Optimization Design of High-Strength Concrete Mix Proportion Based on Machine Learning

The construction industry has higher and higher requirements for concrete. Therefore, how to choose new materials with high efficiency, high quality, and low energy consumption is an urgent problem to be solved in construction engineering. Based on the establishment of the main performance index and dosage model of concrete, this paper studies the evaluation system of high-strength concrete mix ratio and applicability evaluation method for buildings under different kinds of high-strength aggregate mix ratio parameters, and carries out analysis and verification. The results show that when the cement mortar is combined with the ordinary silicate wall base, the unit weight of lightweight high-strength concrete in the low-strength building structure is about 4.9/kgm3.