Estimation of pile-bearing capacity applying hybrid auto-regressed models based on regression decision tree-Reference-Cited by-同舟云学术

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Estimation of pile-bearing capacity applying hybrid auto-regressed models based on regression decision tree

Published:2023-12-30 Issue: Volume: Page:
ISSN:2520-8160
Container-title:Multiscale and Multidisciplinary Modeling, Experiments and Design
language:en
Short-container-title:Multiscale and Multidiscip. Model. Exp. and Des.

Author:

Yunpeng Li,Shenghuan Dong,Yingbin Jian,Yuqian Mei

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Mechanics of Materials,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s41939-023-00330-1.pdf

Reference54 articles.

1. A. D4945 (2017) Standard test method for high-strain dynamic testing of deep foundations. In: American Society of Testing and Materials, 2017

2. Ahmad M, Tang X-W, Ahmad F, Jamal A (2018) Assessment of soil liquefaction potential in Kamra, Pakistan. Sustainability 10(11):4223

3. Ahmad M, Tang X-W, Qiu J-N, Ahmad F (2019) Evaluating seismic soil liquefaction potential using Bayesian belief network and C4.5 decision tree approaches. Appl Sci 9(20):4226

4. Ahmad M, Al-Shayea NA, Tang X-W, Jamal A, Al-Ahmadi HM, Ahmad F (2020) Predicting the pillar stability of underground mines with random trees and C4.5 decision trees. Appl Sci 10(18):6486

5. Ahmad M et al (2021a) Rockburst hazard prediction in underground projects using two intelligent classification techniques: a comparative study. Symmetry (basel) 13(4):632

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1. An Evolutionary Polynomial Computing of Pile Capacity Using the Results of High-strain Dynamic Test;Transportation Infrastructure Geotechnology;2024-05-11

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