A nonintrusive distributed reduced‐order modeling framework for nonlinear structural mechanics—Application to elastoviscoplastic computations

F Casenave, N Akkari, F Bordeu, C Rey… - … journal for numerical …, 2020 - Wiley Online Library
In this work, we propose a framework that constructs reduced‐order models for nonlinear
structural mechanics in a nonintrusive fashion and can handle large‐scale simulations …

Augmented reduced order models for turbulence

K Kaneko, P Fischer - Frontiers in Physics, 2022 - frontiersin.org
The authors introduce an augmented-basis method (ABM) to stabilize reduced-order models
(ROMs) of turbulent incompressible flows. The method begins with standard basis functions …

An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems

N Akkari, F Casenave, D Ryckelynck, C Rey - Advanced Modeling and …, 2022 - Springer
In this work, we propose a new method to fill the gap within an incomplete turbulent and
incompressible data field in such a way to satisfy the topological and intensity changes of …

A nonintrusive reduced order model for nonlinear transient thermal problems with nonparametrized variability

F Casenave, A Gariah, C Rey, F Feyel - Advanced Modeling and …, 2020 - Springer
In this work, we consider a transient thermal problem, with a nonlinear term coming from the
radiation boundary condition and a nonparametrized variability in the form complex …

Parametric model order reduction development for Navier-Stokes equations from 2D chaotic to 3D turbulent flow problems

PH Tsai - 2023 - ideals.illinois.edu
This work presents new developments for the application of parametric model-order
reduction (pMOR) for engineering thermal-fluid applications. The pMOR technique is built on …

An augmented basis method for reduced order models of turbulent flow

K Kaneko - 2022 - ideals.illinois.edu
Reduced-order models (ROMs) offer a promising approach for parametric analysis of
engineering fluid dynamics applications. The standard procedure consists of using solution …

Reduced order modelling for a rotor-stator cavity using proper orthogonal decomposition

M Onori, NJ Hills - Computers & Fluids, 2021 - Elsevier
The paper describes the Reduced Order Modelling (ROM) for the turbulent flow in a rotor-
stator cavity, a configurations commonly encountered in secondary air system of aircraft …

Learning Projection-Based Reduced-Order Models

D Ryckelynck, F Casenave, N Akkari - Manifold Learning: Model …, 2024 - Springer
In this chapter, we introduce the solution space for high-fidelity models based on partial
differential equations and the finite element model. The manifold learning approach to …

Modified parareal method for solving the two-dimensional nonlinear shallow water equations using finite volumes

JG Caldas Steinstraesser, V Guinot… - The SMAI journal of …, 2021 - numdam.org
In this work, the POD-DEIM-based parareal method introduced in [8] is implemented for
solving the two-dimensional nonlinear shallow water equations using a finite volume …

Fast Calculation of Icing Cloud Parameters Based on POD_Kriging Surrogate Model.

LI Tingyu, REN Jinghao, W Qiang… - Transactions of Nanjing …, 2023 - search.ebscohost.com
The distribution of ice cloud parameters is of great significance to the analysis of aircraft
icing. In order to obtain these parameters, traditional high-fidelity numerical simulation …