4 papers
Bayesian Tendon Breakage Localization under Model Uncertainty Using Distributed Fiber Optic Sensors
Daniel Andrés Arcones, Aeneas Paul, Martin Weiser +3
This study develops a Bayesian, uncertainty-aware framework for tendon breakage localization in pre-stressed concrete members using high-resolution data from distributed fiber-opti…
Gaussian mixture models for model improvement
Paolo Villani, Daniel Andrés Arcones, Jörg F. Unger +1
Modeling complex physical systems such as they arise in civil engineering applications requires finding a trade-off between physical fidelity and practicality. Consequently, deviat…
Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration
Daniel Andrés Arcones, Martin Weiser, Phaedon-Stelios Koutsourelakis +1
A key factor in ensuring the accuracy of computer simulations that model physical systems is the proper calibration of their parameters based on real-world observations or experime…
Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification
Paolo Villani, Daniel Andrés-Arcones, Jörg F. Unger +1
Posterior sampling by Monte Carlo methods provides a more comprehensive solution approach to inverse problems than computing point estimates such as the maximum posterior using opt…