Optimizing Anti-Ultraviolet Transmission in Multilayer Glass Using Particle Swarm Optimization
Year: 2024
Type: article
Abstract: This paper introduces an innovative three-layer window glass design optimized using particle swarm optimization (PSO) to achieve reduced ultraviolet (UV) transmission, particularly targeting the 300–400 nm wavelength range. PSO, recognized for its capability to handle nonlinear optimization problems effectively, was applied to determine the optimal thickness of each glass layer, aiming to minimize UV transmission as quantified by a fitness function based on the total transmitted energy. The outcomes highlight significant enhancements in UV shielding capabilities of the optimized glass structure over traditional designs. This study not only underscores the efficacy of PSO in refining material properties but also positions it as a valuable tool for advancing green building technologies and energy-efficient solutions. By reducing UV transmission, the optimized glass contributes to better indoor environmental quality and health protection, presenting new possibilities for the application of multi-layer glass in various sectors. These results advocate for broader application and further validation of PSO in material optimization, paving the way for innovations in architectural and environmental design.
Author: Yicheng Ling
Institution: Nanjing University of Posts and Telecommunications
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404459687