Influence of geological uncertainty on the design of OWTF monopiles

Hsu, Ya-Han; Lu, Yu-Chen; Khoshnevisan, Sara; Juang, Hsein; Hwang, Jin-Hung

doi:10.1016/j.enggeo.2022.106621

Engineering Geology

2022

DOI: 10.1016/j.enggeo.2022.106621

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Influence of geological uncertainty on the design of OWTF monopiles

Ya-Han Hsu

Yu-Chen Lu

Sara Khoshnevisan

et al.

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Cited by 11 publications

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“…Geotechnical design, specifically reliability-based design, typically involves the geological profile, which displays the geomaterial type in each grid and different layers as well as their sequence and thickness ( 8 ). In current geotechnical design practice, this geological profile is linearly interpolated based on the sparse boreholes drilled for the site investigation.…”

mentioning

confidence: 99%

Effect of Geological Uncertainty on the Shaft Resistance Prediction and Reliability of Piles Driven in Multi-Layered Geomaterials

Oluwatuyi

Wulff

et al. 2023

Transportation Research Record: Journal of the Transportation R

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This study proposes a method to quantify the effect of geological uncertainty on the predicted shaft resistance and the reliability of piles driven into multi-layered geomaterials. Several geological predicted surfaces with different levels of geological uncertainties are simulated through multiple sets of boreholes using the multinomial categorical prediction approach for the spatial Markov chain. As the number of strategically placed boreholes increases, the geological uncertainties decrease. Respective ground predicted surfaces are also simulated from these geological predicted surfaces using universal kriging and conditional simulation. The shaft resistances of the piles driven at the site are estimated for the multiple geomaterials layers using geotechnical prediction equations specified for the geomaterial type. The design reliability for the shaft resistance obtained from the various geological, ground, and geotechnical predictions is thereafter accessed through its probability of failure evaluated using the Monte Carlo simulation. This methodology is applied to the Lemhi River bridge project site in Idaho. The results illustrate the influence of geological uncertainty on the design of piles driven into multi-layered geomaterials and further help in determining an optimal site investigation plan that will improve pile design.

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mentioning

confidence: 99%

Effect of Geological Uncertainty on the Shaft Resistance Prediction and Reliability of Piles Driven in Multi-Layered Geomaterials

Oluwatuyi

Wulff

et al. 2023

Transportation Research Record: Journal of the Transportation R

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CasMDN: A deep learning-based multivariate distribution modelling approach and its application in geotechnical engineering

Zhang,

Han,

et al. 2024

Computers and Geotechnics

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Probabilistic analysis of lateral behaviour of offshore wind turbine monopile considering uncertainties of geological model and loads

Zhao,

Gong,

Juang

et al. 2024

Computers and Geotechnics

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Influence of geological uncertainty on the design of OWTF monopiles

Cited by 11 publications

References 12 publications

Effect of Geological Uncertainty on the Shaft Resistance Prediction and Reliability of Piles Driven in Multi-Layered Geomaterials

Effect of Geological Uncertainty on the Shaft Resistance Prediction and Reliability of Piles Driven in Multi-Layered Geomaterials

CasMDN: A deep learning-based multivariate distribution modelling approach and its application in geotechnical engineering

Probabilistic analysis of lateral behaviour of offshore wind turbine monopile considering uncertainties of geological model and loads

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