Search Results - "Papaioannou, Iason"

Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion by Betz, Wolfgang, Papaioannou, Iason, Straub, Daniel

“…The computational efficiency of random field representations with the Karhunen–Loève (KL) expansion relies on the solution of a Fredholm integral eigenvalue…”
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Transitional Markov Chain Monte Carlo: Observations and Improvements by Betz, Wolfgang, Papaioannou, Iason, Straub, Daniel

“…AbstractThe Transitional Markov chain Monte Carlo (TMCMC) method is a widely used method for Bayesian updating and Bayesian model class selection. The method…”
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Reliability updating in geotechnical engineering including spatial variability of soil by Papaioannou, Iason, Straub, Daniel

“…At geotechnical sites, deformation measurements are routinely performed during the construction process. In this paper, it is shown how information from such…”
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Global reliability sensitivity estimation based on failure samples by Li, Luyi, Papaioannou, Iason, Straub, Daniel

“…•A new method for performing global reliability sensitivity analysis is proposed.•It requires as an input only samples that fall in the failure domain.•It can…”
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The effect of random field parameter uncertainty on the response variability of composite structures by Stefanou, George, Savvas, Dimitrios, Gavallas, Panagiotis, Papaioannou, Iason

“…The accurate quantification of the random spatial variation of material properties at different scales is crucial for the systematic propagation of…”
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Optimization of Site-Exploration Programs for Slope-Reliability Assessment by Jiang, Shui-Hua, Papaioannou, Iason, Straub, Daniel

“…AbstractSite investigation through boreholes, such as vane shear tests or cone penetration tests, provides an effective means to assess the performance of…”
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On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration by Kamariotis, Antonios, Sardi, Luca, Papaioannou, Iason, Chatzi, Eleni, Straub, Daniel

“…Abstract Data-informed predictive maintenance planning largely relies on stochastic deterioration models. Monitoring information can be utilized to update…”
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Bayesian Updating with Structural Reliability Methods by Straub, Daniel, Papaioannou, Iason

“…AbstractBayesian updating is a powerful method to learn and calibrate models with data and observations. Because of the difficulties involved in computing the…”
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Combination line sampling for structural reliability analysis by Papaioannou, Iason, Straub, Daniel

“…•We generalize the advanced line sampling (ALS) method and propose a combination line sampling (CLS) estimator.•CLS combines line sampling estimators…”
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Variance-based reliability sensitivity analysis and the FORM α-factors by Papaioannou, Iason, Straub, Daniel

“…In reliability assessments, it is useful to compute importance measures that provide information on the influence of the input random variables on the…”
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Covariance-based MCMC for high-dimensional Bayesian updating with Sequential Monte Carlo by Carrera, Barbara, Papaioannou, Iason

“…Sequential Monte Carlo (SMC) is a reliable method to generate samples from the posterior parameter distribution in a Bayesian updating context. The method…”
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Sequential importance sampling for structural reliability analysis by Papaioannou, Iason, Papadimitriou, Costas, Straub, Daniel

“…•We develop an adaptive simulation method for reliability analysis based on sequential importance sampling.•The method samples a sequence of distributions that…”
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Improved cross entropy-based importance sampling with a flexible mixture model by Papaioannou, Iason, Geyer, Sebastian, Straub, Daniel

“…•We propose an improved cross entropy (CE) method for reliability analysis.•The method employs a smooth transition to the optimal importance sampling…”
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Bayesian post-processing of Monte Carlo simulation in reliability analysis by Betz, Wolfgang, Papaioannou, Iason, Straub, Daniel

“…In reliability analysis with Monte Carlo simulation, the uncertainty about the probability of failure can be formally quantified through Bayesian statistics…”
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PLS-based adaptation for efficient PCE representation in high dimensions by Papaioannou, Iason, Ehre, Max, Straub, Daniel

“…•We develop a sparse PCE representation based on a coordinate transformation in Gaussian space.•The transformation is determined based on a tailored partial…”
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Cross entropy-based importance sampling using Gaussian densities revisited by Geyer, Sebastian, Papaioannou, Iason, Straub, Daniel

“…•We compare two distributions as sampling densities in the cross entropy method.•A modified expectation-maximization algorithm is proposed for fitting the…”
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Reliability sensitivity estimation with sequential importance sampling by Papaioannou, Iason, Breitung, Karl, Straub, Daniel

“…•We propose estimation of sensitivities (local derivatives) of the probability of failure with sequential importance sampling.•The method estimates a domain…”
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An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states by Chan, Jianpeng, Papaioannou, Iason, Straub, Daniel

“…Many system reliability problems involve performance functions with a discontinuous distribution. Such situations occur in both connectivity- and flow-based…”
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MCMC algorithms for Subset Simulation by Papaioannou, Iason, Betz, Wolfgang, Zwirglmaier, Kilian, Straub, Daniel

“…Subset Simulation is an adaptive simulation method that efficiently solves structural reliability problems with many random variables. The method requires…”
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Bayesian analysis of rare events by Straub, Daniel, Papaioannou, Iason, Betz, Wolfgang

“…In many areas of engineering and science there is an interest in predicting the probability of rare events, in particular in applications related to safety and…”
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