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龙门山变质岩微结构特征与工程力学性质相关性研究

Microstructure Characteristics and Engineering Mechanics of Metamorphic Rocks in Longmen Mountain Research on Nature Correlation

【作者】 苏斌

【导师】 吴光;

【作者基本信息】 西南交通大学 , 地质工程(专业学位), 2020, 硕士

【摘要】 在工程力学活动中,需要依靠自己在试验中所得到的参数来确立自己想要建立的地质力学系统来分析问题,但是由于在野外取样非常多,运输不便,在取样相对较少的情况下如何得到岩石的强度就是本文将要解决的问题。本文作者通过微观的参数来预测岩石的强度,本文在研究中所做的工作如下:(1)将野外采集的岩样进行薄片制取,在实验室中将薄片用显微镜观察并拍照获取薄片的图像,使用IPP软件将微观图像进行批量处理分析,从微观图像中提取微观参数。(2)室内宏观力学试验(单轴抗压试验,干密度测量实验,孔隙度测量试验),得到宏观力学性质参数。(3)将微观特征参数与宏观力学性质参数进行一元回归处理分析,得到各个不同参数之间的一元线性回归模型,各个参数之间的回归关系,分析出微观参数与宏观力学性质参数之间相对关系较好的优势因素。(4)利用数学手段(灰色关联度与多元回归)对数据进行分析,使用关联度分析对一元线性回归模型进行验证,分析出优势因素,将宏观参数与微观参数进行多元线性回归,拟合公式。

【Abstract】 In engineering mechanics activities,you need to rely on the parameters you have obtained in the experiment to establish the geomechanical system you want to establish to analyze the problem,but because there are so many samples in the field,the transportation is inconvenient,how to do when the sampling is relatively small Obtaining the strength of the rock is the problem to be solved in this article.The author of this paper uses microscopic parameters to predict the strength of the rock.The work done in this study is as follows:(1)Prepare thin slices of rock samples collected in the field,observe the slices with a microscope and take pictures in the laboratory to obtain slice images,use IPP software to batch process and analyze the microscopic images,and extract the microscopic parameters from the microscopic images.(2)Indoor macro-mechanical test(uniaxial compression test,dry density measurement test,porosity measurement test)to obtain macro mechanical property parameters.(3)Perform univariate regression analysis on the micro-characteristic parameters and macro-mechanical property parameters to obtain a univariate linear regression model between different parameters.The regression relationship between each parameter analyzes the relative relationship between micro-parameters and macro-mechanical property parameters Advantage factor with better relationship.(4)Use mathematical methods(gray correlation and multiple regression)to analyze the data,and use correlation analysis to verify the univariate linear regression model,analyze the dominant factors,perform multiple linear regression on the macro and micro parameters,and fit the formula.

  • 【分类号】TU45;P642
  • 【下载频次】76
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