Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated temperature-Reference-Cited by-同舟云学术

Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated temperature

Published:2023-10 Issue: Volume:400 Page:132814
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Kumar Dash Pankaj,Kumar Parhi Suraj,Kumar Patro Sanjaya,Panigrahi Ramakanta

Publisher

Elsevier BV

Subject

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

Reference71 articles.

1. The greening of the concrete industry;Meyer;Cem. Concr. Compos.,2009

2. The past and future of sustainable concrete: A critical review and new strategies on cement-based materials;de Brito;J. Clean. Prod.,2021

3. Parametric studies of cement production processes;John;J. Energy,2020

4. Use of non-recycled plastics and paper as alternative fuel in cement production;(Thanos) Bourtsalas;J. Clean. Prod.,2018

5. Impact of Construction Material on Environment;Mehra,2022

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