On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example

Bram van den Eijnden; Michael Hicks

doi:10.3850/978-981-11-2725-0 IS9-3-cd

On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example

Geo-engineering

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

Abstract

This paper studies the effect of (not) accounting for the systematic uncertainty in the characterization of soil parameters in spatially variable soils and the influence this has on the calculated probability of failure. Not fully accounting for systematic uncertainty is considered as an incomplete characterization of the uncertainty in site investigation. An example slope in a spatially variable soil is modeled, using a combination of subset simulation with the random finite element method. The relationship between uncertainty in the mean shear strength and probability of slope failure is then used to demonstrate that even small levels of systematic uncertainty can have a significant effect on the calculated probability of failure, which potentially increases by several orders of magnitude

Original language	English
Title of host publication	Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR)
Subtitle of host publication	Editors: Jianye Ching, Dian-Qing Li and Jie Zhang
Editors	Jianye Ching, Dian-Qing Li, Jie Zhang
Place of Publication	Singapore
Pages	237-242
Number of pages	6
ISBN (Electronic)	978-981-11-2725-0
DOIs	https://doi.org/10.3850/978-981-11-2725-0 IS9-3-cd
Publication status	Published - 11 Dec 2019
Event	ISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk - National Taiwan University of Science and Technology, Taipei, Taiwan Duration: 11 Dec 2019 → 13 Dec 2019 http://isgsr2019.org/

Conference

Conference	ISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk
Abbreviated title	ISGSR 2019
Country/Territory	Taiwan
City	Taipei
Period	11/12/19 → 13/12/19
Internet address	http://isgsr2019.org/

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10.3850/978-981-11-2725-0 IS9-3-cd

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van den Eijnden, B., & Hicks, M. (2019). On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example. In J. Ching, D.-Q. Li, & J. Zhang (Eds.), Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR): Editors: Jianye Ching, Dian-Qing Li and Jie Zhang (pp. 237-242). Article IS9-3. https://doi.org/10.3850/978-981-11-2725-0 IS9-3-cd

van den Eijnden, Bram ; Hicks, Michael. / On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example. Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR): Editors: Jianye Ching, Dian-Qing Li and Jie Zhang. editor / Jianye Ching ; Dian-Qing Li ; Jie Zhang. Singapore, 2019. pp. 237-242

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title = "On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example",

abstract = "This paper studies the effect of (not) accounting for the systematic uncertainty in the characterization of soil parameters in spatially variable soils and the influence this has on the calculated probability of failure. Not fully accounting for systematic uncertainty is considered as an incomplete characterization of the uncertainty in site investigation. An example slope in a spatially variable soil is modeled, using a combination of subset simulation with the random finite element method. The relationship between uncertainty in the mean shear strength and probability of slope failure is then used to demonstrate that even small levels of systematic uncertainty can have a significant effect on the calculated probability of failure, which potentially increases by several orders of magnitude ",

author = "{van den Eijnden}, Bram and Michael Hicks",

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booktitle = "Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR)",

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van den Eijnden, B & Hicks, M 2019, On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example. in J Ching, D-Q Li & J Zhang (eds), Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR): Editors: Jianye Ching, Dian-Qing Li and Jie Zhang., IS9-3, Singapore, pp. 237-242, ISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk, Taipei, Taiwan, 11/12/19. https://doi.org/10.3850/978-981-11-2725-0 IS9-3-cd

On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example. / van den Eijnden, Bram ; Hicks, Michael.
Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR): Editors: Jianye Ching, Dian-Qing Li and Jie Zhang. ed. / Jianye Ching; Dian-Qing Li; Jie Zhang. Singapore, 2019. p. 237-242 IS9-3.

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

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N2 - This paper studies the effect of (not) accounting for the systematic uncertainty in the characterization of soil parameters in spatially variable soils and the influence this has on the calculated probability of failure. Not fully accounting for systematic uncertainty is considered as an incomplete characterization of the uncertainty in site investigation. An example slope in a spatially variable soil is modeled, using a combination of subset simulation with the random finite element method. The relationship between uncertainty in the mean shear strength and probability of slope failure is then used to demonstrate that even small levels of systematic uncertainty can have a significant effect on the calculated probability of failure, which potentially increases by several orders of magnitude

AB - This paper studies the effect of (not) accounting for the systematic uncertainty in the characterization of soil parameters in spatially variable soils and the influence this has on the calculated probability of failure. Not fully accounting for systematic uncertainty is considered as an incomplete characterization of the uncertainty in site investigation. An example slope in a spatially variable soil is modeled, using a combination of subset simulation with the random finite element method. The relationship between uncertainty in the mean shear strength and probability of slope failure is then used to demonstrate that even small levels of systematic uncertainty can have a significant effect on the calculated probability of failure, which potentially increases by several orders of magnitude

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van den Eijnden B , Hicks M. On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example. In Ching J, Li DQ, Zhang J, editors, Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR): Editors: Jianye Ching, Dian-Qing Li and Jie Zhang. Singapore. 2019. p. 237-242. IS9-3 doi: 10.3850/978-981-11-2725-0 IS9-3-cd

On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example

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