Tensor train-Karhunen-Loève expansion: New theoretical and algorithmic frameworks for representing general non-Gaussian random fields

LZ Bu, W Zhao, W Wang - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
The goals of this work are two-fold: firstly, to propose a new theoretical framework for
representing random fields on a large class of multidimensional physical domain in the …

[CARTE][B] Enhancements of online Bayesian filtering algorithms for efficient monitoring and improved uncertainty quantification in complex nonlinear dynamical …

A Olivier - 2017 - search.proquest.com
Recent years have seen a concurrent development of new sensor technologies and high-
fidelity modeling capabilities. At the junction of these two topics lies an interesting …

Tensor train-Karhunen-Lo\eve expansion for continuous-indexed random fields using higher-order cumulant functions

LZ Bu, W Zhao, W Wang - arxiv preprint arxiv:1907.06304, 2019 - arxiv.org
The goals of this work are two-fold: firstly, to propose a new theoretical framework for
representing random fields on a large class of multidimensional geometrical domain in the …

[PDF][PDF] A PRELIMINARY INVESTIGATION OF METHODS FOR ESTIMATING THE PROBABILITY OF FAILURE FOR ROCKING BODIES.

MG Espinosa, MN Chatzis - wcee.nicee.org
For reasons related to functionality, mobility, or as recently has been suggested to improve
dynamic performance, several structural and non-structural elements are let to experience …

A preliminary investigation of methods for generating fragility curves for rocking bodies

M Espinosa, M Chatzis - 16WCEE World Conference Earthquake …, 2017 - ora.ox.ac.uk
For reasons related to functionality, mobility, or as recently has been suggested to improve
dynamic performance, several structural and non-structural elements are let to experience …