Settlement Research and Prediction on Soft Clay Foundation

Xu Chao Shi; Yi Feng Dong; Yun Liu

doi:10.4028/www.scientific.net/AMR.511.83

Paper Titles

Analyses of High Grade Strength Steel Bars in the Design of a Five-Storey Reinforced Concrete Structure with Comparison of Energy Consumption and CO₂Emission
p.64

Study on Corrosion Resistance of Brass in Circulating Cooling Water with Different Concentration Ratio
p.70

Study on Anti-Corrosion Behaviour of 304 Stainless Steel in Circulating Cooling Water
p.74

Research on Carbon Steel Test Conducted by Means of Steady-Damp Heat Periodic Immersion Method
p.78

Settlement Research and Prediction on Soft Clay Foundation
p.83

Experience and Study of Austenitic Stainless Steel Machining
p.88

Effect of Thermal Conductivity on Temperature Fluctuations in the Mixing T-Junctions Filled with Porous Metal Materials
p.92

Comparison of Two Different Methods of Preparing Chemical Raw Materials Using Blast Furnace Gas
p.96

Preparation of Li₄Ti₅O₁₂ as Anode Material by Solution Method
p.101

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 511Settlement Research and Prediction on Soft Clay...

Settlement Research and Prediction on Soft Clay Foundation

Abstract:

Soft clay can be found in many places around the country of China. Along with the rapid economic development in coastal areas, civil engineers could meet many soft soils. These settlements appear quickly and may continue for a long period of time due to the consolidation behavior. This paper investigates the deformation characteristics of soft clay foundation from trial dates. Support Vector Machine model is proposed to predict settlement of soft clay. The settlement forecasting show Support Vector Machine method has advantages in its simple structure excellent capability in studying and good application prospects. The results of this study proves the elasto-viscoplastic model rationality based on laboratory test and have shown the SVM approach has the potential to be a practical tool for predicting settlement of soft clay foundation.

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Periodical:

Advanced Materials Research (Volume 511)

Pages:

83-87

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.511.83

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Online since:

April 2012

Authors:

Xu Chao Shi, Yi Feng Dong, Yun Liu

Keywords:

Model, Prediction, Settlement, Soft Clay, Support Vector Machine (SVM)

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