›› 2009, Vol. 30 ›› Issue (9): 2741-2746.

• Geotechnical Engineering • Previous Articles     Next Articles

Relationships between microstructure parameters and wind erosion rate of multivariate layered soil in slope

CUI Kai1, 2, CHEN Wen-wu1, 2, ZHANG Jing-ke1, 2, HAN Wen-feng1, 3, LIANG Shou-yun1, 2   

  1. 1. Key Laboratory of Mechanics on Disaster and Environment in Western China Ministry of Education, Lanzhou University, Lanzhou 730000, China; 2. School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 73000, China; 3. Tianjin Institute of Urban Construction, Tianjin 300384, China
  • Received:2009-02-10 Online:2009-09-10 Published:2010-03-24

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Abstract:

Because of the wind erosion, the empty cavity phenomenon is formed, which shows different soils have different abilities of resisting wind erosion at the mesa of Jiaohe ancient city, Turpan. The ability of resisting wind erosion is the results of many factors in which the microstructure is the important inner factor. Wind erosion rate is an important physical quantity of showing soil’s abilities of resisting wind erosion. The experiment of wind tunnel and the microstructure analysis are applied to reveal better corresponding relationships between wind erosion rate and microstructure indexes, such as particle area ratio particle roundness, equal diameter of pore and filling ratio of pore. Furthermore, by adopting related analysis methods, better related relationships between wind erosion rate and the indexes of all characteristics are analyzed and approved. Through regression analysis method, the regression equations between the three kinds of wind erosion rates and odd index, even multi-index are built; and the microstructure characters which have notable influence on the ability of resisting wind erosion of soils are validated. Above results also provide micro basis for wind erosion evaluation of soils.

Key words: multivariate layered soil, ability of resisting wind erosion, wind erosion rate, parameter of microstructure character, regression analysis

CLC Number: 

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