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- W2354713680 abstract "Bottom-grouting is an effective means to solve inherent vice of pile construction craftwork at present. There are many factors to affect the grouting consolidation effect. In this paper the radial base genetic neural networks are used to implement the non-liner mapping between the increment coefficient of bearing capability and the character of holding-layer, pile length, pile diameter, grouting pressure, grouting volume. Results indicate that the accretion coefficient of bearing capability accelerates with the increment of grouting pressure, the most grouting volume exists and the coefficient of bearing capability no more increases when the grouting volume exceeds its most grouting volume." @default.
- W2354713680 created "2016-06-24" @default.
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- W2354713680 date "2003-01-01" @default.
- W2354713680 modified "2023-09-23" @default.
- W2354713680 title "Radial Base Genetic Neural Network Study of Bottom-Grouting Pile Bearing Capacity" @default.
- W2354713680 hasPublicationYear "2003" @default.
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