基于Matlab对强夯法处理黄土湿陷性的微观结构研究
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摘要
黄土的湿陷性与其微观结构有极大关系,土体的物理力学性状也很大程度上受其微观结构影响。针对湿陷性黄土微观研究中的问题,对山西省平阳高速中强夯法处理湿陷性黄土进行微观层面上的定性和定量分析。从土样提取与制备到SEM图像扫描,开展了详实的探讨。针对SEM图像的特征及其处理过程中存在的问题,使用Matlab对图像预处理中去除亮度差异背景,对比度增强,降噪做了对比分析,通过预处理可以对图像信息在采集阶段较为精确地进行统计计算分析,对比分析了强夯前后的孔隙数量及面积分布、定向特征、形状特征等参数,对土体SEM图像处理和强夯法消除湿陷性机理做较为深入的探讨,为工程建设提供参考依据。
Collapsibility of loess is related to its microstructure.The physical and mechanical properties of soil are influenced by its microstructure to a large extent.For the problem of collapsibility of loess in microscopic study,we did the qualitative and quantitative analyses of collapsible loess at a microscopic level.The samples that underwent dynamic compaction were taken from Pingyang Highway in Shanxi.Extraction and preparation of soil samples were introduced and scanning electron microscope(SEM) images were obtained.For the features and problems found in the SEM images processing,we applied Matlab for comparative analysis of removal of background brightness difference,contrast enhancement and noise reduction in image processing.The image preprocessing helped for more accurate statistical calculation during the image information acquisition process.Comparing characteristics of pore size and size distribution,directional and shape parameters before and after the dynamic compaction,we further discuss the SEM image processing and the mechanism that uses dynamic consolidation method to remove collapsibility,attempting to provide a reference for engineering construction.
Collapsibility of loess is related to its microstructure.The physical and mechanical properties of soil are influenced by its microstructure to a large extent.For the problem of collapsibility of loess in microscopic study,we did the qualitative and quantitative analyses of collapsible loess at a microscopic level.The samples that underwent dynamic compaction were taken from Pingyang Highway in Shanxi.Extraction and preparation of soil samples were introduced and scanning electron microscope(SEM) images were obtained.For the features and problems found in the SEM images processing,we applied Matlab for comparative analysis of removal of background brightness difference,contrast enhancement and noise reduction in image processing.The image preprocessing helped for more accurate statistical calculation during the image information acquisition process.Comparing characteristics of pore size and size distribution,directional and shape parameters before and after the dynamic compaction,we further discuss the SEM image processing and the mechanism that uses dynamic consolidation method to remove collapsibility,attempting to provide a reference for engineering construction.
引文
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[11]王明泉,冯晓夏,梁君婷.基于直方图均衡的射线图像增强算法[J].中国科技论文在线,2011,6(1):67-70.Wang Mingquan,Feng Xiaoxia,Liang Junting.Algo-rithm of radiographic image enhancement based on His-togram Equalization[J].China Sciencepaper Online,2011,6(1):67-70.(in Chinese)
[12]谷天峰,王家鼎,郭乐,等.基于图像处理的Q 3黄土的微观结构变化研究[J].岩石力学与工程学报,2011,30(1):3185-3192.Gu Tianfeng,Wang Jiading,Guo Le,et al.Study of Q 3 loess microstructure changes based on image pro-cessing[J].Chinese Journal of Rock Mechanics and En-gineering,2011,30(1):3185-3192.(in Chinese)
[13]Gonzalez R C,Woods R E,Eddins S L.数字图像处理(MATLAB版)[M].阮秋琦,译.北京:电子工业出版社,2005.Gonzalez R C,Woods R E,Eddins S L.Digital ImageProcessing(MATLAB)[M].Ruan Qiuqi,Trans.Bei-Jing:Publishing House of electronics industry,2005.(in Chinese)
[14]王朗,钱晓华,李英道.基于图像模式特征放大的图像分割算法[J].中国科技论文,2012,7(7):556-559.Wang Lang,Qian Xiaohua,Li Yingdao.An algorithms of image segmentation based on pattern feature amplifi-cation[J].China Sciencepaper,2012,7(7):556-559.(in Chinese)
[15]王梅,杜建安,白晓红.黄土湿陷性质的微观研究[J].科技情报开发与经济,2001,11(1):75-76.Wang Mei,Du Jianan,Bai Xiaohong.Micro-examina-tion on collapse property of loess[J].Tech Inform Dev Econ,2001,11(1):75-76.(in Chinese)
