Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach
Author:
Publisher
Elsevier BV
Subject
Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference121 articles.
1. Reducing the environmental impact of concrete;Mehta;Concr. Int.,2001
2. Properties of Concrete;Neville,1995
3. Experimental production of sustainable lightweight foamed concrete;Richard;Br. J. Appl. Sci. Technol.,2013
4. A qualitative study of green building indexes rating of lightweight foam concrete;Richard;J. Sustain. Dev.,2011
5. Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate;Mehrabi;Construct. Build. Mater.,2021
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