Reduced Order Modeling of an Industrial Feeder Model
Models of glaes furnaces are described by a set of nonlinear partial differential equâtioris which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scalais which describe the dependent variables like viscosities and densities in a fluid.
Astrid, P., Weiland, S., Twerda, A.
openaire +3 more sources
Deep-Learning-Based Reduced-Order Model for Power Generation Capacity of Flapping Foils. [PDF]
Saeed A +4 more
europepmc +1 more source
Model Reduction for Controllable Systems
In the papers [1], [7] a new scheme for passivity-preserving model reduction has been proposed. We have shown in [2] that the approach can also be interpreted from a dissipativity theory point of view, and we put forward two procedures in order to ...
Ha, B.M. +2 more
core
Construction of a reduced-order model based on tensor decomposition and its application to airbag deployment simulations. [PDF]
Sasagawa T, Tanaka M.
europepmc +1 more source
Multi-fidelity reduced-order surrogate modelling
High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated. Multi-fidelity surrogate modelling aims to leverage less accurate, lower-fidelity models that are computationally ...
Paolo Conti +5 more
openaire +5 more sources
Reduced-Order Model Based on Neural Network of Roll Bending
Effective real-time control systems require fast and accurate models. The roll bending models presented in this paper are proposed for a real-time control system for the design of the rolling schedule.
Dmytro Svyetlichnyy
doaj +1 more source
Real time reduced order model for angiography fractional flow reserve. [PDF]
Hashemi J +3 more
europepmc +1 more source
Generative design of graded metamaterial arrays for dynamic response modulation
Mechanical metamaterials (MMs) are micro-structured systems that have long attracted research as well as application interests due to their exotic dynamic functionalities and properties not seen in ordinary materials.
Weidi Wang +2 more
doaj +1 more source
Data-driven reduced order model and simplicial homology global optimization for reliability analysis and application. [PDF]
Zhao H, Wang M, Chang X.
europepmc +1 more source
Semi-mechanistic reduced order model of pharmaceutical tablet dissolution for enabling Industry 4.0 manufacturing systems. [PDF]
Ferdoush S, Gonzalez M.
europepmc +1 more source

