Search Results - "PAPAIOANNOU, IASON"

Efficient global sensitivity analysis method for dynamic models in high dimensions.

Authors: Li, Luyi Papaioannou, Iason Straub, Daniel

Source: International Journal for Numerical Methods in Engineering; Aug2024, Vol. 125 Issue 15, p1-26, 26p

Ermittlung der Betondruckfestigkeit in Bestandsbauten. (English)

Authors: Betz, Wolfgang Papaioannou, Iason Straub, Daniel

Source: Beton- Und Stahlbetonbau; Aug2025, Vol. 120 Issue 8, p623-627, 5p

Sparse Bayesian learning for complex‐valued rational approximations.

Authors: Schneider, Felix Papaioannou, Iason Müller, Gerhard

Source: International Journal for Numerical Methods in Engineering; 4/30/2023, Vol. 124 Issue 8, p1721-1747, 27p

Bayesian inference with subset simulation in varying dimensions applied to the Karhunen–Loève expansion.

Authors: Uribe, Felipe Papaioannou, Iason Latz, Jonas et al.

Source: International Journal for Numerical Methods in Engineering; 9/30/2021, Vol. 122 Issue 18, p5100-5127, 28p

CONSENSUS-BASED RARE EVENT ESTIMATION.

Authors: ALTHAUS, KONSTANTIN PAPAIOANNOU, IASON ULLMANN, ELISABETH

Source: SIAM Journal on Scientific Computing. 2024, Vol. 46 Issue 3, pA1487-A1513. 27p.

Subjects: Inverse problems, Euler method, Kalman filtering

State Space Kriging model for emulating nonlinear stochastic dynamical systems with parameter uncertainty.

Authors: Cheng, Kai Papaioannou, Iason Lyu, MengZe et al.

Source: Mechanical Systems & Signal Processing. Jan2026, Vol. 243, pN.PAG-N.PAG. 1p.

Subjects: Stochastic systems, Dynamical systems, Parameter estimation, Approximation theory, Sensitivity analysis, Numerical analysis

Likelihood-informed model reduction for Bayesian inference of static structural loads.

Authors: Scheffels, Jakob Qian, Elizabeth Papaioannou, Iason et al.

Source: Structural & Multidisciplinary Optimization. Jun2026, Vol. 69 Issue 6, p1-16. 16p.

Coupling the cross-entropy with the line sampling method for risk-based design optimization.

Authors: Depina, Ivan Papaioannou, Iason Straub, Daniel et al.

Source: Structural & Multidisciplinary Optimization. May2017, Vol. 55 Issue 5, p1589-1612. 24p.

On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration.

Authors: Kamariotis, Antonios Sardi, Luca Papaioannou, Iason et al.

Source: Data-Centric Engineering; 2023, Vol. 4, p1-27, 27p

Series System Reliability of Uncertain Linear Structures under Gaussian Excitation by Cross Entropy–Based Importance Sampling.

Authors: Kanjilal, Oindrila Papaioannou, Iason Straub, Daniel

Source: Journal of Engineering Mechanics. Jan2022, Vol. 148 Issue 1, p1-13. 13p.

Subjects: Reliability in engineering, System failures, Uncertain systems, Structural failures, Gaussian processes, Conditional probability

SEQUENTIAL ACTIVE LEARNING OF LOW-DIMENSIONAL MODEL REPRESENTATIONS FOR RELIABILITY ANALYSIS.

Authors: EHRE, MAX PAPAIOANNOU, IASON SUDRET, BRUNO et al.

Source: SIAM Journal on Scientific Computing. 2022, Vol. 44 Issue 3, pB558-B584. 27p.

Subjects: Sequential learning, Active learning, Polynomial chaos, Sequential analysis, Engineering models, Nonlinear functions, Reliability in engineering

FORM-based global reliability sensitivity analysis of systems with multiple failure modes.

Authors: Papaioannou, Iason Straub, Daniel

Source: Reliability Engineering & System Safety. Aug2025, Vol. 260, pN.PAG-N.PAG. 1p.

Subjects: System failures, Failure mode & effects analysis, Sensitivity analysis, Integrals

State Space Kriging model for emulating complex nonlinear dynamical systems under stochastic excitation.

Authors: Cheng, Kai Papaioannou, Iason Lyu, MengZe et al.

Source: Computer Methods in Applied Mechanics & Engineering. Jul2025, Vol. 442, pN.PAG-N.PAG. 1p.

Subjects: Nonlinear dynamical systems, Stochastic systems, System dynamics, Dynamical systems, Nonlinear systems, Kriging

ERROR ANALYSIS FOR PROBABILITIES OF RARE EVENTS WITH APPROXIMATE MODELS.

Authors: WAGNER, FABIAN LATZ, JONAS PAPAIOANNOU, IASON et al.

Source: SIAM Journal on Numerical Analysis; 2021, Vol. 59 Issue 4, p1948-1975, 28p

Multivariate Gaussian Process Regression for 3D site characterization from CPT and categorical borehole data.

Authors: Zinas, Orestis Papaioannou, Iason Schneider, Ronald et al.

Source: Engineering Geology. Jun2025, Vol. 352, pN.PAG-N.PAG. 1p.

Subjects: Cone penetration tests, Kriging, Statistical learning, Gaussian processes, Geological modeling

Enhanced sequential directional importance sampling for structural reliability analysis.

Authors: Cheng, Kai Papaioannou, Iason Straub, Daniel

Source: Structural Safety. May2025, Vol. 114, pN.PAG-N.PAG. 1p.

Subjects: Markov chain Monte Carlo, Monte Carlo method, Structural reliability, Product failure, Probability theory

Reliability assessment of large hydraulic structures with spatially distributed measurements.

Authors: Geyer, Sebastian Papaioannou, Iason Kunz, Claus et al.

Source: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance. Apr2020, Vol. 16 Issue 4, p599-612. 14p.

Subjects: Materials testing, Random fields, Bayesian analysis, Hydraulic structures, Structural reliability, Reliability in engineering, Hydraulic control systems

Efficient Bayesian inversion for simultaneous estimation of geometry and spatial field using the Karhunen-Loève expansion.

Authors: Shibata, Tatsuya Koch, Michael C. Papaioannou, Iason et al.

Source: Computer Methods in Applied Mechanics & Engineering; Jun2025, Vol. 441, pN.PAG-N.PAG, 1p

PLS-based adaptation for efficient PCE representation in high dimensions.

Authors: Papaioannou, Iason Ehre, Max Straub, Daniel

Source: Journal of Computational Physics. Jun2019, Vol. 387, p186-204. 19p.

Subjects: Coordinate transformations, Polynomial chaos, High-dimensional model representation, Random variables, Dimensions, Least squares

Multilevel Sequential2 Monte Carlo for Bayesian inverse problems.

Authors: Latz, Jonas Papaioannou, Iason Ullmann, Elisabeth

Source: Journal of Computational Physics. Sep2018, Vol. 368, p154-178. 25p.

Subjects: Bayesian analysis, Monte Carlo method, Inverse problems, Discretization methods, Mathematical models