The combination of active learning with surrogate model (eg, Gaussian Process Regression,
GPR) for structural reliability analysis has been extensively studied and proved to be of …

Jointing techniques like the Self-Piercing Riveting (SPR), Resistance Spot Welding (RSW)
and Rivet-Weld (RW) joints are used for mass production of dissimilar material joints due to …

This study presents the Sparse Moment Quadrature (SMQ) method, a new uncertainty
quantification technique for high-dimensional complex computational models. These models …

Constructing a high-fidelity predictive model is crucial for analyzing complex systems,
optimizing system design, and enhancing system reliability. Although Gaussian Process …

Magnetic field sensor devices have been widely used to track changes in magnetic flux
concentration, and the Hall sensors are promising in many engineering applications. Design …

Traditional methods for uncertainty quantification (UQ) struggle with the curse of
dimensionality when dealing with high-dimensional problems. One approach to address this …

Multi-satellite imaging mission planning (MSIMP) is an important focus in the field of satellite
application. MSIMP involves a variety of coupled constraints and optimization objectives …

The layout of battery cells in liquid-based battery thermal management systems determines
the temperature distribution within a battery pack, which, in turn, affects the safety, reliability …

This study proposes a multi-fidelity efficient global optimization framework for the structural
optimization of self-excited oscillation cavity. To construct a high-precision multi-fidelity …

The assessment of system performance and identification of failure mechanisms in complex
engineering systems often requires the use of computation-intensive finite element software …