Experimental investigation and AI prediction modelling of ceramic waste powder concrete – An approach towards sustainable construction - 成果

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Experimental investigation and AI prediction modelling of ceramic waste powder concrete – An approach towards sustainable construction

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成果类型：

期刊论文

作者：

Yang, Jianyu;Jiang, Pengxiao;Nassar, Roz-Ud-Din;Suhail, Salman Ali;Sufian, Muhammad;...

作者机构：

[Yang, Jianyu] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410000, Hunan, Peoples R China.

[Jiang, Pengxiao] China Construction Fifth Engn Div Corp Lt, Changsha 410000, Hunan, Peoples R China.

[Nassar, Roz-Ud-Din] Amer Univ Ras Al Khaimah, Dept Civil & Infrastruct Engn, Ras Al Khaymah, U Arab Emirates.

[Suhail, Salman Ali] Univ Lahore UOL, Dept Civil Engn, Lahore 54590, Pakistan.

[Sufian, Muhammad] Southeast Univ, Sch Civil Engn, Nanjing 210096, Peoples R China.

语种：

英文

关键词：

Ceramic waste powder;Waste;Construction material;Building material;Concrete

期刊：

Journal of Materials Research and Technology

ISSN：

2238-7854

年：

2023

卷：

页码：

3676-3696

DOI：

10.1016/j.jmrt.2023.02.024

基金类别：

National Natural Science Foundation of China [52209155]

机构署名：

本校为第一机构

院系归属：

土木工程学院

摘要：

The ceramic waste powder (CWP) is generated in the ceramic industry during the cutting and polishing stages. It is harmful to the environment and needs a massive area for disposal. Therefore, an alternative way is required to reduce the environmental pollution and landfill caused by CWP. The aim of the study is to establish an Artificial Intelligence (AI) model for CWP concrete from the experimental results to save time and cost. Advancements in AI have made the estimation of concrete mechanical characteristics possible by employing Machine Learning (ML) approaches. In the current study, 60 co...

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