| Issue |
MATEC Web Conf.
Volume 143, 2018
IV International Young Researchers Conference “Youth, Science, Solutions: Ideas and Prospects” (YSSIP-2017)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 8 | |
| Section | Civil Engineering and Structures | |
| DOI | https://doi.org/10.1051/matecconf/201814301001 | |
| Published online | 08 January 2018 | |
Assessment of structural reliability of precast concrete buildings
1
Siberian Federal University, 660041 Krasnoyarsk, Russia
2
Novosibirsk State University of Architecture and Civil Engineering, 630008 Novosibirsk, Russia
* Corresponding author: koyankinaa@mail.ru
Precast housing construction is currently being under rapid development, however, reliability of building structures made from precast reinforced concrete cannot be assessed rationally due to insufficient research data on that subject. In this regard, experimental and numerical studies were conducted to assess structural reliability of precast buildings as described in the given paper. Experimental studies of full-scale and model samples were conducted; numerical studies were held based on finite element models using “Lira” software. The objects under study included fragment of flooring of a building under construction, full-size fragment of flooring, full-scale models of precast cross-beams-to-columns joints and joints between hollow-core floor slabs and precast and cast-in-place cross-beams. Conducted research enabled to perform an objective assessment of structural reliability of precast buildings.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.