Advanced simulation methods for reliability analysis and updating of stochastic dynamic systems with applications to structural dynamics, seismic risk and loss assessment [thesis]

Bansal Sahil
Given the fact that often low probability events can lead to disastrous consequences, performance assessments of the civil engineering systems and critical infrastructure systems taking into account the impact of these events are very important. To assess the system performance subjected to dynamic excitations, a stochastic system analysis considering all the important uncertainties involved should be performed. This requires evaluating the dynamic response of the system subjected to any
more » ... inty that may arise due to, for example, the uncertainty in future excitations, environmental loadings, the imperfection or incomplete knowledge in the modeling of physical systems, or a combination of these, and evaluating damage or loss statistics and probability based on the response to obtain the system performance probabilities. In this thesis, the focus is on the development of new stochastic simulation algorithms for Bayesian model updating, robust reliability updating, extreme-event probability computation, conditional failure sample simulation, and their applications to the evaluation of reliability and risk/loss assessment of civil engineering structures. Model updating using measured system dynamic response has a wide range of applications in system response and control, health monitoring, or reliability and risk assessment. To quantify the uncertainties and plausibility of the model parameters and model inadequacy, a Bayesian approach is developed. A new Given the fact that these low probability events can have disastrous consequences, prior assessment of buildings, manufacturing units, dams, bridges, offshore platforms, nuclear power plants and critical infrastructure is important. Understanding where future damage/loss is likely to occur can help in reducing potential losses and assist recovery. In the case of any large impact event, for optimal decision makings on resilient structural, infrastructural systems and urban risk/loss mitigation strategies, it is essential to develop evaluation methods for risk/loss assessment of structures, which are both effective and efficient. Performance-based engineering aims to quantify the performance of a system based on quantifiable and probabilistic performance objectives. Performance objectives are statements of acceptable performance of the system, defined by the performance quantities of interest attached to certain specified thresholds. Quantities of interest
doi:10.32657/10356/62031 fatcat:u43lzfxkordphoe3bpccmgkttq