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A study of test and statistical damage constitutive model of multi-size polypropylene fiber concrete under impact load

机译:碰撞载荷下多尺寸聚丙烯纤维混凝土试验及统计损伤本构模型研究

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摘要

To investigate the effects of mixing polypropylene fiber of different sizes and the effect of fiber size on the impact characteristics of concrete, two sizes of polypropylene fine fiber and one size of polypropylene coarse fiber were selected to design and fabricate nine groups of polypropylene fiber-reinforced concrete test specimens by controlling the fiber mixing ratio and conducting a split Hopkinson pressure bar test to obtain the stress-strain curves of the test specimens in various groups, and their parameters such as the elasticity modulus, peak strength, and peak strain. The incorporation of fiber improved the pre-peak impact properties of concrete to different extents. Strain hardening did not occur in the post-peak curves, and different types of fibers exhibited different characteristics. Thus, the fine fiber could significantly improve the peak strain, while the coarse fiber could more significantly improve the elasticity modulus and peak strength. The improving effects exerted by incorporating three types of fiber were better than those exerted by incorporating two types of fiber. Moreover, the statistical damage model was used to obtain the parameters by fitting and analyzing their variation rules based on the statistical damage constitutive model and the particle swarm optimization algorithm.
机译:为了探讨不同尺寸的聚丙烯纤维的混合聚丙烯纤维的影响和纤维尺寸对混凝土冲击特性的影响,选择了两种聚丙烯细纤维和一种尺寸的聚丙烯粗纤维,设计和制造九组聚丙烯纤维增强通过控制纤维混合比并进行分裂霍普金森压力杆试验的具体试验,以获得各种组中试样的应力 - 应变曲线,以及它们的弹性模量,峰强度和峰应变的参数。掺入纤维的掺入改善了混凝土的预峰值冲击性能到不同的范围。在后峰曲线中不会发生应变硬化,不同类型的纤维表现出不同的特性。因此,细纤维可以显着改善峰应变,而粗纤维可以更显着提高弹性模量和峰强度。通过掺入三种类型的纤维施加的改善效果优于通过掺入两种类型的纤维施加的效果。此外,使用基于统计损伤本构模型和粒子群优化算法来使用统计损伤模型来获得参数和分析它们的变化规则。

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