Tubaldi, E;
Freddi, F;
Barbato, M;
(2014)
Probabilistic seismic demand analysis for pounding risk assessment.
In: Deodatis, G and Ellingwood, BR and Frangopol, DM, (eds.)
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013.
(pp. pp. 1641-1648).
CRC Press
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Abstract
This study aims to develop a Probabilistic Seismic Demand Model (PSDM) for pounding risk assessment suitable for use within modern performance-based design frameworks. In developing a PSDM, different choices can be made regarding the intensity measures (IMs) to be used, the record selection, the analysis technique applied for estimating the system response for different IM levels, and the model to be employed for describing the response statistics given the IM. In the present paper, some of these choices are analyzed and discussed by considering the case of two adjacent buildings modeled as single-degree-of- freedom systems with linear and nonlinear hysteretic behavior. Based on the comparison, an optimal demand model is sought as the one that permits to achieve confident estimates of the response parameter of interest, i.e., the relative displacement demand, with few time-history analyses. This property allows reducing the complexity and computational cost associated with the pounding risk assessment.
| Type: | Proceedings paper |
|---|---|
| Title: | Probabilistic seismic demand analysis for pounding risk assessment |
| Event: | ICOSSAR 2013, 11th International Conference on Structural Safety and Reliability, 16-20 June 2013, New York, USA |
| ISBN-13: | 9781315884882 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.taylorfrancis.com/books/9781315884882 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1574760 |
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