3 papers
cs.CE2026
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…
cs.CE2026
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…
math.NA2024
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…