Simulation-Based Structural Vulnerability Assessment and Risk Quantification in Earthquake Engineering
The Performance-Based Earthquake Engineering (PBEE) framework can be viewed as an integrated platform to assess the seismic vulnerability of civil infrastructure and to quantify the seismic risk during the life-cycle of structured facilities in a probabilistic context. At the core of PBEE lies the considerably complex problem of characterizing the nonlinear system response to future seismic excitations that involves numerous sources of epistemic and aleatoric uncertainty for both excitation and system. To this end, recent developments in the areas of stochastic modelling, simulation techniques, and signal processing of non-stationary signals, supported and enhanced by constant advances in computer and computational science (especially the increasing availability of parallel and distributed computing), offer tools to shed new light in the realistic characterization of the seismic response of structures accounting in detail for the various sources of uncertainty and variability. Put it in a wider context, such tools can facilitate important practical applications of the PBEE framework including probabilistic seismic hazard analysis and earthquake loss estimation accounting for infrastructure repair and replacement costs, downtime and casualties.
This session aims to foster synergies between the more traditional approaches in PBEE and the more recent trends on simulation-based techniques addressing all aspects of seismic risk analysis such as modelling of the input seismic action, Monte Carlo methods for uncertainty propagation, stochastic finite element analyses, etc. Contributions from the Earthquake Engineering community identifying practical needs and unexplored niches in PBEE addressed by simulation-based techniques and papers from the Computational Stochastic Dynamics and Simulation community employing recent tools to expedite the state of practice in PBEE are welcome. Furthermore, opinion papers targeting the issue of bridging the gap between traditional Earthquake Engineering approaches and stochastic/simulation-based techniques to address the timely and challenging problem of seismic risk quantification are invited.
- Agathoklis Giaralis
- Department of Civil Engineering, School of Engineering and Mathematical Sciences,
City University London, UK.
- Alexandros Taflanidis
- Department of Civil and Environmental Engineering and Earth Sciences,
University of Notre Dame, IN, USA.
- Dimitrios Vamvatsikos
- Department of Civil Engineering,
National Technical University of Athens, Greece.