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首页> 外文期刊>EPJ Web of Conferences >Large Deformation Behavior of High Strength Steel Under Extreme Loading Conditions: High Temperature and High Strain Rate Experiments and Modeling
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Large Deformation Behavior of High Strength Steel Under Extreme Loading Conditions: High Temperature and High Strain Rate Experiments and Modeling

机译:高强度钢在极端载荷条件下的大变形行为:高温高应变率实验和建模

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Plasticity and fracture experiments are carried out on flat smooth and notched tensile specimens extracted from DP800 steel sheets. A split Hopkinson pressure bar testing system equipped with a load inversion device is utilized to reach high strain rates. Temperature dependent experiments ranging from 20°C to 300°C are performed at quasi-static strain rates. The material exposes a monotonic strain hardening behaviour with a non-monotonic temperature dependency. The rate-independent material behaviour at room-temperature is described with a non-associated Hill’48 plasticity model and an Swift-Voce strain hardening. A machine learning based model is used multiplicatively to capture the rate and temperature responses. A good agreement between measured and simulated force-displacement curves as well as local surface is obtained. The loading paths to fracture are then extracted to facilitate further development of a temperature dependent fracture initiation model.
机译:在从DP800钢板上提取的光滑且有缺口的拉伸试样上进行了塑性和断裂实验。装有负载反向装置的分体式霍普金森压力棒测试系统用于达到高应变率。在准静态应变速率下进行20°C至300°C的温度相关实验。该材料暴露出具有非单调温度依赖性的单调应变硬化行为。用非关联的Hill'48塑性模型和Swift-Voce应变硬化描述了室温下与速率无关的材料行为。基于机器学习的模型被乘以捕获速率和温度响应。测量和模拟的力-位移曲线以及局部表面之间获得了良好的一致性。然后提取到裂缝的载荷路径,以促进与温度相关的裂缝起始模型的进一步发展。

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