Advancing Compressive Strength Prediction in Self-Compacting Concrete via Soft Computing: A Robust Modeling Approach

Advancing Compressive Strength Prediction in Self-Compacting Concrete via Soft Computing: A Robust Modeling Approach

Self-Compacting Concrete (SCC) is a unique type of concrete that can flow and fill spaces without the need for vibrating compaction, resulting in a dense and uniform material. This article focuses on predicting the compressive strength of SCC using Artificial Neural Networks. Specifically, the study...

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Bibliographic Details
Main Authors: Ali Ghorbani, Hamidreza Maleki, Hosein Naderpour, Seyed Mohammad Hossein Khatami
Format: Article
Language:English
Published: Pouyan Press 2024-01-01
Series:Journal of Soft Computing in Civil Engineering
Subjects:
self-compacting concrete
compressive strength prediction
artificial neural network
sensitivity analysis
robust approach
Online Access:https://www.jsoftcivil.com/article_172919_e4a64a2d6241e5dfee57064f5b7318d2.pdf

Internet

https://www.jsoftcivil.com/article_172919_e4a64a2d6241e5dfee57064f5b7318d2.pdf

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