A novel framework for developing environmentally sustainable and cost-effective ultra-high-performance concrete (UHPC) using advanced machine learning and multi-objective optimization techniques-Reference-Cited by-同舟云学术

A novel framework for developing environmentally sustainable and cost-effective ultra-high-performance concrete (UHPC) using advanced machine learning and multi-objective optimization techniques

Published:2024-02 Issue: Volume:416 Page:135114
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Wakjira Tadesse G.,Kutty Adeeb A.,Alam M. Shahria

Funder

Mitacs

Publisher

Elsevier BV

Reference53 articles.

1. I.E.A., Cemen. I.E.A. Paris. 〈https://www.iea.org/reports/cement〉, License: CC BY 4.0, (2022).

2. U.S. Geological Survey, Mineral commodity summaries 2023: U.S. Geological Survey, 210 p., https://doi.org/10.3133/mcs2023, (2023).

3. Carbon sequestration and storage in concrete: a state-of-the-art review of compositions, methods, and developments;Kazemian;J. CO2 Util.,2023

4. New development of ultra-high-performance concrete (UHPC);Du;Compos. Part B Eng.,2021

5. Using mixture design method for developing and optimizing eco-friendly ultra-high performance concrete characteristics;Tahwia;Case Stud. Constr. Mater.,2023

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shear improvement of defected RC beams with sustainable aluminum boxes incorporating high performance concretes;Case Studies in Construction Materials;2024-12

2. Seismic retrofit of intact and damaged RC columns using prefabricated steel cage-reinforced UHPC jackets and NSM GFRP bars;Engineering Structures;2024-10

3. Performance-based seismic design of Ultra-High-Performance Concrete (UHPC) bridge columns with design example – Powered by explainable machine learning model;Engineering Structures;2024-09

4. Use of fresh properties to predict mechanical properties of sustainable concrete incorporating recycled concrete aggregate;Journal of Sustainable Cement-Based Materials;2024-08-09

5. A novel ensemble learning approach to extract urban impervious surface based on machine learning algorithms using SAR and optical data;International Journal of Applied Earth Observation and Geoinformation;2024-08