Abstract
The finite element method (FEM) combined with a random field of soil properties is often used to simulate soil-structure interactions in a heterogeneous ground. A large number of scenarios are required to obtain reliable results from this stochastic FEM scheme. This paper introduces a workflow programmed with Python to automate stochastic FEM simulation by taking advantage of an available random-field generator and a commercial FEM software. The Python script enables a batch mode of a large number of simulations. The effectiveness of the workflow is demonstrated by a study on estimating tunneling-induced settlement of a pipeline buried in heterogeneous ground.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Griffiths, D.V., Fenton, G.A., Manoharan, N.: Bearing capacity of rough rigid strip footing on cohesive soil: probabilistic study. J Geotech. Geoenviron. Eng. 128, 743–755 (2007)
Vanmarcke, E.H.: Probabilistic modeling of soil profiles. J Geotech. Eng. Div. 103, 1227–1246 (1977)
Phoon, K., Kulhawy, F.H.: Characterization of geotechnical variability. J Can. Geotech. Eng. 624, 612–624 (1999)
Abbaszadeh, S., Torab, F.M., Alikhani, A., Molayemat, H.: Discriminating copper geochemical anomalies and assessment of their reliability using a combination of sequential Gaussian simulation and gap statistic methods in Hararan area, Kerman. Iran. J. Min. Environ. 10, 75–86 (2019)
Remy, N.: S-GEMS: the stanford geostatistical modeling software: a tool for new algorithms development. In: Leuangthong, O., Deutsh, C.V. Geostatistics Banff 2004: 7th International Geostatistics Conference of Soil Properties, vol. 1, pp. 865–871. Springer, New York (2005). https://doi.org/10.1016/j.enggeo.2014.12.003nce
Huang, H.W., Xiao, L., Zhang, D.M., Zhang, J.: Influence of spatial variability of soil Young’s modulus on tunnel convergence in soft soils. J Eng. Geology 228, 357–370 (2017)
Yin, R.R., Zhang, C.C., Wu, Q., Li, B.C., Xie, H.: Damage on lining concrete in highway tunnels under combined sulfate and chloride attack. J Front. Struct. Civ. Eng. 12, 311–340 (2018)
Field, D.A., Using, T., Data, A.: Research on the earth pressure and internal force of a high-fill open-cut tunnel using a bilayer lining design: a field test using an FBG Automatic data acquisition system. Sensors 19(7), 1487 (2019)
Li, D., Jiang, S., Cao, Z.: A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties. J. Eng. Geol. 187, 60–72 (2015)
Acknowledgement
This study is funded by the Ministry of Science and Technology of China (grant No. SLDRCE 14-B-11 and grant No. SLDRCE19-B-15).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gao, Y., Liu, F., Che, Y. (2020). Estimating Tunneling-Induced Settlement of a Pipeline Buried in Heterogeneous Ground Through Stochastic FEM by Bridging Available Tools. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_67
Download citation
DOI: https://doi.org/10.1007/978-3-030-32029-4_67
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32028-7
Online ISBN: 978-3-030-32029-4
eBook Packages: EngineeringEngineering (R0)