Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/DACFA68A-0DC6-4032-BDA0-614CEA5A6C38 | - |
| Identifier | https://www.tandfonline.com/doi/abs/10.1080/19648189.2016.1150899?journalCode=tece20 | - |
| Identifier | https://doi.org/10.1080/19648189.2016.1150899 | - |
| Language | en | - |
| Extent | 23 pages | en |
| Title | LCA of timber and steel buildings with fuzzy variables uncertainty quantification | en |
| Creator | Kaziolas, Dimitrios N | en |
| Creator | Zygomalas, Iordanis | en |
| Creator | Stavroulakis Georgios | en |
| Creator | Σταυρουλακης Γεωργιος | el |
| Creator | Baniotopoulos, Charalambos C | en |
| Publisher | Taylor & Francis | en |
| Content Summary | Steel and timber structures constitute a construction technology which holds significant potential in terms of sustainability and are therefore selected as sustainable solutions for the construction of housing, commercial or other types of building projects. This paper consists of two parts. Firstly, to quantify the sustainability potential of timber and steel construction by calculating the environmental impact caused throughout the life cycle of a steel-framed residential building and a timber building. The calculation has been extended with the usage of fuzzy variables that represent uncertainty of the various parameters involved. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-03-29 | - |
| Date of Publication | 2017 | - |
| Subject | Environmental impact | en |
| Subject | Fuzzy variables | en |
| Subject | LCA | en |
| Subject | Life-cycle assessment | en |
| Subject | Steel structures | en |
| Subject | Sustainable development | en |
| Subject | Timber structures | en |
| Bibliographic Citation | D. N. Kaziolas, I. Zygomalas, G. Ε. Stavroulakis and C. C. Baniotopoulos, "LCA of timber and steel buildings with fuzzy variables uncertainty quantification," Eur. J. Environ. Civ. En., vol. 21, no. 9, pp.1128-1150, Sept. 2017. doi:10.1080/19648189.2016.1150899 | el |
Copyright © DIAS 2013
