DOI: 10.5593/SGEM2016/B13/S05.065


C.S.Dragomir, D.Dobre, E.S.Georgescu
Tuesday 6 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-57-5 / ISSN 1314-2704, June 28 - July 6, 2016, Book1 Vol. 3, 513-520 pp

Seismic performance level of an individual building subjected at a certain time to a ground shaking can be obtained either through an analytically method (pushover, time-history analysis) or an experimentally method of investigation (for example, a small-scale model of building on a shake-table/vibrant platform; a model subjected to forced vibrations/ambient noise etc.). Both methods are based finally on results calibration, validation and interpretation. In this context, another possibility to get the seismic performance level is given by the in-situ seismic structural instrumentation/monitoring of building. Based on records of buildings response to moderate earthquakes, or permanent micro seismic agitation of soil, ambient vibration, shocks, air blast or explosion etc., data processing contributes to the understanding of the structural response. More of this, information related to the dynamic characteristics of a building and its behavior to an earthquake can be transmitted in real time to a server. The current trend in estimation of seismic risk of buildings is to create a wireless sensor network capable of providing the necessary information for analysis and evaluation of post-seismic vulnerability of buildings. In addition to monitoring and display the collected data in real-time, also the opportunity for alert through alarms, email or SMS, of a certain category of users about potential risks to buildings could be aimed. This paper presents also a case study with a new building of Biology Faculty from Bucharest, for which the dynamic characteristics through some simplified approaches and in-situ seismic instrumentation/monitoring are obtained.

Keywords: seismic performance, investigation methods, processing data