Pseudo-static bearing capacity of strip footing with vertical skirts resting on cohesionless slopes by finite element limit analysis-Reference-Cited by-同舟云学术

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Pseudo-static bearing capacity of strip footing with vertical skirts resting on cohesionless slopes by finite element limit analysis

Published:2020-07-16 Issue: Volume: Page:1-14
ISSN:1748-6025
Container-title:Geomechanics and Geoengineering
language:en
Short-container-title:Geomechanics and Geoengineering

Author:

Beygi Majid¹^ORCID,Vali Ramin²^ORCID,Keshavarz Amin³^ORCID

Affiliation:

1. Department of Civil Engineering, Yazd University, Yazd, Iran

2. Department of Civil Engineering, Faculty of Shahid Mohajer, Isfahan Branch, Technical and Vocational University (TVU), Isfahan, Iran

3. Associate Professor, School of Engineering, Persian Gulf University, Bushehr, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology

Link

https://www.tandfonline.com/doi/pdf/10.1080/17486025.2020.1794058

Reference42 articles.

1. Performance of square footing with structural skirt resting on sand

2. The use of skirts to improve the performance of a footing in sand

3. The effect of rotational stiffness on the behaviour of retaining wall

4. Numerical modelling of a hybrid skirted foundation under combined loading

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1. Innovative approaches for predicting seismic stability of circular and rectangular tunnels in cohesive-frictional soils using machine learning and finite element limit analysis;Modeling Earth Systems and Environment;2024-06-28

2. Probabilistic Analysis of the Seismic Bearing Capacity of Strip Footings Using RAFELA and MARS;Geotechnical and Geological Engineering;2024-06-28

3. Developing a novel big dataset and a deep neural network to predict the bearing capacity of a ring footing;Journal of Rock Mechanics and Geotechnical Engineering;2024-05

4. Seismic Bearing Capacity of Strip Footings with Modified Pseudo-dynamic Method;KSCE Journal of Civil Engineering;2024-02-15

5. Seismic Stability Assessment of Rock Slopes Using Multivariate Adaptive Regression Splines;Transportation Infrastructure Geotechnology;2024-02-15

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