Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
In recent years, the application of computational/artificial intelligence (CI/AI) in concrete structures and materials has gained popularity as evident in the search in the SCOPUS database using these keywords. The integration of CI/AI in concrete structures marks a significant advancement in civil...
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| Format: | Article |
| Language: | English |
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UNIMAS Publisher
2024
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| Online Access: | http://ir.unimas.my/id/eprint/46603/1/Editorial%20Notes%20-%20Application%20of%20Computational%20-%20Artificial%20Intelligence%20in%20Concrete%20Structures%20and%20Materials.pdf http://ir.unimas.my/id/eprint/46603/ https://publisher.unimas.my/ojs/index.php/JCEST/article/view/6794 https://doi.org/10.33736/jcest.6794.2024 |
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| Summary: | In recent years, the application of computational/artificial intelligence (CI/AI) in concrete structures and materials has gained popularity as evident in the search in the SCOPUS database using these keywords. The integration of CI/AI in concrete structures marks a significant advancement in civil engineering, offering innovative solutions across various stages of infrastructure development. From analysis and design to construction, monitoring, and maintenance, CI/AI technologies revolutionize traditional practices, enabling engineers to optimize concrete structures for enhanced performance, durability, and sustainability. Material design and optimization in concrete have also been propelled forward by CI/AI technologies. Traditional methods rely on trial-and-error, but CI/AI models analyze vast datasets to identify optimal mixtures with superior properties and resistance to environmental factors. Utilization of supplementary cementitious materials and industrial wastes introduces complexities, addressed by CI/AI's predictive capabilities for short- and long-term concrete properties. By minimizing waste and energy consumption, CI/AI-driven design fosters environmentally friendly formulations while ensuring structural integrity. Overall, CI/AI enhances prediction, optimization, and monitoring, ushering in a new era of resilient and sustainable concrete materials. These advancements also contribute to sustainable development by optimizing material usage, reducing waste, and improving energy efficiency, underscoring CI/AI’s transformative potential in shaping the future of concrete structures and materials. |
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