Artificial neural network for the prediction of the fresh properties of cementitious materials-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Artificial neural network for the prediction of the fresh properties of cementitious materials

Published:2022-06 Issue: Volume:156 Page:106761
ISSN:0008-8846
Container-title:Cement and Concrete Research
language:en
Short-container-title:Cement and Concrete Research

Author:

Charrier Malo,Ouellet-Plamondon Claudiane M.

Funder

Fonds de recherche du Québec – Nature et technologies

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction

Reference67 articles.

1. Complex concrete structures: merging existing casting techniques with digital fabrication;Lloret;Comput. Aided Des.,2015

2. Large-scale 3D printing of ultra-high performance concrete – a new processing route for architects and builders;Gosselin;Mater. Des.,2016

3. Mix design and fresh properties for high-performance printing concrete;Le;Mater. Struct.,2012

4. The mini-conical slump flow test: analysis and numerical study;Bouvet;Cem. Concr. Res.,2010

5. Spread is better: an investigation of the mini-slump test;Gao;Miner. Eng.,2015

Cited by 25 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. Augmented Data-Driven Approach towards 3D Printed Concrete Mix Prediction;Applied Sciences;2024-08-16

2. Revolutionizing 3D concrete printing: Leveraging RF model for precise printability and rheological prediction;Journal of Building Engineering;2024-07

3. Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base;Nature Communications;2024-06-07

4. Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing;Advanced Materials;2024-03-28

5. Strength Optimization of Nanocomposite Cementitious Materials Using Nanoscale Modifications;Periodica Polytechnica Civil Engineering;2024-03-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3