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Factors affecting loess analysis
Author: XingZuoXiu
Tutor: ChenZhiXin
School: Chang'an University
Course: Geological Engineering
Keywords: Loess Collapsible Microstructure Clay content Secondary collapsible Regression Analysis Fuzzy Mathematics
CLC: P642.131
Type: Master's thesis
Year: 2004
Downloads: 528
Quote: 12
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Abstract
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Loess as foundation for all types of construction projects have a long history. The loess problem , has been a typical loess area engineering geological problems , loess collapsibility its distribution area construction activities often cause great harm to the engineering and construction devastating . To prevent and reduce collapsibility of harm , to ascertain causes of collapsible loess is very important . Therefore, on the need for loess collapsibility for further analysis . In the previous work done by the foundation , the paper by participating in the development of transportation \collapsible quantitative analysis of its regularity. First, in the four areas targeted sampling , loess samples were collected more than 150 groups. Carried out in the laboratory routine , Granule , collapsible , two collapsible test results in the area of law and the changing nature of loess collapsibility coefficient and the relationship between the physical and mechanical properties . Meanwhile , the use of scanning electron microscopy loess microstructure framework grains and cements species composition and research, discuss loess collapsibility and microstructure relationships . Secondly, the mineral composition of loess were carried out semi-quantitative X-ray diffraction analysis and representative soil samples soluble salt content and composition , insoluble salts (CaC0 3 ) content test analysis, study their effects on loess injury. Finally, a comprehensive analysis of the various factors at the same time , the distinction between the main and secondary factors influencing factors, a comprehensive analysis of qualitative and quantitative analysis method of combining , with the right collapsible independent factors significantly affected by multiple linear regression and fuzzy mathematics method of expression, collapsible coefficient establish a quantitative relationship between them and to determine its impact on the most significant factors , analyze their credibility. Quantitative Models for non- saturated loess constitutive pioneering research direction , as well as the regular use of some easy to measure physical indicators evaluated loess wet basis .
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CLC: > Astronomy,Earth Sciences > Geology > Hydrogeology and Engineering Geology > Engineering Geology > Soil science > Special soil > Loess
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