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A modified Johnson–Cook model for 7N01 aluminum alloy under dynamic condition 被引量:10
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作者 张一犇 姚松 +1 位作者 洪翔 王中钢 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第11期2550-2555,共6页
Tensile tests at different strain rates(0.0002, 0.002, 0.02, 1000 and 3000 s^(-1)) were carried out for 7N01 aluminum alloy. Low strain rate experiments(0.0002, 0.002 and 0.02 s^(-1)) were conducted using an electroni... Tensile tests at different strain rates(0.0002, 0.002, 0.02, 1000 and 3000 s^(-1)) were carried out for 7N01 aluminum alloy. Low strain rate experiments(0.0002, 0.002 and 0.02 s^(-1)) were conducted using an electronic mechanical universal testing machine, while high strain rate experiments(1000, 3000 s^(-1)) were carried out through a split Hopkinson tensile bar. The experimental results showed that 7N01 aluminum alloy is strain rate sensitive. By introducing a correction scheme of the strain rate hardening coefficient, a modified Johnson–Cook model was proposed to describe the flow behaviors of 7N01 aluminum alloy. The proposed model fitted the experimental data better than the original Johnson–Cook model in plastic flow under dynamic condition. Numerical simulations of the dynamic tensile tests were performed using ABAQUS with the modified Johnson–Cook model. Digital image correlation was used together with high-speed photography to study the mechanical characters of specimen at high strain rate. Good correlations between the experiments results, numerical predictions and DIC results are achieved. High accuracy of the modified Johnson-Cook model was validated. 展开更多
关键词 aluminum alloy CONSTITUTIVE RELATION MODIFIED Johnson–Cook MODEL high strain rate digital image correlation FINITE element analysis
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智能材料与汽车结构健康监测 被引量:2
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作者 李立军 孙凌玉 +2 位作者 黄彬城 褚艳涛 张一犇 《汽车技术》 CSCD 北大核心 2018年第5期46-52,共7页
为提高汽车的安全性能和智能化水平,从力学特性、传感特性和驱动特性等角度对形状记忆材料、碳纳米管复合材料、压电材料和磁流变弹性体材料等智能材料进行了分析,重点探讨了智能材料在汽车领域中的应用,总结了关键科学和技术问题,提出... 为提高汽车的安全性能和智能化水平,从力学特性、传感特性和驱动特性等角度对形状记忆材料、碳纳米管复合材料、压电材料和磁流变弹性体材料等智能材料进行了分析,重点探讨了智能材料在汽车领域中的应用,总结了关键科学和技术问题,提出了智能材料在汽车结构健康监测中应用的发展方向。 展开更多
关键词 智能材料 汽车安全 结构健康监测 损伤 自传感
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