Smart parts: Data-driven model order reduction for nonlinear mechanical assemblies

Finite Elements in Analysis and Design ◽

10.1016/j.finel.2021.103682 ◽

2022 ◽

Vol 200 ◽

pp. 103682

Author(s):

Aarohi Shah ◽

Julian J. Rimoli

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order ◽

Mechanical Assemblies ◽

Nonlinear Mechanical

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A hybrid data-driven model order reduction strategy for flexible multibody systems considering impact and friction

Mechanism and Machine Theory ◽

10.1016/j.mechmachtheory.2021.104649 ◽

2022 ◽

Vol 169 ◽

pp. 104649

Author(s):

Ningning Song ◽

Haijun Peng ◽

Ziyun Kan

Keyword(s):

Multibody Systems ◽

Model Order Reduction ◽

Order Reduction ◽

Flexible Multibody Systems ◽

Data Driven ◽

Model Order ◽

Reduction Strategy ◽

Flexible Multibody ◽

Hybrid Data

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Nonlinear data-driven model order reduction applied to circuit-field magnetic problem

IEEE Transactions on Magnetics ◽

10.1109/tmag.2021.3108454 ◽

2021 ◽

pp. 1-1

Author(s):

Antoine Pierquin ◽

Thomas Henneron

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order

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Bridging proper orthogonal decomposition methods and augmented Newton–Krylov algorithms: An adaptive model order reduction for highly nonlinear mechanical problems

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2010.10.009 ◽

2011 ◽

Vol 200 (5-8) ◽

pp. 850-866 ◽

Cited By ~ 80

Author(s):

P. Kerfriden ◽

P. Gosselet ◽

S. Adhikari ◽

S.P.A. Bordas

Keyword(s):

Proper Orthogonal Decomposition ◽

Model Order Reduction ◽

Order Reduction ◽

Decomposition Methods ◽

Orthogonal Decomposition ◽

Adaptive Model ◽

Model Order ◽

Highly Nonlinear ◽

Nonlinear Mechanical ◽

Proper Orthogonal

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Data-driven model order reduction via Loewner approach for fast frequency sweep in hybrid BI-FEM solution in large finite frequency selective surfaces

2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO) ◽

10.1109/nemo.2017.7964262 ◽

2017 ◽

Author(s):

Valentin de la Rubia ◽

Zhen Peng

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Frequency Selective Surfaces ◽

Finite Frequency ◽

Model Order ◽

Frequency Sweep ◽

Frequency Selective

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Data-Driven Parameterized Model Order Reduction Using z-Domain Multivariate Orthonormal Vector Fitting Technique

Lecture Notes in Electrical Engineering - Model Reduction for Circuit Simulation ◽

10.1007/978-94-007-0089-5_7 ◽

2011 ◽

pp. 141-148 ◽

Cited By ~ 1

Author(s):

Francesco Ferranti ◽

Dirk Deschrijver ◽

Luc Knockaert ◽

Tom Dhaene

Keyword(s):

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order ◽

Vector Fitting ◽

Z Domain ◽

Parameterized Model ◽

Parameterized Model Order Reduction

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Model order reduction for temperature-dependent nonlinear mechanical systems: A multiple scales approach

Journal of Sound and Vibration ◽

10.1016/j.jsv.2019.115022 ◽

2020 ◽

Vol 465 ◽

pp. 115022 ◽

Cited By ~ 2

Author(s):

Shobhit Jain ◽

Paolo Tiso

Keyword(s):

Model Order Reduction ◽

Multiple Scales ◽

Mechanical Systems ◽

Order Reduction ◽

Temperature Dependent ◽

Model Order ◽

Nonlinear Mechanical ◽

Nonlinear Mechanical Systems

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Data-Driven Model Order Reduction for Diffeomorphic Image Registration

Lecture Notes in Computer Science - Information Processing in Medical Imaging ◽

10.1007/978-3-030-20351-1_54 ◽

2019 ◽

pp. 694-705 ◽

Cited By ~ 1

Author(s):

Jian Wang ◽

Wei Xing ◽

Robert M. Kirby ◽

Miaomiao Zhang

Keyword(s):

Image Registration ◽

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order ◽

Diffeomorphic Image Registration

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Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework

SIAM Journal on Scientific Computing ◽

10.1137/17m1120233 ◽

2018 ◽

Vol 40 (2) ◽

pp. B572-B610 ◽

Cited By ~ 5

Author(s):

I. V. Gosea ◽

M. Petreczky ◽

A. C. Antoulas

Keyword(s):

Switched Systems ◽

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order

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Development of an Efficient Nonlinear Structural Analysis Using Data-driven Model Order Reduction

Transactions of the Korean Society for Noise and Vibration Engineering ◽

10.5050/ksnve.2021.31.6.604 ◽

2021 ◽

Vol 31 (6) ◽

pp. 604-613

Author(s):

Hyejin Kim ◽

Haeseong Cho ◽

Sihun Lee ◽

SangJoon Shin ◽

Haedeong Kim

Keyword(s):

Structural Analysis ◽

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order ◽

Nonlinear Structural Analysis ◽

Nonlinear Structural ◽

Using Data

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A data‐driven model order reduction approach for Stokes flow through random porous media

PAMM ◽

10.1002/pamm.201800314 ◽

2018 ◽

Vol 18 (1) ◽

Author(s):

Constantin Grigo ◽

Phaedon‐Stelios Koutsourelakis

Keyword(s):

Porous Media ◽

Stokes Flow ◽

Model Order Reduction ◽

Order Reduction ◽

Data Driven ◽

Model Order ◽

Flow Through ◽

Random Porous Media ◽

Reduction Approach

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