Abstract
In order to study the effect of spatial variability of soil parameters on foundation settlement. In this paper, the method of combining the theory of random field and numerical analysis is used to systematically analyze the settlement probability of the soft soil foundation in the south of China. The influence of spatial variability of soil parameters on probability settlement of foundation is studied. The results indicate that the settlement value of foundation increases with the increase of parameter variation coefficient, which is the most sensitive to deformation modulus. When the spatial variability of soil space is relatively large, the auto-correlation function selection has a great influence on the settlement of the foundation. The settlement value based on the exponential square is larger, and the single exponential is smaller.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Huang, L.C., Zhou, C.Y., Li, W.H.: Modeling the Microstructure Random Fields of Soft Soil in the South of China. vol. 236, pp. 495–501. Geotechnical Special Publication (2014)
Yang, G.H., Li, J., Jia, K., et al.: Improved settlement calculation method for engineering practice. Chin. J. Rock Mech. Eng. 36(S2), 4229–4234 (2017)
Hou, J.F., Chen, J., Kou, X.Q.: Numerical analysis of soft soil ground consolidation settlement. Appl. Mech. Mater. 638–640, 503–506 (2014)
Li, D.Q., Jiang, S.H., Chen, Y.F., et al.: Reliability analysis of serviceability performance for an underground cavern using a non-intrusive stochastic method. Environ. Earth Sci. 71(3), 1169–1182 (2014)
Kenarsari, A.E., Chenari, R.J.: Probabilistic settlement analysis of shallow foundations on heterogeneous soil stratum with anisotropic correlation structure. vol. 1914, pp. 1905–1914. Geotechnical Special Publication (2015)
Lo, M.K., Leung, Y.F.: Probabilistic analyses of slopes and footings with spatially variable soils considering cross-correlation and conditioned random field. J. Geotech. Geoenviron. Engi. 143(9), 04017044 (2017)
Cao, Z., Wang, Y.: Bayesian model comparison and selection of spatial correlation functions for soil parameters. Struct. Saf. 49, 10–17 (2014)
Cho, S.E., Park, H.C.: Effect of spatial variability of cross-correlated soil properties on bearing capacity of strip footing. Int. J. Numer. Anal. Methods Geomech. 34(1), 1–26 (2010)
Kasama, K., Whittle, A.J., Zen, K.: Effect of spatial variability on the bearing capacity of cement-treated ground. Soils Found. 52(4), 600–619 (2012)
Jiang, S.H., Dian-Qing, L.I., Zhou, C.B., et al.: Slope reliability analysis considering effect of autocorrelation functions. Chin. J. Geotech. Eng. 36(3), 508–518 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Huang, L., Huang, S., Liang, Y. (2018). Random Field Simulation of Foundation Settlement of Soft Soil in Southern China. In: Wu, W., Yu, HS. (eds) Proceedings of China-Europe Conference on Geotechnical Engineering. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-97115-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-97115-5_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-97114-8
Online ISBN: 978-3-319-97115-5
eBook Packages: EngineeringEngineering (R0)