AI-guided auto-discovery of low-carbon cost-effective ultra-high performance concrete (UHPC)
Author:
Publisher
Elsevier BV
Subject
Economics and Econometrics,Waste Management and Disposal
Reference123 articles.
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3. Four-layer perceptron approach for strength prediction of UHPC;Abellán-García;Construction and Build. Mater.,2020
4. Random forest-based optimization of UHPFRC under ductility requirements for seismic retrofitting applications;Abellán-García;Construction and Build. Mater.,2021
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3. Automated design of architectured polymer-concrete composites with high specific flexural strength and toughness using sequential learning;Construction and Building Materials;2024-10
4. Understanding and predicting micro-characteristics of ultra-high performance concrete (UHPC) with green porous lightweight aggregates: Insights from machine learning techniques;Construction and Building Materials;2024-10
5. Smart material selection strategies for sustainable and cost-effective high-performance concrete production using deep learning;Automatika;2024-09-10
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