Reduction of slope stability uncertainty based on hydraulic measurement via inverse analysis

P. J. Vardon; K. Liu; M. A. Hicks

doi:10.1080/17499518.2016.1180400

Reduction of slope stability uncertainty based on hydraulic measurement via inverse analysis

P. J. Vardon^*, K. Liu, M. A. Hicks

^*Corresponding author for this work

Geo-engineering

Research output: Contribution to journal › Article › Scientific › peer-review

45 Citations (Scopus)

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Abstract

The determination of slope stability for existing slopes is challenging, partly due to the spatial variability of soils. Reliability-based design can incorporate uncertainties and yield probabilities of slope failure. Field measurements can be utilised to constrain probabilistic analyses, thereby reducing uncertainties and generally reducing the calculated probabilities of failure. A method to utilise pore pressure measurements, to first reduce the spatial uncertainty of hydraulic conductivity, by using inverse analysis linked to the Ensemble Kalman Filter, is presented. Subsequently, the hydraulic conductivity has been utilised to constrain uncertainty in strength parameters, usually leading to an increase in the calculated slope reliability.

Original language	English
Pages (from-to)	223-240
Number of pages	18
Journal	Georisk: assessment and management of risk for engineered systems and geohazards
Volume	10
Issue number	3
DOIs	https://doi.org/10.1080/17499518.2016.1180400
Publication status	Published - 2 Jul 2016

Keywords

Ensemble Kalman filter
reliability
slope stability
spatial variability
uncertainty reduction

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10.1080/17499518.2016.1180400

vardon et al accepted manuscriptAccepted author manuscript, 1.39 MBLicence: CC BY-NC-SA

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AU - Hicks, M. A.

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N2 - The determination of slope stability for existing slopes is challenging, partly due to the spatial variability of soils. Reliability-based design can incorporate uncertainties and yield probabilities of slope failure. Field measurements can be utilised to constrain probabilistic analyses, thereby reducing uncertainties and generally reducing the calculated probabilities of failure. A method to utilise pore pressure measurements, to first reduce the spatial uncertainty of hydraulic conductivity, by using inverse analysis linked to the Ensemble Kalman Filter, is presented. Subsequently, the hydraulic conductivity has been utilised to constrain uncertainty in strength parameters, usually leading to an increase in the calculated slope reliability.

AB - The determination of slope stability for existing slopes is challenging, partly due to the spatial variability of soils. Reliability-based design can incorporate uncertainties and yield probabilities of slope failure. Field measurements can be utilised to constrain probabilistic analyses, thereby reducing uncertainties and generally reducing the calculated probabilities of failure. A method to utilise pore pressure measurements, to first reduce the spatial uncertainty of hydraulic conductivity, by using inverse analysis linked to the Ensemble Kalman Filter, is presented. Subsequently, the hydraulic conductivity has been utilised to constrain uncertainty in strength parameters, usually leading to an increase in the calculated slope reliability.

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KW - spatial variability

KW - uncertainty reduction

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Reduction of slope stability uncertainty based on hydraulic measurement via inverse analysis

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Keywords

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