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Microstructural Analysis and EBSD Applications in Earth Sciences

Microstructural Analysis and EBSD Applications in Earth Sciences
微观结构分析和 EBSD 在地球科学中的应用
批准号:
1406054
负责人:
Mary Leech
金额:
$1.58万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-12-01 至 2014-11-30

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中文摘要
翻译
该项目支持学生和早期职业研究人员参加将在旧金山州立大学举办的“微结构分析和EBSD在地球科学中的应用”短期课程。该短期课程将简要介绍一种独特的数学方法,用于分析整体X射线、中子或同步加速器衍射极强度数据以及来自电子背散射衍射(EBSD)、冰布分析器或光学万能平台的个人取向数据,并提供Windows/Mac/Linux系统的动手练习,应用免费和开放的MatLab工具箱MTEX进行织构分析。具体地,取向分布函数及其属性的估计,例如,调和系数、体积部分、纹理指数、熵、各向异性属性的计算。从不同类型的数据和EBSD数据的颗粒重建将包括在内。美国从来没有开设过MTEX研讨会。研讨会的参与者将在专家的指导下离开研讨会,并将能够立即开始使用MTEX。定量微结构分析在地球科学的许多领域中越来越重要,例如,构造地质学、实验岩石变形和地震学。尤其是EBSD的更广泛的可用性,为研究人员提供了更大、更复杂的数据来分析。对下一代进行此类分析所需的软件工具的培训至关重要。
英文摘要
This project supports participation of students and early career researchers in a short course "Microstructural Analysis and EBSD Applications in Earth Sciences" to be held at San Francisco State University. The short course will provide a brief introduction to a unique mathematical approach to analyze integral X-ray, neutron or synchrotron diffraction pole intensity data as well as individual orientation data from electron backscatter diffraction (EBSD), Ice Fabric Analyzer or optical universal stage, and hands-on exercises with Windows/Mac/Linux systems applying the free and open MATLAB toolbox MTEX for texture analysis. In particular, estimation of an orientation distribution function and its properties as harmonic coefficients, volume portions, texture index, entropy, calculation of anisotropic properties, for example,. from the different kinds of data and grain reconstruction from EBSD data will be included. An MTEX workshop has never been offered in the U.S. Workshop participants will leave the workshop with some preliminary results from practical sessions under expert instruction and will be able to immediately start using MTEX.Quantitative microstructural analysis is an increasingly important aspect of many fields in the earth sciences including structural geology, experimental rock deformation, and seismology, for example. The wider availability of EBSD, in particular, presents researchers with much larger and more complex data to analyze. Training the next generation in the software tools necessary for such analysis is critical.
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