Reliability evaluation of slope considering geological uncertainty and inherent variability of soil parameters. (December 2017)
- Record Type:
- Journal Article
- Title:
- Reliability evaluation of slope considering geological uncertainty and inherent variability of soil parameters. (December 2017)
- Main Title:
- Reliability evaluation of slope considering geological uncertainty and inherent variability of soil parameters
- Authors:
- Deng, Zhi-Ping
Li, Dian-Qing
Qi, Xiao-Hui
Cao, Zi-Jun
Phoon, Kok-Kwang - Abstract:
- Abstract: Geological uncertainty is often ignored in slope reliability analysis, even though the inherent variability of soil parameters is considered. This paper aims to propose a method for slope reliability analysis by considering both the inherent variability of soil parameters and geological uncertainty. A coupled Markov chain (CMC) model is used to simulate the geological uncertainty. An implementation procedure for slope reliability considering the aforementioned two types of uncertainty is provided. A slope reliability problem is analyzed to validate the proposed method with the borehole data from Perth, Australia. Different borehole layout schemes are designed to reflect the effect of both number and location of boreholes on slope reliability. Moreover, which type of uncertainty mentioned above has a greater impact on slope reliability is explored. The results indicate that the proposed method can effectively evaluate the slope reliability considering these two types of uncertainty. If only the inherent variability is considered, the accuracy of reliability analysis mainly depends on the used geological profiles. Borehole layout scheme has a significant effect on slope reliability. Both probability of failure ( P f ) and mean of factor of safety ( FS ) of slope do not monotonously vary with an increasing number of boreholes. The boreholes designed in the critical influence zone can provide more information to improve the accuracy of slope reliability. TheAbstract: Geological uncertainty is often ignored in slope reliability analysis, even though the inherent variability of soil parameters is considered. This paper aims to propose a method for slope reliability analysis by considering both the inherent variability of soil parameters and geological uncertainty. A coupled Markov chain (CMC) model is used to simulate the geological uncertainty. An implementation procedure for slope reliability considering the aforementioned two types of uncertainty is provided. A slope reliability problem is analyzed to validate the proposed method with the borehole data from Perth, Australia. Different borehole layout schemes are designed to reflect the effect of both number and location of boreholes on slope reliability. Moreover, which type of uncertainty mentioned above has a greater impact on slope reliability is explored. The results indicate that the proposed method can effectively evaluate the slope reliability considering these two types of uncertainty. If only the inherent variability is considered, the accuracy of reliability analysis mainly depends on the used geological profiles. Borehole layout scheme has a significant effect on slope reliability. Both probability of failure ( P f ) and mean of factor of safety ( FS ) of slope do not monotonously vary with an increasing number of boreholes. The boreholes designed in the critical influence zone can provide more information to improve the accuracy of slope reliability. The coefficients of variation (COVs) of shear strength parameters and the discrepancy among the means of shear strengths for different soils play different and major role between the two types of uncertainty in the reliability analysis of soil slope. … (more)
- Is Part Of:
- Computers and geotechnics. Volume 92(2017)
- Journal:
- Computers and geotechnics
- Issue:
- Volume 92(2017)
- Issue Display:
- Volume 92, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 92
- Issue:
- 2017
- Issue Sort Value:
- 2017-0092-2017-0000
- Page Start:
- 121
- Page End:
- 131
- Publication Date:
- 2017-12
- Subjects:
- Slope stability -- Geological uncertainty -- Inherent variability -- Reliability analysis
Engineering geology -- Data processing -- Periodicals
Soil mechanics -- Data processing -- Periodicals
Rock mechanics -- Data processing -- Periodicals
624.1510285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0266352X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compgeo.2017.07.020 ↗
- Languages:
- English
- ISSNs:
- 0266-352X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.696000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5009.xml