and shell elements. Initial trajectory analyses were performed for two vehicle models using the non-linear, finite element code LS-DYNA. An explicit, finite difference algorithm implemented in LS-DYNA was used to carry out the dynamic analysis in time domain. Initial, computational mechanics analyses suggest that vehicles tend to retain larger amount of their kinetic energy after traversing street curbs. It is therefore dangerous to consider street curbs as functioning similarly to guardrails. Smaller vehicles, impacting street curbs at shallow angles, appear to be also dangerous.
机译:在一个密集的城市环境中,错误的车辆可能对行人,骑自行车的人,甚至司机的邻近的交通构成严重威胁。初步研究表明,街道遏制不提供任何有意义的防止错误的车辆,即使以小的速度和浅角度也可以轻松地横穿街道路线。本文提出了研究的研究结果,其中利用计算力学来预测遍历佛罗里达州点街路边的标准轨迹。使用LS-DYNA计算机代码和两个公共领域进行计算分析,机动车的有限元模型:福特Festiva和Ford Taurus。评估原始车辆模型的悬架系统,并鉴定并开发了另外的所需悬浮液组分。所需悬架系统的有限元模型是使用从实际悬架部件的几何形状创建的,使用数字化臂捕获。由于这些部件的复杂几何形状,MSC-Patran预处理器用于为LS-Dyna代码创建数据。使用离散春季和阻尼元件进行建模减震器。经过精心设计的改进悬架系统的连接,以确保悬架模型的适当运动范围。使用倾斜表测试收集实际车辆的惯性性质,并用于LS-DYNA车辆模型。使用刚性墙壁和壳体元件的组合开发了标准电器街道凝视模型。使用非线性有限元代码LS-DYNA对两个车型进行初始轨迹分析。在LS-DYNA中实现的明确有限差分算法用于在时域进行动态分析。初始化的计算力学分析表明,在遍历街道路边后,车辆倾向于保留更多的动能。因此,认为街道遏制与守护者类似地运作是危险的。较小的车辆,影响街道静脉曲的街道静脉曲张,似乎也是危险的。

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