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Prediction and deployment of compressive strength of high-performance concrete using ensemble learning techniques

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Year: 2024
Type: article
Source: Construction and Building Materials
DOI: 10.1016/j.conbuildmat.2024.138808
Authors: Ridwan Taiwo, Abdul-Mugis Yussif, Adesola Habeeb Adegoke, Tarek Zayed
Institutions: Hong Kong Polytechnic University, ETH Zurich, Institute of Construction and Infrastructure Management, Arizona State University
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: closed

Funders: Hong Kong Polytechnic University, Innovation and Technology Fund, Department of Building and Real Estate, Hong Kong Polytechnic University
Award: Modeling and Analysis of Water Pipe Failure: Investigate Causes, Find Solutions, and Develop Potential Strategies, Polices, and Regulations
OpenAlex ID: W4403831355
FWCI: 3.893
Cites: 56
Cited by: 23
Related to: 10
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