Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall-Reference-Cited by-同舟云学术

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Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall

Published:2024-09 Issue: Volume:429 Page:117157
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zhang Xiangyu^ORCID,Zhang Yang,Liew K.M.^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Impact forces of water drops falling on superhydrophobic surfaces;Zhang;Phys. Rev. Lett.,2022

2. Water droplet bouncing dynamics;Yu;Nano Energy,2021

3. Three dimensional numerical computations on the fast filling of a hydrogen tank under different conditions;Suryan;Int. J. Hydrog. Energy,2012

4. CFD simulations of filling and emptying of hydrogen tanks;Melideo;Int. J. Hydrog. Energy,2017

5. An overpressure-time history model of methane-air explosion in tunnel-shape space;Chen;J. Loss. Prev. Process. Ind.,2023

Cited by 2 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. Peridynamics-fueled convolutional neural network for predicting mechanical constitutive behaviors of fiber reinforced composites;Computer Methods in Applied Mechanics and Engineering;2024-11

2. An innovative three-dimensional computational fluid dynamics-iterative ensemble Kalman filter model for the prediction of heavy gas leakage and dispersion in enclosed workplaces: Case study for hydrogen sulfide leakage;Physics of Fluids;2024-08-01

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