STUDY OF GRAVEL-SOIL GRADATION CHARACTERISTICS INFLUENCE ON THE PERMEABILITY COEFFICIENT
WANG Shuang1，LI Xiaochun1，WANG Shaoquan2，SHI Lu1，CUI Yingxiang1，CHEN Quan1
(1. State Key Laboratory of Geomechanics and Geotechnical Engineering，Institute of Rock and Soil Mechanics，Chinese Academy of Sciences，Wuhan，Hubei 430071，China；2. Northern Engineering and Technology Corporation， Metallurgical Corporation of China，Dalian，Liaoning 116622，China)
Abstract：Based on neural network method，the influence of gravel-soil gradation on permeability coefficient was studied. Obtaining 92 groups seepage test data of gravel-soil，a neural network was trained and tested. Based on this neural network，permeability coefficient of gravel-soil was predicted and compared by full gradation(d10–dmax，all particle size) and a few gradation character respectively. Then mean impact value method was used to analyze the influence of each particle size on the permeability coefficient，and the degree of influence was given. At last，the reliability of the above analysis was verified by a set of laboratory test. The following conclusions were obtained：the permeability coefficient of gravel-soil predicted by full grade can be more accurate，while with great uncertainty by one or a few gradation character. There are limitations in the application of current empirical formulas. d10 is the key grain，which is different from coarse particle soli generally with d20 the key particle size. Coefficient permeability of gravel-soil decreases with the increase of dmax，coarse particles play an important role in the control of permeability coefficient. d50 is the boundary particle size，increasing the particle size below or above d50，the permeability coefficient will increase or decrease correspondingly.
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2015, Vol. 34 
