Equivalent structural parameters based non-destructive prediction of sustainable concrete strength using machine learning models via piezo sensor

Author:

Bansal Tushar,Talakokula Visalakshi,Mathiyazhagan Kaliyan

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference87 articles.

1. Indian Cement Industry Analysis, 2018. https://www.ibef.org/industry/cement-presentation (accessed 6.4.19).

2. Influence of rice husk ash on mechanical properties and fire resistance of recycled aggregate high-calcium fly ash geopolymer concrete;Nuaklong;J. Clean. Prod.,2020

3. Influence of activated fly ash on corrosion-resistance and strength of concrete;Saraswathy;Cem. Concr. Compos.,2003

4. Performance of masonry blocks containing different proportions of incinator bottom ash;Holmes;Sustain. Mater. Technol.,2016

5. Effect of coal bottom ash as partial replacement of sand on workability and strength properties of concrete;Singh;J. Clean. Prod.,2016

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