Liquefaction Assessment and Soil Spatial Variation

José León González Acosta; Abraham P. van den Eijnden; Michael A. Hicks

doi:10.1007/978-3-031-12851-6_34

Liquefaction Assessment and Soil Spatial Variation

José León González Acosta^*, Abraham P. van den Eijnden, Michael A. Hicks

^*Corresponding author for this work

Geo-engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

36 Downloads (Pure)

Abstract

Soil liquefaction is investigated considering a saturated soil deposit and by implementing standard techniques of random field theory to distribute initial void ratio values and assess liquefaction risk. The soil domain is represented in a 2-dimensional (2D) random finite element model for the dynamic analysis of coupled behavior. Multiple Monte Carlo realizations are subjected to a base acceleration, while cyclic and small strain soil behaviours are achieved through a hypoplastic constitutive model. This investigation demonstrates that 2D stochastic simulations converge to 2D deterministic simulations when small standard deviations and/or small scales of fluctuation are used. However, large standard deviations combined with relatively large scales of fluctuation may cause significant uncertainty in the response of the soil deposit. Finally, common techniques employed to assess soil liquefaction are evaluated based on the results of the deterministic and random field analyses.

Original language	English
Title of host publication	Challenges and Innovations in Geomechanics
Subtitle of host publication	Proceedings of the 16th International Conference of IACMAG
Editors	Marco Barla, Alessandra Insana, Alice Di Donna, Donatella Sterpi
Place of Publication	Cham
Publisher	Springer
Pages	283-290
Number of pages	8
Volume	3
ISBN (Electronic)	978-3-031-12851-6
ISBN (Print)	978-3-031-12850-9
DOIs	https://doi.org/10.1007/978-3-031-12851-6_34
Publication status	Published - 2023
Event	6th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2022 - Turin, Italy Duration: 30 Aug 2022 → 2 Sept 2022

Publication series

Name	Lecture Notes in Civil Engineering
Volume	288 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	6th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2022
Country/Territory	Italy
City	Turin
Period	30/08/22 → 2/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Coupled behaviour
Earthquakes
Hypoplasticity
Liquefaction
Random fields

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10.1007/978-3-031-12851-6_34

978-3-031-12851-6_34Final published version, 712 KB

Cite this

González Acosta, J. L., van den Eijnden, A. P., & Hicks, M. A. (2023). Liquefaction Assessment and Soil Spatial Variation. In M. Barla, A. Insana, A. Di Donna, & D. Sterpi (Eds.), Challenges and Innovations in Geomechanics: Proceedings of the 16th International Conference of IACMAG (Vol. 3, pp. 283-290). (Lecture Notes in Civil Engineering; Vol. 288 LNCE). Springer. https://doi.org/10.1007/978-3-031-12851-6_34

González Acosta, José León ; van den Eijnden, Abraham P. ; Hicks, Michael A. / Liquefaction Assessment and Soil Spatial Variation. Challenges and Innovations in Geomechanics: Proceedings of the 16th International Conference of IACMAG. editor / Marco Barla ; Alessandra Insana ; Alice Di Donna ; Donatella Sterpi. Vol. 3 Cham : Springer, 2023. pp. 283-290 (Lecture Notes in Civil Engineering).

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abstract = "Soil liquefaction is investigated considering a saturated soil deposit and by implementing standard techniques of random field theory to distribute initial void ratio values and assess liquefaction risk. The soil domain is represented in a 2-dimensional (2D) random finite element model for the dynamic analysis of coupled behavior. Multiple Monte Carlo realizations are subjected to a base acceleration, while cyclic and small strain soil behaviours are achieved through a hypoplastic constitutive model. This investigation demonstrates that 2D stochastic simulations converge to 2D deterministic simulations when small standard deviations and/or small scales of fluctuation are used. However, large standard deviations combined with relatively large scales of fluctuation may cause significant uncertainty in the response of the soil deposit. Finally, common techniques employed to assess soil liquefaction are evaluated based on the results of the deterministic and random field analyses.",

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González Acosta, JL , van den Eijnden, AP & Hicks, MA 2023, Liquefaction Assessment and Soil Spatial Variation. in M Barla, A Insana, A Di Donna & D Sterpi (eds), Challenges and Innovations in Geomechanics: Proceedings of the 16th International Conference of IACMAG. vol. 3, Lecture Notes in Civil Engineering, vol. 288 LNCE, Springer, Cham, pp. 283-290, 6th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2022, Turin, Italy, 30/08/22. https://doi.org/10.1007/978-3-031-12851-6_34

Liquefaction Assessment and Soil Spatial Variation. / González Acosta, José León ; van den Eijnden, Abraham P.; Hicks, Michael A.
Challenges and Innovations in Geomechanics: Proceedings of the 16th International Conference of IACMAG. ed. / Marco Barla; Alessandra Insana; Alice Di Donna; Donatella Sterpi. Vol. 3 Cham: Springer, 2023. p. 283-290 (Lecture Notes in Civil Engineering; Vol. 288 LNCE).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Hicks, Michael A.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - Soil liquefaction is investigated considering a saturated soil deposit and by implementing standard techniques of random field theory to distribute initial void ratio values and assess liquefaction risk. The soil domain is represented in a 2-dimensional (2D) random finite element model for the dynamic analysis of coupled behavior. Multiple Monte Carlo realizations are subjected to a base acceleration, while cyclic and small strain soil behaviours are achieved through a hypoplastic constitutive model. This investigation demonstrates that 2D stochastic simulations converge to 2D deterministic simulations when small standard deviations and/or small scales of fluctuation are used. However, large standard deviations combined with relatively large scales of fluctuation may cause significant uncertainty in the response of the soil deposit. Finally, common techniques employed to assess soil liquefaction are evaluated based on the results of the deterministic and random field analyses.

AB - Soil liquefaction is investigated considering a saturated soil deposit and by implementing standard techniques of random field theory to distribute initial void ratio values and assess liquefaction risk. The soil domain is represented in a 2-dimensional (2D) random finite element model for the dynamic analysis of coupled behavior. Multiple Monte Carlo realizations are subjected to a base acceleration, while cyclic and small strain soil behaviours are achieved through a hypoplastic constitutive model. This investigation demonstrates that 2D stochastic simulations converge to 2D deterministic simulations when small standard deviations and/or small scales of fluctuation are used. However, large standard deviations combined with relatively large scales of fluctuation may cause significant uncertainty in the response of the soil deposit. Finally, common techniques employed to assess soil liquefaction are evaluated based on the results of the deterministic and random field analyses.

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KW - Earthquakes

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KW - Random fields

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BT - Challenges and Innovations in Geomechanics

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González Acosta JL , van den Eijnden AP , Hicks MA. Liquefaction Assessment and Soil Spatial Variation. In Barla M, Insana A, Di Donna A, Sterpi D, editors, Challenges and Innovations in Geomechanics: Proceedings of the 16th International Conference of IACMAG. Vol. 3. Cham: Springer. 2023. p. 283-290. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-12851-6_34

Liquefaction Assessment and Soil Spatial Variation

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Keywords

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