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صفحه اصلی
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International Conference on Artificial Intelligence; City, Industry and Health
A Review on Optimizing Concrete Production Using Artificial Intelligence: Challenges and Opportunities
نویسندگان :
Behrooz Foroughi
1
Leyla Adelzade.saadabadi
2
1- Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2- Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
کلمات کلیدی :
artificial intelligence،concrete optimization،construction industry
چکیده :
The rapid advancement of artificial intelligence (AI) technologies is transforming concrete construction, an area that is critical and resilient to innovation. Key challenges include the demand for high-quality, large-volume data, the complexity of concrete behavior influenced by various factors, high costs associated with implementing new technologies, and resistance to change within the construction industry. These obstacles significantly influence AI's role in optimizing concrete production processes. However, substantial opportunities also exist. Utilizing big data analysis, advanced modeling, behavioral simulations, quality control, and process improvements can enhance quality and reduce costs. AI can also address environmental concerns by optimizing raw material ratios, leading to more sustainable and eco-friendly structures. Ultimately, the future of concrete construction optimization using AI relies on close collaboration among researchers, engineers, and manufacturers. This collaboration is essential for leveraging the full potential of these technologies and overcoming existing barriers. This paper aims to provide a comprehensive overview of the current and future status of concrete construction optimization through AI, proposing strategies to navigate challenges and take advantage of emerging opportunities.
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