This paper introduces a procedure to assess the predictive accuracy of stochastic models
subject to model error and sparse data. Model error is introduced as uncertainty on the …

We introduce a novel framework called REIN: Reliability Estimation by learning an
Importance sampling (IS) distribution with Normalizing flows (NFs). The NFs learn probability …

Various uncertainties like random input and data noise in aerospace engineering affect flight
vehicle safety, making uncertainty quantification important for improving system reliability …

Such complex causative factors in current failure probability models are represented by
simply random uncertainty and completely independent or correlation of failure modes …

We present a novel stochastic optimal control framework that accounts for various types of
uncertainties, with application to reentry trajectory planning. The formulation of the optimal …

The development of timber structures worldwide is rapid and promising. Acoustic insulation
is an important metric to measure the quality of occupants' living conditions. Therefore, to …

High-fidelity simulations are increasingly called-upon to resolve the nucleation of
instabilities such as crack initiation and propagation and fluid mixing. While multiscale …

Laminated veneer lumber (LVL) is a structural composite lumber that has the advantages of
uniform structure, high strength, and flexible size compared with natural solid wood. It is …

This paper presents the dynamic characteristics of the glued-laminated-timber (glulam) floor
within China's tallest timber office building and establishes a Finite Element (FE) model. The …

In order to optimize the wood internal quality detection and evaluation system and improve
the comprehensive utilization rate of wood, this paper invented a set of log internal defect …