Work

Concrete Strength Prediction Using Machine Learning and Somersaulting Spider Optimizer

Year: 2026

Type: article

Abstract: Accurate prediction of concrete compressive strength is fundamental for optimizing mix designs, improving material utilization, and ensuring structural safety in modern construction. Traditional empirical methods often fail t... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.073555

Authors: Marwa M. Eid, Amel Ali Alhussan, Ebrahim A. Mattar, Nima Khodadadi, El-Sayed M. El-Kenawy

Institutions: University of Bahrain, Princess Nourah bint Abdulrahman University, University of Miami, Applied Science Private University, Jadara University, Delta University for Science and Technology

Language: English

Topic: Innovative concrete reinforcement materials

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W7119519839

FWCI: 5.056

Cites:

Cited by: 2

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