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A local basis approximation approach for nonlinear parametric model order reduction
The efficient condition assessment of engineered systems requires the coupling of high
fidelity models with data extracted from the state of the system 'as-is'. In enabling this task …
fidelity models with data extracted from the state of the system 'as-is'. In enabling this task …
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 …
Gaussian Process–Based Optimal Design of a Negative Stiffness Device under Stochastic Seismic Excitation
The protection of buildings under seismic events necessitates the development of efficient
vibration mitigation devices. The recently proposed negative stiffness vibration (NegSV) …
vibration mitigation devices. The recently proposed negative stiffness vibration (NegSV) …
Parametric model order reduction for localized nonlinear feature inclusion
Injecting parametric dependency and treating nonlinear phenomena pose the main
challenges when seeking to construct an accurate Reduced-Order Model (ROM) of an …
challenges when seeking to construct an accurate Reduced-Order Model (ROM) of an …
Vibroacoustics of periodic structures: model order reduction, characterization, optimization
R Boukadia - 2021 - theses.hal.science
Noise pollution has been identified as a physiological stressor that impacts both the
physiological and psychological health of those exposed to it. This recognition has …
physiological and psychological health of those exposed to it. This recognition has …
On the coupling of reduced order modeling with substructuring of structural systems with component nonlinearities
The emergence of digital virtualization has brought Reduced Order Models (ROM) into the
spotlight. A successful reduced order representation should allow for modeling of complex …
spotlight. A successful reduced order representation should allow for modeling of complex …
Two-story frame with Bouc-Wen hysteretic links as a multi-degree of freedom nonlinear response simulator
A diverse variety of engineering and dynamic systems, ranging from control applications and
solid mechanics to biology and economics, feature hysteretic phenomena. This commonly …
solid mechanics to biology and economics, feature hysteretic phenomena. This commonly …
Rapid stochastic response estimation of dynamic nonlinear structures: Innovative frameworks and applications
B Li - 2022 - deepblue.lib.umich.edu
Response estimation of structural systems characterized by large numbers of degrees of
freedom (DOF) is universally needed in practical engineering for performance evaluation …
freedom (DOF) is universally needed in practical engineering for performance evaluation …
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 …
On the Coupling of Reduced Order Modeling with Substructuring of Structural Systems with Component
The emergence of digital virtualization has brought Reduced Order Models (ROM) into the
spotlight. A successful reduced order representation should allow for modeling of complex …
spotlight. A successful reduced order representation should allow for modeling of complex …