Research on algorithm model of curtain wall system performance analysis and civil engineering structure optimization

This paper proposes a hybrid optimisation framework for curtain wall structures that combines the Hybrid Reinforcement Mechanism (HRM) with the Grey Wolf Optimiser (GWO). The suggested approach will start with the structural modeling under varied environmental and mechanical loads, followed by finite element analysis to extract key performance indicators such as stress distribution, thermal insulation, and deformation. These parameters are processed within the HRM-GWO framework, where HRM adaptively learns structural responses while GWO efficiently searches for optimal solutions in material selection, geometry, and connection design. The hybrid approach ensures faster convergence and avoids local minima. Simulation results show improved load-bearing capacity, reduced thermal transfer, and better material efficiency compared to traditional methods. Additionally, the framework reduces computational time by about 34 % relative to full-search FEA-based optimization while maintaining high accuracy. Overall, the proposed approach demonstrates strong potential for efficient, multi-objective optimisation of curtain wall designs in civil engineering.