Determining Seismic Bearing Capacity of Footings Embedded in Cohesive Soil Slopes Using Multivariate Adaptive Regression Splines
Article
Article Title | Determining Seismic Bearing Capacity of Footings Embedded in Cohesive Soil Slopes Using Multivariate Adaptive Regression Splines |
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ERA Journal ID | 210664 |
Article Category | Article |
Authors | Lai, Van Qui (Author), Lai, Fengwen (Author), Yang, Dayu (Author), Shiau, Jim (Author), Yodsomjai, Wittawat (Author) and Keawsawasvong, Suraparb (Author) |
Journal Title | International Journal of Geosynthetics and Ground Engineering |
Journal Citation | 8, pp. 1-18 |
Article Number | 46 |
Number of Pages | 18 |
Year | 2022 |
Place of Publication | Germany |
ISSN | 2199-9260 |
2199-9279 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s40891-022-00390-2 |
Web Address (URL) | https://link.springer.com/article/10.1007/s40891-022-00390-2 |
Abstract | Seismic bearing capacity of strip footings in cohesive soil slopes considering various embedded depths is investigated in this study. Novel solutions using pseudo-static method and finite element limit analysis (FELA) with upper bound (LB) and lower bound (LB) theorems are presented. The influences of footing depth, slope angle, slope height, undrained shear strength and pseudo-static acceleration on bearing capacity and failure mechanisms are examined using dimensionless parameters. With the comprehensive numerical results, the multivariate adaptive regression splines (MARS) model is then utilized to simulate the sensitivity of all dimensionless input parameters (i.e., the normalized depth of footing D/B, the normalized slope height H/B, the normalized distance from top slope to edge of the footing L/B, slope angle β, the strength ratio cu/γB, and the pseudo-static acceleration factor, kh). The degree of influence of each design parameter is produced, and an empirical equation for the dimensionless output parameter (i.e., bearing capacity factor Nc) is proposed. The study results are accessible in the design charts, tables, empirical equation for design practitioners. |
Keywords | Bearing capacity; Footing on slope; Pseudo-static; Seismic; Finite element limit analysis; MARS |
ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
Byline Affiliations | Vietnam National University, Vietnam |
Southeast University, China | |
School of Engineering | |
Thammasat University, Thailand | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q78y5/determining-seismic-bearing-capacity-of-footings-embedded-in-cohesive-soil-slopes-using-multivariate-adaptive-regression-splines
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License: CC BY 4.0 | ||
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