4 papers
Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of stochastic dynamical systems
Zhouzhou Song, Marcos A. Valdebenito, Styfen Schär +3
Constructing accurate and computationally efficient surrogate models (or emulators) for predicting dynamical system responses is critical in many engineering domains, yet remains c…
On the impact of geometric variance on the performance of formed parts: A probabilistic approach on the example of airbag pressure bins
Lukas Schnelle, Niklas Fehlemann, Ali O. M. Kilicsoy +6
Scatter in properties resulting from manufacturing is a great challenge in lightweight design, requiring consideration of not only the average mechanical performance but also the v…
Bayesian model updating via streamlined Bayesian active learning cubature
Pei-Pei Li, Chao Dang, Cristóbal H. Acevedo +2
This paper proposes a novel Bayesian active learning method for Bayesian model updating, which is termed as "Streamlined Bayesian Active Learning Cubature" (SBALC). The core idea i…
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space
Zhouzhou Song, Weiyun Xu, Marcos A. Valdebenito +1
Surrogate models are extensively employed for forward and inverse uncertainty quantification in complex, computation-intensive engineering problems. Nonetheless, constructing high-…