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Interior noise analysis of a construction equipment cabin based on airborne and structure-borne noise predictions
Authors:Sung-Hee Kim  Suk-Yoon Hong  Jee-Hun Song  Won-Ho Joo
Affiliation:1.Department of Naval Architecture and Ocean Engineering,Seoul National University,Seoul,Korea;2.Department of Naval Architecture and Ocean Engineering,Chonnam National University,Chonnam,Korea;3.Hyundai Maritime Research Institute,Hyundai Heavy Industries Co Ltd,Ulsan,Korea
Abstract:Noise from construction equipment affects not only surrounding residents, but also the operators of the machines. Noise that affects drivers must be evaluated during the preliminary design stage. This paper suggests an interior noise analysis procedure for construction equipment cabins. The analysis procedure, which can be used in the preliminary design stage, was investigated for airborne and structure-borne noise. The total interior noise of a cabin was predicted from the airborne noise analysis and structure-borne noise analysis. The analysis procedure consists of four steps: modeling, vibration analysis, acoustic analysis and total interior noise analysis. A mesh model of a cabin for numerical analysis was made at the modeling step. At the vibration analysis step, the mesh model was verified and modal analysis and frequency response analysis are performed. At the acoustic analysis step, the vibration results from the vibration analysis step were used as initial values for radiated noise analysis and noise reduction analysis. Finally, the total cabin interior noise was predicted using the acoustic results from the acoustic analysis step. Each step was applied to a cabin of a middle-sized excavator and verified by comparison with measured data. The cabin interior noise of a middle-sized wheel loader and a large-sized forklift were predicted using the analysis procedure of the four steps and were compared with measured data. The interior noise analysis procedure of construction equipment cabins is expected to be used during the preliminary design stage.
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