基于机器学习的韩国 F 型粉煤灰反应性预测

IF 3.6 3区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY International Journal of Concrete Structures and Materials Pub Date : 2023-11-22 DOI:10.1186/s40069-023-00622-3
Woo-Young Park, Juhyuk Moon
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Machine Learning Based Reactivity Prediction of Fly Ash Type F Produced from South Korea
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来源期刊
International Journal of Concrete Structures and Materials
International Journal of Concrete Structures and Materials CONSTRUCTION & BUILDING TECHNOLOGY-ENGINEERING, CIVIL
CiteScore
6.30
自引率
5.90%
发文量
61
审稿时长
13 weeks
期刊介绍: The International Journal of Concrete Structures and Materials (IJCSM) provides a forum targeted for engineers and scientists around the globe to present and discuss various topics related to concrete, concrete structures and other applied materials incorporating cement cementitious binder, and polymer or fiber in conjunction with concrete. These forums give participants an opportunity to contribute their knowledge for the advancement of society. Topics include, but are not limited to, research results on Properties and performance of concrete and concrete structures Advanced and improved experimental techniques Latest modelling methods Possible improvement and enhancement of concrete properties Structural and microstructural characterization Concrete applications Fiber reinforced concrete technology Concrete waste management.
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