[16]徐清浩.数字图像分析程序在土的微观结构中的应用以及数据分析[D].太原:太原理工大学,2008.Xu Qinghao.Application of Image Analysis Technologyon Soil Microstructure Study and Data Analysis[D].Taiyuan:Taiyuan University of Technology,2008.(in Chinese)
[17]张济忠.分形[M].北京:清华大学出版社,2011.Zhang Jizhong.Fractal[M].Beijing:Tsinghua Uni-versity Press,2011.(in Chinese)
[2]王立朝,胡瑞林,李耀刚,等.强夯法加固填土地基的现场试验与微观结构分析[J].岩土力学,2004,25(11):1832-1836.Wang Lichao,Hu Ruilin,Li Yaogang.Field test of dy-namic compaction for reinforce filled ground and its mi-crostructural analysis[J].Rock Soil Mech,2004,25(11):1832-1836.(in Chinese)
[3]邢玉东.辽宁西部湿陷性黄土特性与处治技术研究[D].沈阳:东北大学,2008.Xing Yudong.Research on Engineering Characteristic of Collapsible Loess and Subgrade Treatment Techniquein West Area of Liaoning[D].Shenyang:Northeastern University,2008.(in Chinese)
[4]杨为名.强夯后高饱和度地基土工程特性的试验研究及其本构模型[D].北京:中国地质大学,2002.Yang Weiming.The Experimental Study on Engineer-ing Characteristic of the Soil with High Saturated De-gree after Dynamic Consolidation and the Soil’s Consti-tutive Model[D].Beijing:China University of Geosci-ences,2008.(in Chinese)
[5]毛灵涛,薛茹,安里千.MATLAB在微观结构SEM图像定量分析中的应用[J].电子显微学报,2004,23(5):579-583.Mao Lintao,Xue Ru,An Liqian.MATLAB application in quantitative microstructure SEM image[J].J Chin Electron Microsc Soc,2004,23(5):579-583.(in Chi-nese)
[6]郭小云,王敏,闫嘉庆,等.灰土挤密桩法和强夯法处理湿陷性黄土地基的效果对比[J].施工技术,2012,374(41):68-71.Guo Xiaoyun,Wang Min,Yan Jiaqing,et al.Compari-son of effect of lime-soil compaction pile and dynamic consolidation method to improve collapsible loess ground[J].Construct Tech,2012,374(41):68-71.(in Chinese)
[7]王梅,白晓红,杨晶,等.湿陷性黄土微观结构分析的试样制备[J].太原理工大学学报,2010,41(3):283-286.Wang Mei,Bai Xiaohong,Yang Jing,et al.Method ofspecimen preparation for collapsible loess microstruc-ture research[J].J Taiyuan Univ Tech,2010,41(3):283-286.(in Chinese)
[8]刘红玫.黄土孔隙微结构的计算机图像处理分析方法[J].高原地震,1999,11(3):44-48.Liu Hongmei.Analysis of microstructure of loess po-rosity in computer image processing[J].EarthquakeRes Plateau,1999,11(3):44-48.(in Chinese)
[9]徐清浩,赵轶,樊杰.浅谈图像分析技术在土的微观结构研究中的应用[J].科学之友,2008,2(2):147-148.Xu Qinghao,Zhao Yi,Fan Jie.Application of picture analyse technology in soil microcosmic composition re-search[J].Friend Sci Amat,2008,2(2):147-148.(in Chinese)
[10]张德丰.MATLAB数字图像处理[M].2版.北京:机械工业出版社,2012.Zhang Fengde.MATLAB Digital Image Processing[M].2nd ed.Beijing:China Machine Press,2012.(in Chinese)
[11]王明泉,冯晓夏,梁君婷.基于直方图均衡的射线图像增强算法[J].中国科技论文在线,2011,6(1):67-70.Wang Mingquan,Feng Xiaoxia,Liang Junting.Algo-rithm of radiographic image enhancement based on His-togram Equalization[J].China Sciencepaper Online,2011,6(1):67-70.(in Chinese)
[12]谷天峰,王家鼎,郭乐,等.基于图像处理的Q 3黄土的微观结构变化研究[J].岩石力学与工程学报,2011,30(1):3185-3192.Gu Tianfeng,Wang Jiading,Guo Le,et al.Study of Q 3 loess microstructure changes based on image pro-cessing[J].Chinese Journal of Rock Mechanics and En-gineering,2011,30(1):3185-3192.(in Chinese)
[13]Gonzalez R C,Woods R E,Eddins S L.数字图像处理(MATLAB版)[M].阮秋琦,译.北京:电子工业出版社,2005.Gonzalez R C,Woods R E,Eddins S L.Digital ImageProcessing(MATLAB)[M].Ruan Qiuqi,Trans.Bei-Jing:Publishing House of electronics industry,2005.(in Chinese)
[14]王朗,钱晓华,李英道.基于图像模式特征放大的图像分割算法[J].中国科技论文,2012,7(7):556-559.Wang Lang,Qian Xiaohua,Li Yingdao.An algorithms of image segmentation based on pattern feature amplifi-cation[J].China Sciencepaper,2012,7(7):556-559.(in Chinese)
[15]王梅,杜建安,白晓红.黄土湿陷性质的微观研究[J].科技情报开发与经济,2001,11(1):75-76.Wang Mei,Du Jianan,Bai Xiaohong.Micro-examina-tion on collapse property of loess[J].Tech Inform Dev Econ,2001,11(1):75-76.(in Chinese)
[16]徐清浩.数字图像分析程序在土的微观结构中的应用以及数据分析[D].太原:太原理工大学,2008.Xu Qinghao.Application of Image Analysis Technologyon Soil Microstructure Study and Data Analysis[D].Taiyuan:Taiyuan University of Technology,2008.(in Chinese)
[17]张济忠.分形[M].北京:清华大学出版社,2011.Zhang Jizhong.Fractal[M].Beijing:Tsinghua Uni-versity Press,2011.(in Chinese)
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