Developing predictive models for the load-displacement response of laterally loaded reinforced concrete piles in stiff unsaturated clay using machine learning algorithms-Reference-Cited by-同舟云学术

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Developing predictive models for the load-displacement response of laterally loaded reinforced concrete piles in stiff unsaturated clay using machine learning algorithms

Published:2024-06 Issue: Volume:64 Page:106532
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Braun K.T.,Markou G.,Jacobsz S.W.,Calitz D.

Publisher

Elsevier BV

Reference42 articles.

1. AI-based shear capacity of FRP-reinforced concrete deep beams without stirrups;Alhamaydeh;Eng Struct,2022

2. Soil-foundation-structure interaction analysis;Al-Hussaini,2019

3. The mechanics of soils: an introduction to critical state soil mechanics;Atkinson,1978

4. Gradient free stochastic training of ANNs, with local approximation in partitions;Bakas;Stoch Environ Res Risk Assess,2023

5. Analysis of laterally loaded piles in multilayered soil deposits;Basu;Jt Transp Res Program,2008

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Corrigendum to “Developing predictive models for the load-displacement response of laterally loaded reinforced concrete piles in stiff unsaturated clay using machine learning algorithms“ [Structures 64 (2024) 1–15/106532];Structures;2024-07

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