Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar

The use of naturally available materials such as metakaolin (MK) can greatly reduce the utilization of emission intensive materials like cement in the construction sector. This would reduce the stress on depleting natural resources and foster a sustainable construction industry. However, the laborat...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 19414 - 30
Hauptverfasser:	Khan, Naseer Muhammad, Ma, Liqiang, Inqiad, Waleed Bin, Khan, Muhammad Saud, Iqbal, Imtiaz, Emad, Muhammad Zaka, Alarifi, Saad S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 03.06.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166 704/172/4081 Algorithms Cement Cement mortar Civil engineering Compressive strength Construction industry Gene expression Gene expression programming Green development Humanities and Social Sciences Interpretable machine learning Learning algorithms Machine learning Metakaolin multidisciplinary Natural resources Prediction models Resource depletion Science Science (multidisciplinary) Metakaolin Interpretable machine learning Cement mortar Compressive strength Gene expression programming
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!