Probabilistic seismic demand analysis for pounding risk assessment

E. Tubaldi, F. Freddi, M. Barbato

Research output: Contribution to conferencePaper

5 Citations (Scopus)

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.
Original languageEnglish
Pages1641-1648
Number of pages8
Publication statusPublished - 20 Jun 2013
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: 16 Jun 201320 Jun 2013

Conference

Conference11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Country/TerritoryUnited States
CityNew York, NY
Period16/06/1320/06/13

Keywords

  • analysis techniques
  • computational costs
  • performance based design
  • probabilistic seismic demand models
  • relative displacement
  • response parameters
  • seismic demand analysis
  • time history analysis
  • safety engineering
  • structural analysis
  • reliability
  • risk assessment

Fingerprint

Dive into the research topics of 'Probabilistic seismic demand analysis for pounding risk assessment'. Together they form a unique fingerprint.

Cite this