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Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks

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Bibliographic Details
Published in:International Journal of Concrete Structures and Materials
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Concrete Structures and Materials
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:32955
institution FRELIP
journal_source_facet International Journal of Concrete Structures and Materials
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
title_auth Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
title_full Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
title_fullStr Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
title_full_unstemmed Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
title_short Evaluation of Foamed Concrete Properties Containing Engineered Pozzolans and Compressive Strength Prediction Through Artificial Neural Networks
title_sort evaluation of foamed concrete properties containing engineered pozzolans and compressive strength prediction through artificial neural networks
topic Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://link.springer.com/article/10.1186/s40069-026-00896-3