首页> 外文学位 >Application of 2-D Digital Image Correlation (DIC) method to Damage Characterization of Cementitious Composites under Dynamic Tensile Loads.
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Application of 2-D Digital Image Correlation (DIC) method to Damage Characterization of Cementitious Composites under Dynamic Tensile Loads.

机译:二维数字图像相关(DIC)方法在动态拉伸载荷下水泥基复合材料损伤特征的应用。

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摘要

The main objective of this study is to investigate the mechanical behaviour of cementitious based composites subjected dynamic tensile loading, with effects of strain rate, temperature, addition of short fibres etc. Fabric pullout model and tension stiffening model based on finite difference model, previously developed at Arizona State University were used to help study the bonding mechanism between fibre and matrix, and the phenomenon of tension stiffening due to the addition of fibres and textiles. Uniaxial tension tests were conducted on strain-hardening cement-based composites (SHCC), textile reinforced concrete (TRC) with and without addition of short fibres, at the strain rates ranging from 25 s-1 to 100 s-1. Historical data on quasi-static tests of same materials were used to demonstrate the effects including increases in average tensile strength, strain capacity, work-to-fracture due to high strain rate. Polyvinyl alcohol (PVA), glass, polypropylene were employed as reinforcements of concrete. A state-of-the-art phantom v7 high speed camera was setup to record the video at frame rate of 10,000 fps. Random speckle pattern of texture style was made on the surface of specimens for image analysis. An optical non-contacting deformation measurement technique referred to as digital image correlation (DIC) method was used to conduct the image analysis by means of tracking the displacement field through comparison between the reference image and deformed images. DIC successfully obtained full-filed strain distribution, strain versus time responses, demonstrated the bonding mechanism from perspective of strain field, and corrected the stress-strain responses.
机译:这项研究的主要目的是研究水泥基复合材料在动态拉伸载荷下的力学行为,并受应变率,温度,短纤维添加等的影响。基于有限差分模型的织物拉拔模型和拉伸硬化模型,先前已开发亚利桑那州立大学的研究人员用来帮助研究纤维与基体之间的粘合机理,以及由于添加纤维和纺织品而引起的张力变硬现象。在应变速率为25 s-1到100 s-1的情况下,在应变硬化水泥基复合材料(SHCC),纺织增强混凝土(TRC)中添加和不添加短纤维进行了单轴拉伸测试。使用相同材料的准静态测试的历史数据来证明其影响,包括由于高应变率而导致的平均抗拉强度,应变能力和断裂功的增加。聚乙烯醇(PVA),玻璃,聚丙烯被用作混凝土的增强材料。设置了最先进的phantom v7高速相机,以10,000 fps的帧率录制视频。在样品表面上制成纹理样式的随机斑点图案以进行图像分析。使用光学非接触形变测量技术,称为数字图像相关(DIC)方法,通过比较参考图像和变形图像来跟踪位移场,从而进行图像分析。 DIC成功获得了完整的应变分布,应变与时间响应,从应变场的角度展示了键合机理,并校正了应力-应变响应。

著录项

  • 作者

    Yao, Yiming.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Engineering Civil.
  • 学位 M.S.
  • 年度 2013
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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