Classification Model for Estimating Demolition Waste Generation Considering Structure Types and Wall Material of Detached House by ANOVA Analysis

Article Preview

Abstract:

Construction activity in South Korea must entail the process of demolition. There is such a high sense of awareness of the importance of managing ever-increasing quantities of demolition waste. To ensure efficient management of demolition waste, it is critical to quantitatively estimate the amount of demolition waste. Based on such need, this study examined the sub-divided categorization models to predict the amount of demolition waste generation rates (DWGs). For the execution of study, the present researchers collected the data on DWGs from 394 buildings based on the mass balance principles. On the basis of the collected DWGs data, ANOVA analysis was performed to compare mean differences in structure and wall materials. Results of the analysis showed that the amount of DWGs varied, depending on the structure of buildings and the wall materials used. The results also indicated that describing even a single type of DWGs discarded from buildings would require multiple estimation models for demolition waste generation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

191-195

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ki-Deok. Shin, Changes in the 21st Century Built Environment, Construction Investment and Long-term Outlook, Research report published in Korean. CERIK: Construction & Economy Research Institute of Korea, pp.122-124 (2002).

Google Scholar

[2] Ministry of Environment, Construction Waste Recycling Promotion Act, Republic of Korea (2013).

Google Scholar

[3] W.S. Lu, H.P. Yuan, J.R. Li, J.J.L. Hao, X.M. Mi, Z.K. Ding, An emperical investigation of construction and demolition waste generation rates in Shenzhen city, South China, Waste Management 31, 680−687(2011).

DOI: 10.1016/j.wasman.2010.12.004

Google Scholar

[4] J.R. Li, Z.K. Ding, X.M. Mi, J.Y. Wang, A model for estimating construction waste generation index for building project in china, Resources, Conservation and Recycling 74, 20−26(2013).

DOI: 10.1016/j.resconrec.2013.02.015

Google Scholar