Optimization application of particle swarm algorithm in civil engineering

In the construction and development of modern society, civil engineering as the basis of promoting the steady development of the industry economy and ensuring the stability of urban residents' lives, with the continuous innovation of social economy and science and technology, is now facing severe challenges and rich opportunities. Particle swarm optimization (PSO), as a simulation of bird predation process, can obtain the optimal solution of searching space, and its application in civil engineering structure optimization and damage detection can help workers find the existing problems faster, and put forward effective solutions. Therefore, on the basis of understanding the development status of modern civil engineering technology, according to particle swarm optimization algorithm and improved scheme, this paper deeply discusses how to apply particle swarm optimization algorithm in the damage detection of civil engineering structures. The final experimental results show that the improved particle swarm optimization algorithm has unique application advantages and plays an important role in civil engineering.