Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished UAE buildings: Experimental and machine learning-based studies-Reference-Cited by-同舟云学术

Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished UAE buildings: Experimental and machine learning-based studies

Published:2023-05 Issue: Volume:380 Page:131278
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Al Martini Samer,Sabouni Reem,Khartabil Ahmad^ORCID,Wakjira Tadesse G.^ORCID,Shahria Alam M.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference54 articles.

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