A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Permanent Settlement Prediction of Composite Foundation Improved by Cement-Soil Piles under Cycle Loading
Through large-scale model tests on composite foundation of cement-soil piles under cyclic loading, a program was compiled based on the platform of MATLAB 7.0, considering the effects of cement mixing ratio, replacement ratio, cyclic stress ratio and number of cyclic on the permanent settlement of composite ground. A back-propagation neural network model to predict the settlement was established, and its prediction accuracy was inspected. Meanwhile, an predicting model of multivariable linear regression analysis was established .To compare the prediction accuracy of the two methods, and the result shows that the trained neural network have the better predictive and generalization.
Permanent Settlement Prediction of Composite Foundation Improved by Cement-Soil Piles under Cycle Loading
Through large-scale model tests on composite foundation of cement-soil piles under cyclic loading, a program was compiled based on the platform of MATLAB 7.0, considering the effects of cement mixing ratio, replacement ratio, cyclic stress ratio and number of cyclic on the permanent settlement of composite ground. A back-propagation neural network model to predict the settlement was established, and its prediction accuracy was inspected. Meanwhile, an predicting model of multivariable linear regression analysis was established .To compare the prediction accuracy of the two methods, and the result shows that the trained neural network have the better predictive and generalization.
Permanent Settlement Prediction of Composite Foundation Improved by Cement-Soil Piles under Cycle Loading
Advanced Materials Research ; 482-484 ; 1205-1208
2012-02-27
4 pages
Article (Journal)
Electronic Resource
English
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