New metrics for validation of data-driven random process models in uncertainty quantification
Data-driven random process models have become increasingly important for uncertainty
quantification (UQ) in science and engineering applications, due to their merit of capturing …
quantification (UQ) in science and engineering applications, due to their merit of capturing …
Variability analysis of vibrational responses in a passenger car considering the uncertainties of elastomers
JH Kwon, D Lee - … of the Institution of Mechanical Engineers …, 2016 - journals.sagepub.com
Passenger cars have many elastomeric joints that are used to reduce the vibration
transmission from the source to the cabin structure. In the design stage, the dynamic …
transmission from the source to the cabin structure. In the design stage, the dynamic …
A bayesian model calibration under insufficient data environment
In recent years, remarkable advances in computing performance and computer-aided
engineering have enabled reliability-based design optimization (RBDO) to guarantee the …
engineering have enabled reliability-based design optimization (RBDO) to guarantee the …
Stochastic Analysis and Design of Heterogeneous Microstructural Materials System
H Xu - 2014 - search.proquest.com
Advanced materials system refers to new materials that are comprised of multiple traditional
constituents but complex microstructure morphologies, which lead to superior properties …
constituents but complex microstructure morphologies, which lead to superior properties …