Research on concrete early shrinkage characteristics based on machine learning algorithms for multi-objective optimization-Reference-Cited by-同舟云学术

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Research on concrete early shrinkage characteristics based on machine learning algorithms for multi-objective optimization

Published:2024-07 Issue: Volume:89 Page:109415
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Wang Jianqun^ORCID,Liu Heng,Sun Junbo^ORCID,Huang Bo^ORCID,Wang Yufei,Zhao Hongyu,Saafi Mohamed,Wang Xiangyu

Publisher

Elsevier BV

Reference56 articles.

1. Effects of reinforcement on autogenous deformation of early-age concrete containing CaO-based expansion agent;Zhao;Construct. Build. Mater.,2022

2. The influence of pipe-jacking tunneling on deformation of existing tunnels in soft soils and the effectiveness of protection measures;He;Transportation Geotechnics,2023

3. Experiment and application of NATM tunnel deformation Monitoring based on 3D Laser scanning;Hu;Struct. Control Health Monit.,2023

4. Research progress of SHM system for super high-rise buildings based on wireless sensor network and cloud platform;Yang;Rem. Sens.,2023

5. Effect of amount on expansion property of MgO-type expansive agent used in cement-based materials;Zhang,2011

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. Mechanical, alkali excitation, hydrothermal enhancement of 3D printed concrete incorporated with antimony tailings;Construction and Building Materials;2024-09

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