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Research on the Performance of Concrete Mix Ratio Based on Artificial Intelligence Optimization Algorithm

  • Dan Yu,
  • Heng Xu,
  • Wenjie Hu,
  • Suyao Hu,
  • Baojuan Chen,
  • Guanghui Yin,
  • B. M. Manjula

摘要

With the development of computer informatization, various fields of engineering have gradually realized information means. The concrete mix ratio involves many parameters, and the mutual influence relationship between various parameters is complex and changeable. So, this paper proposes an intelligent analysis method based on artificial intelligence algorithm to predict the compressive strength of concrete mix ratio and construction mixing performance and constructs a target optimization model, which provides valuable guidance experience for reducing the time-consuming and laborious time of concrete mixing, improving the probability of successful mixing, and effectively improving concrete mechanics and construction pouring performance. This provides valuable guidance experience for reducing the time-consuming and laborious time of concrete mixing, improving the probability of successful mixing, and effectively improving the mechanics and construction pouring performance of concrete.