Analyzes sound propagation to improve acoustic conditions in industrial settings, indicating effective noise reduction strategies.
Legislators and manufacturing clients often drive engineering firms to adopt noise reduction measures early in community projects. This paper introduces a mathematical model and simulation tools to analyze sound propagation impacts at acceptable distances by optimizing machine placement based on sound engineering principles. A 3D acoustic simulation program, employing a diffusion equation model, forecasts noise distribution levels before and after machine layout modifications using a genetic algorithm. Our study took place in a spinning factory, where the optimized machine layout improved indoor acoustic conditions from 91.22 dB to 88.17 dB. This framework effectively reduces the daily work exposure level (LEX, 8 h) in the textile industry by 3.344%.
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Eladly et al. (2026) studied this question.
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