Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test
This study presented a framework for uncertainty analysis of the ultimate axial bearing capacity of piles evaluated by the UniCone method in layered soils. The UniCone method by Eslami and Fellenius (1997) is a direct piezocone penetration test (CPTU) method for evaluating the ultimate axial capacit...
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Frontiers Media S.A.
2022-04-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.861086/full |
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author | Jun Lin Jun Lin Xinyu Hou Xinyu Hou Guojun Cai Guojun Cai Songyu Liu |
author_facet | Jun Lin Jun Lin Xinyu Hou Xinyu Hou Guojun Cai Guojun Cai Songyu Liu |
author_sort | Jun Lin |
collection | DOAJ |
description | This study presented a framework for uncertainty analysis of the ultimate axial bearing capacity of piles evaluated by the UniCone method in layered soils. The UniCone method by Eslami and Fellenius (1997) is a direct piezocone penetration test (CPTU) method for evaluating the ultimate axial capacity of piles in the reliability design. The spatial variability of CPTU data is modeled as a random field for each soil unit in the soil strata. The empirical correlation coefficients of the UniCone method are assumed to follow lognormal distributions. On the basis of uncertainties of CPTU data and empirical correlation coefficients, the first-order reliability method (FORM) is then applied to the reliability analysis of ultimate axial bearing capacity of piles. The effects of spatial variability of CPTU data and variations of empirical correlation coefficients on the ultimate axial bearing capacity of piles are evaluated by an Excel spreadsheet-based framework. Seven case studies show that the proper identification of different soil units from soil profiles is crucial for estimating the failure probability of pile capacity in the reliability analysis. Uncertainties of CPTU data and empirical correlation coefficients would be over-estimated unless different soil units in soil profiles are identified properly from each other. The over-estimated geotechnical parameters contribute to a higher failure probability of pile capacity. The proposed framework can evaluate the uncertainty of the ultimate axial bearing capacity of pile foundations more rationally. |
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language | English |
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spelling | doaj.art-38a24c09416a49629626c6c4aee5ec572022-12-22T03:14:09ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-04-011010.3389/feart.2022.861086861086Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration TestJun Lin0Jun Lin1Xinyu Hou2Xinyu Hou3Guojun Cai4Guojun Cai5Songyu Liu6School of Architecture and Civil Engineering, Jiangsu Open University, Nanjing, ChinaInstitute of Geotechnical Engineering, Southeast University, Nanjing, ChinaSchool of Architecture and Civil Engineering, Jiangsu Open University, Nanjing, ChinaInstitute of Geotechnical Engineering, Southeast University, Nanjing, ChinaInstitute of Geotechnical Engineering, Southeast University, Nanjing, ChinaSchool of Civil Engineering, Anhui Jianzhu University, Hefei, ChinaInstitute of Geotechnical Engineering, Southeast University, Nanjing, ChinaThis study presented a framework for uncertainty analysis of the ultimate axial bearing capacity of piles evaluated by the UniCone method in layered soils. The UniCone method by Eslami and Fellenius (1997) is a direct piezocone penetration test (CPTU) method for evaluating the ultimate axial capacity of piles in the reliability design. The spatial variability of CPTU data is modeled as a random field for each soil unit in the soil strata. The empirical correlation coefficients of the UniCone method are assumed to follow lognormal distributions. On the basis of uncertainties of CPTU data and empirical correlation coefficients, the first-order reliability method (FORM) is then applied to the reliability analysis of ultimate axial bearing capacity of piles. The effects of spatial variability of CPTU data and variations of empirical correlation coefficients on the ultimate axial bearing capacity of piles are evaluated by an Excel spreadsheet-based framework. Seven case studies show that the proper identification of different soil units from soil profiles is crucial for estimating the failure probability of pile capacity in the reliability analysis. Uncertainties of CPTU data and empirical correlation coefficients would be over-estimated unless different soil units in soil profiles are identified properly from each other. The over-estimated geotechnical parameters contribute to a higher failure probability of pile capacity. The proposed framework can evaluate the uncertainty of the ultimate axial bearing capacity of pile foundations more rationally.https://www.frontiersin.org/articles/10.3389/feart.2022.861086/fulluncertainty analysisultimate axial bearing capacityspatial variabilityreliability analysispiezocone penetration test |
spellingShingle | Jun Lin Jun Lin Xinyu Hou Xinyu Hou Guojun Cai Guojun Cai Songyu Liu Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test Frontiers in Earth Science uncertainty analysis ultimate axial bearing capacity spatial variability reliability analysis piezocone penetration test |
title | Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test |
title_full | Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test |
title_fullStr | Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test |
title_full_unstemmed | Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test |
title_short | Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test |
title_sort | uncertainty analysis of axial pile capacity in layered soils by the piezocone penetration test |
topic | uncertainty analysis ultimate axial bearing capacity spatial variability reliability analysis piezocone penetration test |
url | https://www.frontiersin.org/articles/10.3389/feart.2022.861086/full |
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