Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Author: Ng, Chee Khoon
Format: Article
Language:English
Published: UNIMAS Publisher 2024
Subjects:
TA Engineering (General). Civil engineering (General)
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
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir-46603
record_format eprints
spelling my.unimas.ir-466032024-11-13T02:54:58Z http://ir.unimas.my/id/eprint/46603/ Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials Ng, Chee Khoon TA Engineering (General). Civil engineering (General) 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. UNIMAS Publisher 2024-04-29 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46603/1/Editorial%20Notes%20-%20Application%20of%20Computational%20-%20Artificial%20Intelligence%20in%20Concrete%20Structures%20and%20Materials.pdf Ng, Chee Khoon (2024) Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials. Journal of Civil Engineering, Science and Technology, 15 (1). pp. 1-6. ISSN 2462-1382 https://publisher.unimas.my/ojs/index.php/JCEST/article/view/6794 https://doi.org/10.33736/jcest.6794.2024
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Ng, Chee Khoon
Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
description 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.
format Article
author Ng, Chee Khoon
author_facet Ng, Chee Khoon
author_sort Ng, Chee Khoon
title Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
title_short Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
title_full Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
title_fullStr Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
title_full_unstemmed Editorial Notes: Application of Computational/Artificial Intelligence in Concrete Structures and Materials
title_sort editorial notes: application of computational/artificial intelligence in concrete structures and materials
publisher UNIMAS Publisher
publishDate 2024
url 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
_version_ 1817848735676235776
score 13.244413

Similar Items