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论文中文题名:

 基于改进型的k-means聚类算法的冻融岩石CT图像内容识别及损伤分析    

姓名:

 张雪娇    

学号:

 201302045    

学科代码:

 080102    

学科名称:

 固体力学    

学生类型:

 硕士    

学位年度:

 2016    

院系:

 理学院    

专业:

 固体力学    

第一导师姓名:

 张嘉凡    

论文外文题名:

 The Research of Freeze-Thaw Rock Damage Characteristics Based on a Modified k-means Clustering Algorithm    

论文中文关键词:

 岩石 ; 冻融循环 ; 损伤演化 ; 聚类分析    

论文外文关键词:

 Rock ; Freeze-thaw cycles ; Damage evolution ; Clustering analysis    

论文中文摘要:
寒区工程常年发生各种工程问题甚至灾害,其中冻融循环作用是引发工程结构受损的主要原因。由于岩石是一种天然损伤材料,且具有相当复杂的非线性特征,从一般研究方法或决定论角度出发分析和解决岩石冻融循环损伤问题是十分困难的。于是本文从唯象学角度出发,以试验研究为基础,采用CT扫描图像分析与统计损伤理论相结合的方法,系统地研究了岩石在不同冻融循环次数下的物理特性以及损伤演化规律,为寒区岩土工程稳定性评价提了供理论基础。 将工程现场获取的新鲜红砂岩岩块,加工制为标准岩石试件;针对标准试件进行不同冻融循环次数试验;采用CT扫描技术对冻融0次,5次,10次,20次,40次数下的岩样进行扫描;针对原始CT扫描图像,先采用中值滤波技术进行减噪预处理,再应用一种结合了灰度直方图以及模糊识别的改进型k-means聚类分析算法对预处理后的扫描图像进行归类识别。 以冻融岩石CT扫描图像聚类识别后的数据为基础,从宏观损伤力学角度出发,引入以有效承载区折减概念为基础的损伤变量,结合数据概率分布特点,验证得出新损伤变量服从以冻融循环次数为变量的威布尔分布,同时结合分布参数拟合结果,表明岩石受冻融循环作用所发生的损伤破坏为一类耗损型失效事件,岩样损伤分布具有顶底大,中间小的特征。 结合冻融岩石试验结果以及岩石冻融损伤特性分析,认为以冻融岩石CT扫描图像为损伤研究对象,采用统计分析手段建立损伤演化模型具有可行性和合理性,且该研究手段具有无损、简易等操作特点,对相关研究亦具有借鉴意义。
论文外文摘要:
A variety of engineering problems, and even disasters, always have happened in Cold regions among which, the freeze-thaw cycle effect is the main reason of engineering structure damage. Because the rock is a kind of natural damage material, and it has very complex nonlinear characteristics, it’s very difficult to analyze and solve the problem of freeze-thaw cycle with the angle of the general research methods or determinism. So this paper embarks from the phenomenological perspective, based on the experimental study, using the method of combining CT scanning image analysis with statistical damage theory, systematically studied the mechanical properties of rock under different freeze-thaw cycles and the damage evolution rule. The fresh red sandstone rock was obtained from the engineering field and processed into standard test specimen, and carried out different freeze-thaw cycles experiment in view of the test specimen; using CT scan technology to scan the rock that under 0,5,10,20,40 times of freeze-thaw progressing; In view of the original CT scan images, first, the median filtering technology was adopted as the noise reduce pretreatment, then, a kind of improved k-means clustering algorithm that combining histogram with fuzzy recognition was applicated to classify and recognize the content of the pretreated scanning images. Based on the data that come out from CT scanning image’s clustering analysis, from the macro damage mechanics perspective, the damage variable that based on effective load bearing area reduction concept was introduced, combining with the data distribution characteristics, verified that the new damage variable obey the Weibull distribution which use freeze-thaw cycle as the variable, meanwhile analysis by combining the distribution parameters with the rock actual damage, indicate that the rocks’ injuring under the effect of freezing and thawing is a loss type failure event, and the damage distribution of rock samples having the features of large at top and end part and small at middle part. Analyzing by combining the results of freezing and thawing rock test with rock freezing and thawing damage characteristics, think that take the freeze-thaw rock CT scan images as the damage object of study, and using statistical analysis tools to establish damage evolution model is a feasible and reasonable method, and the methods has the characteristics of non-destructive and simple, also has reference significance to the related research.
中图分类号:

 TU45    

开放日期:

 2016-06-20    

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