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Determining the material parameters of a polyurethane foam with a differential ant-stigmergy algorithm

机译:用差分蚁群算法确定聚氨酯泡沫的材料参数

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In the event of a crash involving a motor vehicle, a car seat with its backrest and head supportrncan increase the level of passenger safety. However, the filling material used in the seat andrnthe head support should absorb a large proportion of the kinetic energy associated with thernmoving passenger during the crash. This filling material is usually made of polyurethane foam.rnTo simulate the behaviour of the seat assembly during a crash the material characteristics ofrnthe seat-filling foam should be appropriately modelled. For this purpose, a low-density-foamrnmaterial model was developed for the finite element analysis. The paper will present anrninnovative method for estimating the parameters of the low-density-foam material model thatrnis based on a differential ant-stigmergy algorithm. First the differential ant-stigmergyrnalgorithm will be described, which will be followed by its application on the real case. Thernresults will be discussed and the field of application will be presented.
机译:万一发生汽车碰撞事故,带有靠背和头部支撑装置的汽车座椅可以提高乘客的安全水平。然而,在碰撞过程中,座椅和头枕中使用的填充材料应吸收与移动乘客相关的动能的很大一部分。这种填充材料通常由聚氨酯泡沫制成。为了模拟座椅组件在碰撞过程中的行为,应适当模拟座椅填充泡沫的材料特性。为此,开发了一种低密度泡沫材料模型用于有限元分析。本文将提出一种创新的方法,用于基于差分蚁群算法估算低密度泡沫材料模型的参数。首先将描述差分蚂蚁-stigmergyrn算法,然后将其应用于实际情况。将讨论结果,并介绍应用领域。

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