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Parametric reduced-order modeling for component-oriented treatment and localized nonlinear feature inclusion
We propose coupling a physics-based reduction framework with a suited response
decomposition technique to derive a component-oriented reduction (COR) approach, which …
decomposition technique to derive a component-oriented reduction (COR) approach, which …
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored …
The dimension of models derived on the basis of data is commonly restricted by the number
of observations, or in the context of monitored systems, sensing nodes. This is particularly …
of observations, or in the context of monitored systems, sensing nodes. This is particularly …
VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems
Abstract Reduced Order Models (ROMs) are of considerable importance in many areas of
engineering in which computational time presents difficulties. Established approaches …
engineering in which computational time presents difficulties. Established approaches …
[PDF][PDF] Harnessing Hybrid Digital Twinning for Decision-Support in Smart Infrastructures
Digital Twinning (DT) has become a main instrument for Industry 4.0 and the digital
transformation of manufacturing and industrial processes. In this statement paper, we …
transformation of manufacturing and industrial processes. In this statement paper, we …
Virtualization of parametric dynamical systems through uncertainty-aware reduced order modeling
K Vlachas - 2024 - research-collection.ethz.ch
In the modern era of digital transformation recent advancements have given rise to the
concept of twinning, that is, the development of digital representations of physical assets and …
concept of twinning, that is, the development of digital representations of physical assets and …
A physics-based reduced order model with machine learning-boosted hyper-reduction
Abstract Physics-Based Reduced Order Models (ROMs) tend to rely on projection-based
reduction. This family of approaches utilizes a series of responses of the full-order model to …
reduction. This family of approaches utilizes a series of responses of the full-order model to …