10 citations · 12 across the 4 of their papers we have counts for
4 papers
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
Nan Feng, Xun Huan
Bayesian predictive inference propagates parameter uncertainty to quantities of interest through the posterior-predictive distribution. In practice, this is typically performed usi…
Finite Strain Robust Topology Optimization Considering Multiple Uncertainties
Nan Feng, Guodong Zhang, Kapil Khandelwal
This paper presents a computational framework for the robust stiffness design of hyperelastic structures at finite deformations subject to various uncertain sources. In particular,…
On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics
Nan Feng, Guodong Zhang, Kapil Khandelwal
The use of deep neural network (DNN) models as surrogates for linear and nonlinear structural dynamical systems is explored. The goal is to develop DNN based surrogates to predict…
Computational frameworks for homogenization and multiscale stability analyses of nonlinear periodic metamaterials
Guodong Zhang, Nan Feng, Kapil Khandelwal
This paper presents a consistent computational framework for multiscale 1st order finite strain homogenization and stability analyses of rate-independent solids with periodic micro…