Forecasting the Bearing Capacity of Open-Ended Pipe Piles Using Machine Learning Ensemble Methods-Reference-Cited by-同舟云学术

Forecasting the Bearing Capacity of Open-Ended Pipe Piles Using Machine Learning Ensemble Methods

Published:2024-05-03 Issue: Volume:12 Page:146-156
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Container-title:IFCEE 2024
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Author:

Ozturk Baturalp¹²³,Kodsy Antonio¹²³,Iskander Magued¹²³

Affiliation:

1. Research Assistant, Dept. of Civil and Urban Engineering, NYU Tandon School of Engineering, Brooklyn, NY

2. Assistant Professor, Dept. of Civil Engineering, Coventry Univ. at the Knowledge Hub, Egypt

3. Professor and Chair, Dept. of Civil and Urban Engineering, NYU Tandon School of Engineering, Brooklyn, NY.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485408.016

Reference20 articles.

1. Bagging predictors

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3. Dennis N. D. and Olson R. E. (1983a). “Axial Capacity of Steel Pipe Piles in Clay.” Proceedings of the Conference on Geotechnical Practice on Offshore Engineering Austin TX USA 27–29 April; ASCE: Reston VA USA; pp. 370–388.

4. Dennis, N. D., and Olson, R. E. (1983b). “Axial Capacity of Steel Pipe Piles in Sand.” In Proceedings of the Conference on Geotechnical Practice on Offshore Engineering, Austin, TX, USA, 27–29 April; ASCE: Reston, VA, USA; pp. 389–402.

5. Forecasting of Pile Plugging Using Machine Learning;Kodsy A.;Acta Geotechnica,2023

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