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Probabilistic seismic demand model for pounding risk assessment

Tubaldi, E; Freddi, F; Barbato, M; (2016) Probabilistic seismic demand model for pounding risk assessment. Earthquake Engineering & Structural Dynamics , 45 (11) pp. 1743-1758. 10.1002/eqe.2725. Green open access

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Abstract

Earthquake-induced pounding of adjacent structures can cause severe structural damage, and advanced probabilistic approaches are needed to obtain a reliable estimate of the risk of impact. This study aims to develop an efficient and accurate probabilistic seismic demand model (PSDM) for pounding risk assessment between adjacent buildings, which is suitable for use within modern performance-based engineering 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 at increasing 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 evaluated first by performing an extensive parametric study for the adjacent buildings modeled as linear single-degree-of-freedom systems, and successively by considering more complex nonlinear multi-degree-of-freedom building models. An efficient and accurate PSDM is defined using advanced intensity measures and a bilinear regression model for the response samples obtained by cloud analysis. The results of the study demonstrate that the proposed PSDM allows accurate estimates of the risk of pounding to be obtained while limiting the number of simulations required.

Type: Article
Title: Probabilistic seismic demand model for pounding risk assessment
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/eqe.2725
Publisher version: http://dx.doi.org/10.1002/eqe.2725
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.
Keywords: Science & Technology, Technology, Engineering, Civil, Engineering, Geological, Engineering, pounding, performance-based design, probabilistic seismic demand model, intensity measure, INTENSITY MEASURES, ADJACENT BUILDINGS, STRUCTURAL IMPACT, NONLINEAR-SYSTEMS, EARTHQUAKE, EVENTS, SCALAR
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/1574761
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