Abstract: This paper proposed an intelligent inversion method for design parameters of steel frame structures based on intelligent optimization algorithms. It incorporated regulatory constraints and prior knowledge into the calculation, constructed a general workflow for intelligent inversion, and improved the inversion efficiency by improving the hybrid algorithm. Preliminary research results showed that compared with traditional methods, the new method had obvious advantages in accuracy and efficiency, providing a new solution for the maintenance of building structures.

Key words: steel frame, intelligent inversion, rule constraints, genetic algorithm, hybrid algorithm