Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating
In geotechnical engineering, the soil water retention curve (SWRC) is key to solving problems arising from unsaturated soil, and the methodology used to obtain the SWRC parameters is crucial for investigating rainfall infiltration and slope stability. However, on-site measurements of soil data are e...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2021/6629969 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832550828712394752 |
---|---|
author | Hsin-Fu Yeh Tsien-Ting Huang Ya-Sin Yang Chien-Chung Ke |
author_facet | Hsin-Fu Yeh Tsien-Ting Huang Ya-Sin Yang Chien-Chung Ke |
author_sort | Hsin-Fu Yeh |
collection | DOAJ |
description | In geotechnical engineering, the soil water retention curve (SWRC) is key to solving problems arising from unsaturated soil, and the methodology used to obtain the SWRC parameters is crucial for investigating rainfall infiltration and slope stability. However, on-site measurements of soil data are expensive and time-consuming, and therefore, there is high uncertainty in the SWRC parameters due to the limited amount of data available. This study explores the impact of uncertainty in SWRC parameters on unsaturated soil slope seepage and stability under rainfall conditions. Bayesian updating was initially used to update the posterior distribution of the SWRC parameters of the model and in situ soil. Subsequently, a Markov Chain Monte Carlo (MCMC) method was used to generate random samples, and the uncertainty of the parameters was analyzed. Additionally, SWRC parametric models with different confidence intervals were created, and a hydraulic coupled model was used to evaluate the influence of the SWRC parameters (with different confidence intervals) on slope seepage and stability under rainfall conditions. The results indicated that the parameters α and n affecting the air entry value of the soil and the pore size distribution, respectively, increased as the confidence interval percentile increased. The changes in these two parameters increased the effect of rainfall on the pressure head and volumetric water content of the soil. After rainfall infiltrated the slope, the soil volumetric water content and the internal suction stress of the soil increased, resulting in a reduction in the local factor of safety (LFS) and, hence, a decrease in the stability of the slope. These results show that the predictions for the pressure head and volumetric water content were affected by the uncertainty in the SWRC parameters, leading to errors in the slope stability analysis. |
format | Article |
id | doaj-art-4968556401ca441e8d50812b98e020be |
institution | Kabale University |
issn | 1468-8115 1468-8123 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Geofluids |
spelling | doaj-art-4968556401ca441e8d50812b98e020be2025-02-03T06:05:43ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/66299696629969Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian UpdatingHsin-Fu Yeh0Tsien-Ting Huang1Ya-Sin Yang2Chien-Chung Ke3Department of Resources Engineering, National Cheng Kung University, Tainan, TaiwanDepartment of Resources Engineering, National Cheng Kung University, Tainan, TaiwanDepartment of Resources Engineering, National Cheng Kung University, Tainan, TaiwanGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, TaiwanIn geotechnical engineering, the soil water retention curve (SWRC) is key to solving problems arising from unsaturated soil, and the methodology used to obtain the SWRC parameters is crucial for investigating rainfall infiltration and slope stability. However, on-site measurements of soil data are expensive and time-consuming, and therefore, there is high uncertainty in the SWRC parameters due to the limited amount of data available. This study explores the impact of uncertainty in SWRC parameters on unsaturated soil slope seepage and stability under rainfall conditions. Bayesian updating was initially used to update the posterior distribution of the SWRC parameters of the model and in situ soil. Subsequently, a Markov Chain Monte Carlo (MCMC) method was used to generate random samples, and the uncertainty of the parameters was analyzed. Additionally, SWRC parametric models with different confidence intervals were created, and a hydraulic coupled model was used to evaluate the influence of the SWRC parameters (with different confidence intervals) on slope seepage and stability under rainfall conditions. The results indicated that the parameters α and n affecting the air entry value of the soil and the pore size distribution, respectively, increased as the confidence interval percentile increased. The changes in these two parameters increased the effect of rainfall on the pressure head and volumetric water content of the soil. After rainfall infiltrated the slope, the soil volumetric water content and the internal suction stress of the soil increased, resulting in a reduction in the local factor of safety (LFS) and, hence, a decrease in the stability of the slope. These results show that the predictions for the pressure head and volumetric water content were affected by the uncertainty in the SWRC parameters, leading to errors in the slope stability analysis.http://dx.doi.org/10.1155/2021/6629969 |
spellingShingle | Hsin-Fu Yeh Tsien-Ting Huang Ya-Sin Yang Chien-Chung Ke Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating Geofluids |
title | Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating |
title_full | Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating |
title_fullStr | Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating |
title_full_unstemmed | Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating |
title_short | Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating |
title_sort | influence of uncertainty of soil hydraulic parameters on stability of unsaturated slopes based on bayesian updating |
url | http://dx.doi.org/10.1155/2021/6629969 |
work_keys_str_mv | AT hsinfuyeh influenceofuncertaintyofsoilhydraulicparametersonstabilityofunsaturatedslopesbasedonbayesianupdating AT tsientinghuang influenceofuncertaintyofsoilhydraulicparametersonstabilityofunsaturatedslopesbasedonbayesianupdating AT yasinyang influenceofuncertaintyofsoilhydraulicparametersonstabilityofunsaturatedslopesbasedonbayesianupdating AT chienchungke influenceofuncertaintyofsoilhydraulicparametersonstabilityofunsaturatedslopesbasedonbayesianupdating |