Vibration Control of Forestry Storage Ventilation Fans Through Structural Parameter Optimization Considering Substructure Uncertainty

Abstract

The operational stability and vibration performance of large-scale ventilation fans used in forestry storage facilities are critical for ensuring the safety and environmental control of timber and wood-based materials. To effectively reduce vibration levels and mitigate resonance risks, this study proposes a structural parameter optimization method that explicitly considers substructure uncertainty. By establishing an interval uncertainty optimization model, critical substructures and key structural parameters affecting natural frequencies were systematically identified. Structural parameters were optimized using response surface methodology to maximize the separation between the fan’s natural frequencies and its operating frequency, thereby reducing the likelihood of resonance. Experimental results validated a substantial reduction in vibration levels, confirming the method’s effectiveness in enhancing operational stability and prolonging the service life of these large-scale ventilation systems. This approach provides valuable insights and practical guidance for vibration control and reliability improvement of mechanical equipment in forestry storage and environmental control systems