Machine learning calculation model for hydrodynamic lubrication characteristics of a miter gate bottom pivot-Reference-Cited by-同舟云学术

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Machine learning calculation model for hydrodynamic lubrication characteristics of a miter gate bottom pivot

Published:2022-09 Issue: Volume:142 Page:1-9
ISSN:0955-7997
Container-title:Engineering Analysis with Boundary Elements
language:en
Short-container-title:Engineering Analysis with Boundary Elements

Author:

Xu Xiang,Guan Zhengguo,Li Zhixiong^ORCID,Sulowicz Maciej,Królczyk Grzegorz,Dai Tiancan,Zhao Xinze

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Engineering,Analysis

Reference19 articles.

1. Automated damage detection in miter gates of navigation locks;Eick;Struct Control Health Monit,2018

2. Recent structural developments in miter gates for navigation locks (in English);Daniel;Inz Morska Geotech (Mar Eng Soil Technol),2018

3. Study on surface wear of gate bottom pivot based on multi-notch measurement;Xinze;Wear,2020

4. Data quality matters: a case study on data label correctness for security bug report prediction;Wu;IEEE Trans Softw Eng,2021

5. Yarn on yarn abrasion failure mechanism of ultrahigh molecular weight polyethylene fiber;Chunfu;J Eng Fibers Fabr,2021

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1. AI for tribology: Present and future;Friction;2024-03-12

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