Add to ORKGInternational audienceModels encountered in chemical engineering usually involve a large number of degrees of freedom related to its multidimensional and multiphysical character. Model reduction is an appealing alternative for treating efficiently (fastly and accurately) such models. In this work we will illustrate some capabilities related to some reduction strategies to reduce the complexity of different models. We will analyze the applicability, limitations and enrichment of standard reduction techniques based on the use of the Karhunen-Loève decomposition (also known as proper orthogonal decomposition)
In recent years finite element models and multi-body systems in solid mechanics have been becoming m...
A solid introduction to mathematical modeling for a range of chemical engineering applications, cove...
International audienceThis paper revisits a new model reduction methodology based on the use of sepa...
During the last decades, models have become widely used for supporting a broad range of chemical eng...
Many tasks of simulation, optimization and control can be performed more efficiently if the intermed...
Simulation of detailed multicomponent reactive flow processes becomes quite expensive and, despite t...
In formulating mathematical models for dynamical systems, obtaining a high degree of qualitative cor...
Mathematical models are used for simulations and predictions of various phenomena and processes that...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
Chemical reaction engineering has for a very long time been a dangerous but useful part of human lif...
International audienceWe investigate in this article a method based on proper orthogonal decompositi...
The value of models in process industries becomes apparent in practice and literature where numerous...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
International audienceProcess optimization and control problems can be addressed through a broad var...
Model reduction is a new numerical technique [1, 2] that allows us to obtain an accurate low-dimensi...
In recent years finite element models and multi-body systems in solid mechanics have been becoming m...
A solid introduction to mathematical modeling for a range of chemical engineering applications, cove...
International audienceThis paper revisits a new model reduction methodology based on the use of sepa...
During the last decades, models have become widely used for supporting a broad range of chemical eng...
Many tasks of simulation, optimization and control can be performed more efficiently if the intermed...
Simulation of detailed multicomponent reactive flow processes becomes quite expensive and, despite t...
In formulating mathematical models for dynamical systems, obtaining a high degree of qualitative cor...
Mathematical models are used for simulations and predictions of various phenomena and processes that...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
Chemical reaction engineering has for a very long time been a dangerous but useful part of human lif...
International audienceWe investigate in this article a method based on proper orthogonal decompositi...
The value of models in process industries becomes apparent in practice and literature where numerous...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
International audienceProcess optimization and control problems can be addressed through a broad var...
Model reduction is a new numerical technique [1, 2] that allows us to obtain an accurate low-dimensi...
In recent years finite element models and multi-body systems in solid mechanics have been becoming m...
A solid introduction to mathematical modeling for a range of chemical engineering applications, cove...
International audienceThis paper revisits a new model reduction methodology based on the use of sepa...