Method for Reduced-Order Modeling with Mode Selection Criterion

A reduced-order modeling (partitioned reduced-order modeling [P-ROM]) method for structural systems is presented, which employs recently developed displacement-only partitioned (DP) equations of motion. It is shown that the DP equations directly yield the same eigenvalues as the assembled equations of finite element model, and the corresponding eigenvectors are a partitioned form of the assembled eigenvectors. A unique feature of the proposed P-ROM method is its a priori mode selection criterion that can be utilized with the desired target accuracy assigned by the modeler. Thus, the proposed P-ROM method bypasses the arduous task of substructural mode synthesis (viz., selecting modes for each substructure) and directly constructs the ROM equations. An attractive feature of the proposed P-ROM method is that it can handle nonmatching mesh problems with ease. The performance of the present P-ROM method is illustrated through several numerical ROM examples and the ensuing transient analysis.

Authors

Institutions

Publication Details

Journal
AIAA Journal
Published
2024-08-05
DOI
https://doi.org/10.2514/1.j064414
Citations
7
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method for Reduced-Order Modeling with Mode Selection Criterion

Jin‐Gyun Kim, K. C. Park, M. Faizan Baqir
7 citations
AIAA Journal
Hydraulic and Pneumatic Systems
1.49
article

Method for Reduced-Order Modeling with Mode Selection Criterion

Jin‐Gyun Kim, K. C. Park, M. Faizan Baqir
article en
7 citations

Abstract

A reduced-order modeling (partitioned reduced-order modeling [P-ROM]) method for structural systems is presented, which employs recently developed displacement-only partitioned (DP) equations of motion. It is shown that the DP equations directly yield the same eigenvalues as the assembled equations of finite element model, and the corresponding eigenvectors are a partitioned form of the assembled eigenvectors. A unique feature of the proposed P-ROM method is its a priori mode selection criterion that can be utilized with the desired target accuracy assigned by the modeler. Thus, the proposed P-ROM method bypasses the arduous task of substructural mode synthesis (viz., selecting modes for each substructure) and directly constructs the ROM equations. An attractive feature of the proposed P-ROM method is that it can handle nonmatching mesh problems with ease. The performance of the present P-ROM method is illustrated through several numerical ROM examples and the ensuing transient analysis.

AIAA JournalVol. 62(11)
University of Colorado Boulder (US), University of Colorado System (US), Kyung Hee University (KR)
Sustainable cities and communities
Openalex Percentile: Top 20%
Hydraulic and Pneumatic Systems
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Method for Reduced-Order Modeling with Mode Selection Criterion — Jin‐Gyun Kim, K. C. Park, et al. · AIAA Journal (2024) | TGRS Research Map | TGRS