Machine learning approach for investigating compressive strength of self-compacting concrete containing supplementary cementitious materials and recycled aggregate-Reference-Cited by-同舟云学术

Machine learning approach for investigating compressive strength of self-compacting concrete containing supplementary cementitious materials and recycled aggregate

Published:2023-11 Issue: Volume:79 Page:107904
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Huang Peng,Dai Kuangyu^ORCID,Yu Xiaohui

Funder

Key Scientific Research Project of Colleges and Universities in Henan Province

China Postdoctoral Science Foundation

Henan Province Natural Science Foundation

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference82 articles.

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3. Construction and demolition waste management in China through the 3R principle;Huang;Resour. Conserv. Recycl.,2018

4. Advancing Sustainable Materials Management: 2015 Fact Sheet,2018

5. National Waste Report 2018;Pickin,2018

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