Predicting compressive and splitting tensile strength of high volume fly ash roller compacted concrete using ANN and ANN-biogeography based optimization models

Predicting compressive and splitting tensile strength of high volume fly ash roller compacted concrete using ANN and ANN-biogeography based optimization models

Abstract Roller compacted concrete (RCC) has gained prominence in the construction industry due to its durability, cost-effectiveness, and environmental benefits, particularly with the incorporation of high-volume fly ash (HVFA). However, traditional experimental approaches to evaluating RCC’s mecha...

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Bibliographic Details
Main Authors: Murteda Unverdi, Ramin Kazemi, Yahya Kaya, Naz Mardani, Ali Mardani, Seyedali Mirjalili
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Roller compacted concrete
Fly ash
Compressive strength
Splitting tensile strength
Artificial intelligence
Optimization technique
Online Access:https://doi.org/10.1038/s41598-025-05700-y
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https://doi.org/10.1038/s41598-025-05700-y

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