33 citations · 49 across the 5 of their papers we have counts for
5 papers
Bayesian Updating of constitutive parameters under hybrid uncertainties with a novel surrogate model applied to biofilms
Lukas Fritsch, Hendrik Geisler, Jan Grashorn +5
Accurate modeling of bacterial biofilm growth is essential for understanding their complex dynamics in biomedical, environmental, and industrial settings. These dynamics are shaped…
Unified Framework for Hybrid Aleatory and Epistemic Uncertainty Propagation via Decoupled Multi-Probability Density Evolution Method
Yi Luo, Meng-Ze Lyu, Matteo Broggi +3
This paper presents a unified framework for uncertainty propagation in dynamical systems involving hybrid aleatory and epistemic uncertainties. The framework accommodates precise p…
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree
Chen Ding, Pengfei Wei, Yan Shi +3
Network reliability analysis remains a challenge due to the increasing size and complexity of networks. This paper presents a novel sampling method and an active learning method fo…
Transport Map Coupling Filter for State-Parameter Estimation
Jan Grashorn, Matteo Broggi, Ludovic Chamoin +1
Many dynamical systems are subjected to stochastic influences, such as random excitations, noise, and unmodeled behavior. Tracking the system's state and parameters based on a phys…
First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach
Chen Ding, Chao Dang, Marcos A. Valdebenito +3
First-passage probability estimation of high-dimensional nonlinear stochastic systems is a significant task to be solved in many science and engineering fields, but remains still a…