Haron, Z and Yahya, K (2009) Monte Carlo analysis for prediction of noise from a construction site. Journal of Construction in Developing Countries, 14(1), pp. 1-14. ISSN 1823-6499
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction; noise; prediction; stochastic |
| Index terms: | variation, construction site |
| Subjects: | work location, contractual condition |
| Topics: | Site Management, Contract Administration |
| Descriptive scope: | 1 P |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here