Artificial Intelligence in Automated Concrete Mix Design Using Computerized Grading Curves
Chetan G. KonapureDepartment of Civil Engineering, Walchand Institute of Technology, Solapur, IndiaDigvijay PandeyDepartment of Technical Education, Government of Uttar Pradesh, IndiaHemant SheteChetan M. ThakarDepartment of Mechanical Engineering, Savitribai Phule Pune University, IndiaBinay Kumar PandeyDepartment of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, IndiaA. Shaji George
2024en
ABI
Аннотация
Concrete mix design is a critical process in construction, influencing the strength, durability, and workability of concrete. Traditional methods of mix design, such as empirical and analytical approaches, often involve trial-and-error techniques that can be time-consuming and imprecise. With advancements in artificial intelligence (AI), new methods for optimizing concrete mixes have emerged, offering enhanced accuracy and efficiency. This paper reviews the integration of AI into automated concrete mix design, with a specific focus on the role of computerized grading curves in optimizing aggregate distribution.
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