Optimizing Anti-Ultraviolet Transmission in Multilayer Glass Using Particle Swarm Optimization

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 300400 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.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-15
DOI
https://doi.org/10.54254/2755-2721/94/2024melb0077
Citations
1
Primary Topic
Advanced optical system design
Type
article
Field-Weighted Citation Impact
0.18
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article

Optimizing Anti-Ultraviolet Transmission in Multilayer Glass Using Particle Swarm Optimization

Yi Ling
1 citations
Applied and Computational Engineering
Advanced optical system design
0.18
article

Optimizing Anti-Ultraviolet Transmission in Multilayer Glass Using Particle Swarm Optimization

Yi Ling
article en
1 citations

Abstract

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 300400 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.

Applied and Computational EngineeringVol. 94(1)
Nanjing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 51%
Advanced optical system design
0.18
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Optimizing Anti-Ultraviolet Transmission in Multilayer Glass Using Particle Swarm Optimization — Yi Ling · Applied and Computational Engineering (2024) | TGRS Research Map | TGRS