Title of article :
Monte Carlo Analysis for Prediction of Noise from a Construction Site
Author/Authors :
Haron, Zaiton Universiti Teknologi Malaysia - Faculty of Civil Engineering, MALAYSIA , Yahya, Khairulzan Universiti Teknologi Malaysia - Faculty of Civil Engineering, MALAYSIA
From page :
1
To page :
14
Abstract :
The large number of operations involving noisy machinery associated with construction site activities result in considerable variation in the noise levels experienced at receiver locations. This paper suggests an approach to predict noise levels generated from a site by using a Monte Carlo approach. This approach enables the determination of details regarding the statistical uncertainties associated with noise level predictions or temporal distributions. This technique could provide the basis for a generalised prediction technique and a simple noise management tool.
Keywords :
Noise , Prediction , Construction , Stochastic
Journal title :
Journal of Construction in Developing Countries
Journal title :
Journal of Construction in Developing Countries
Record number :
2589205
Link To Document :
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