Settlement Prediction Method of Bridge Pile Foundation on Soft Soil Foundation Based on Hyperbolic Method

2021 ◽  
Author(s):  
Weiwei Zhan
Keyword(s):  
Pile Foundation ◽  
Soft Soil ◽  
Prediction Method ◽  
Settlement Prediction ◽  
Soil Foundation ◽  
Soft Soil Foundation ◽  
Bridge Pile Foundation ◽  
Hyperbolic Method

Research on Prediction Method of Soft Soil Foundation Settlement

2011 ◽  
Vol 97-98 ◽  
pp. 36-39
Author(s):  
Xiao Ma Dong
Keyword(s):  
Support Vector Machine ◽  
Soft Soil ◽  
Prediction Method ◽  
Least Square ◽  
Support Vector ◽  
Prediction Methods ◽  
Foundation Settlement ◽  
Soil Foundation ◽  
Soft Soil Foundation ◽  
Curve Fitting Method

The current prediction methods of foundation settlement have biggish error under the condition of lesser foundation settlement observational datum. Aim at the localization of present prediction methods and the virtues of Support Vector Machine arithmetic, the method of predicting soft soil foundation settlement based on Least Square Support Vector Machine (LS-SVM) was proposed in this paper and compared with the neural network method and curve fitting method. The research results show that this proposed method is feasible and effective for predicting soft soil foundation settlement. Least Square Support Vector Machine provides a more advanced method than these conventional methods for predicting foundation settlement.

Research of Calculation Method for Final Soft Clay Ground Settlement by Preloading Method

2014 ◽  
Vol 1065-1069 ◽  
pp. 164-167
Author(s):  
Da Gang Wang ◽  
Zhong Qiu Xie ◽  
Xi Liu ◽  
Jun Cao
Keyword(s):  
Large Scale ◽  
Soft Soil ◽  
Measured Data ◽  
Exponential Curve ◽  
Curve Method ◽  
Soil Foundation ◽  
Soft Soil Foundation ◽  
Preloading Method ◽  
Ultimate Settlement ◽  
Hyperbolic Method

Preloading method is a common way to dispose large-scale soft soil foundation, and its methods of calculating the settlement amount mainly include exponential curve method, hyperbolic method, and Asaoka method. This paper chose exponential curve method and hyperbolic method to conduct ultimate settlement calculation on some reclamation project of Yingkou Port against measured data of settlement in the project, and compared the result to that calculated by splitting summation method. The accuracy was also verified by measured data of settlement amount in later phase to reach the conclusion that hyperbolic method is more suitable for calculating the ultimate settlement amount considering the soft soil foundation of marine facies in Liaoning.

scholarly journals Application of the WNN-Based SCG Optimization Algorithm for Predicting Soft Soil Foundation Engineering Settlement

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Guihua Li ◽  
Chenyu Han ◽  
Hong Mei ◽  
Shuai Chen
Keyword(s):  
Neural Network ◽  
Soft Soil ◽  
Wavelet Neural Network ◽  
Foundation Engineering ◽  
Settlement Prediction ◽  
Training Techniques ◽  
Soft Foundation ◽  
Soil Foundation ◽  
Soft Soil Foundation ◽  
Hidden Layer

Settlement prediction in soft soil foundation engineering is a newer technique. Predicting soft soil settling has long been one of the most challenging techniques due to difficulties in soft soil engineering. To overcome these challenges, the wavelet neural network (WNN) is mostly used. So, after assessing its estimate performance, two elements, early parameter selection and system training techniques, are chosen to optimize the traditional WNN difficulties of readily convergence to the local infinitesimal point, low speed, and poor approximation performance. The number of hidden layer nodes is determined using a self-adaptive adjustment technique. The wavelet neural network (WNN) is coupled with the scaled conjugate gradient (SCG) to increase the feasibility and accuracy of the soft fundamental engineering settlement prediction model, and a better wavelet network for the soft ground engineering settlement prediction is suggested in this paper. Furthermore, we have proposed the technique of locating the early parameters based on autocorrelation. The settlement of three types of traditional soft foundation engineering, including metro tunnels, highways, and high-rise building foundations, has been predicted using our proposed model. The findings revealed that the model is superior to the backpropagation neural network and the standard WNN for solving problems of approximation performance. As a result, the model is acceptable for soft foundation engineering settlement prediction and has substantial project referential value.

Application Research on Composite Foundation of Rammed Soil-Cement Piles Applied in the Da-Guang Expressway from Gu'an to Shenzhou

2013 ◽  
Vol 740 ◽  
pp. 655-658
Author(s):  
Huan Sheng Mu ◽  
Ling Gao
Keyword(s):  
Soft Soil ◽  
Composite Foundation ◽  
Application Research ◽  
Action Mechanism ◽  
Foundation Design ◽  
Soil Cement ◽  
Soil Foundation ◽  
Soft Soil Foundation ◽  
Cement Soil ◽  
Capacity Characteristic

Through the practice of tamped cement soil pile in treatment of soft soil foundation in Guan to Shenzhou section of Daqing-Guangzhou Expressway, the author expounds the action mechanism of rammed soil cement pile, composite foundation design points and calculation method of bearing capacity characteristic value.

Experimental Study of the Rotary Filling Piles with Large-Diameter under the Axial Load

2012 ◽  
Vol 594-597 ◽  
pp. 527-531
Author(s):  
Wan Qing Zhou ◽  
Shun Pei Ouyang
Keyword(s):  
Experimental Study ◽  
Axial Load ◽  
Load Transfer ◽  
Soft Soil ◽  
Large Diameter ◽  
Shaft Resistance ◽  
Tip Resistance ◽  
Soil Foundation ◽  
Soft Soil Foundation ◽  
Deep Soft Soil

Based on the experimental study of rotary filling piles with large diameter subjected to axial load in deep soft soil, the bearing capacity behavior and load transfer mechanism were discussed. Results show that in deep soft soil foundation, the super–long piles behave as end-bearing frictional piles. The exertion of the shaft resistance is not synchronized. The upper layer of soil is exerted prior to the lower part of soil. Meanwhile, the exertion of shaft resistance is prior to the tip resistance. For the different soil and the different depth of the same layer of soil, shaft resistance is different.

Sign in / Sign up

Export Citation Format

Share Document