scholarly journals Assessment of the Internal Instability for Granular Soils Subjected to Seepage

2016 ◽  
Vol 04 (06) ◽  
pp. 46-55 ◽  
Author(s):  
Marx Ferdinand Ahlinhan ◽  
Marius Bocco Koube ◽  
Codjo Edmond Adjovi
Keyword(s):  
Granular Soils ◽  
Internal Instability

Similarity of internal stability criteria for granular soils

1992 ◽  
Vol 29 (4) ◽  
pp. 711-713 ◽  
Author(s):  
Robert P. Chapuis
Keyword(s):  
Grain Size ◽  
Groundwater Flow ◽  
Distribution Curve ◽  
Fine Particles ◽  
Frost Damage ◽  
Granular Soils ◽  
Internal Stability ◽  
Stability Criteria ◽  
Mathematical Expressions ◽  
Internal Instability

Internal instability produces segregation in fine particles, modifies drainage properties, and increases pore pressures, capillary retention, and possible frost damage. Three criteria are commonly used to assess the internal instability of granular soils. It is shown here that they can take similar mathematical expressions where the secant slope of the grain-size distribution curve indicates the risk of internal instability. Key words : suffossion, groundwater flow, gradation.

scholarly journals Quantifying and modelling fabric anisotropy of granular soils

Géotechnique ◽  
2008 ◽  
Vol 58 (4) ◽  
pp. 237-248 ◽  
Author(s):  
Z. X. Yang ◽  
X. S. Li ◽  
J. Yang
Keyword(s):  
Granular Soils ◽  
Fabric Anisotropy

Filtration behaviour of granular soils under cyclic load

Géotechnique ◽  
2008 ◽  
Vol 58 (6) ◽  
pp. 517-522 ◽  
Author(s):  
A. H. M. Kamruzzaman ◽  
A. Haque ◽  
A. Bouazza
Keyword(s):  
Cyclic Load ◽  
Granular Soils

An Application and Research of Gray-Relation for Color Classification in Dyeing Textile

2013 ◽  
Vol 694-697 ◽  
pp. 2881-2885
Author(s):  
Hai Yan Wang ◽  
Jian Xin Zhang
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
Information Management System ◽  
Space Distribution ◽  
Color Classification ◽  
Uniform Sampling ◽  
Forecast Precision ◽  
Internal Instability ◽  
The Stability

Dyeing textile’s information management system is the basis of accurate classification of color， machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple ， but they are dependent on the distribution of sample spaces. If the sample data properties are not independent， forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed， which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size， while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis， Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation， dyeing textile color classification does not need to be dependent on sample space distribution， and increases the stability of classification.

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