PREDICTION OF NOISE FROM CONSTRUCTION SITES USING, ARTIFICIAL NEURAL NETWORKS (ANN)

摘要

This paper presents the results of noise survey at 26 construction sites in Kuwait,representing different phases of construction. Noise was measured at 5, 10 and 15 mfrom the construction equipments. The mean measured noise levels increased withproject size. The mean measured noise levels increased with project size. Mean L_(eq)observed were 74.6 dBA, 77.7 dBA and 78.4 dBA for small, medium, and largeprojects, respectively. The noise level was also dependent upon the type ofequipment. Electric generators produced a mean noise level of 86.3 dBA, whereas anelectric drill produced a mean L_(eq) of 71.6 dBA. Casting stage, type of equipment anddistance of measurement were modeled as input variables to predict the equivalentnoise level, Leq, using back propagation architecture of Artificial Neural Network(ANN). Over 93% of the predicted values of the noise levels using this models wereclose to the observed values within a range of 5% error.