TY - GEN
T1 - Reduced Order Modeling Research Challenge 2023
T2 - 42nd IMAC, A Conference and Exposition on Structural Dynamics, IMAC 2024
AU - Park, Kyusic
AU - Allen, Matthew S.
AU - de Bono, Max
AU - Colombo, Alessio
AU - Frangi, Attilio
AU - Gobat, Giorgio
AU - Haller, George
AU - Hill, Tom
AU - Jain, Shobhit
AU - Kramer, Boris
AU - Li, Mingwu
AU - Salles, Loic
AU - Najera-Flores, David A.
AU - Neild, Simon
AU - Renson, Ludovic
AU - Saccani, Alexander
AU - Sharma, Harsh
AU - Shen, Yichang
AU - Tiso, Paolo
AU - Todd, Michael D.
AU - Touzé, Cyril
AU - Van Damme, Christopher
AU - Vizzaccaro, Alessandra
AU - Xu, Zhenwei
AU - Elliot, Ryan
AU - Tadmor, Ellad
N1 - Publisher Copyright:
© The Society for Experimental Mechanics, Inc. 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - A variety of reduced order modeling (ROM) methods for geometrically nonlinear structures have been developed over recent decades, each of which takes a distinct approach, and may have different advantages and disadvantages for a given application. This research challenge is motivated by the need for a consistent, reliable, and ongoing process for ROM comparison. In this chapter, seven state-of-the-art ROM methods are evaluated and compared in terms of accuracy and efficiency in capturing the nonlinear characteristics of a benchmark structure: a curved, perforated plate that is part of the exhaust system of a large diesel engine. Preliminary results comparing the full-order and ROM simulations are discussed. The predictions obtained by the various methods are compared to provide an understanding of the performance differences between the ROM methods participating in the challenge. Where possible, comments are provided on insight gained into how geometric nonlinearity contributes to the nonlinear behavior of the benchmark system.
AB - A variety of reduced order modeling (ROM) methods for geometrically nonlinear structures have been developed over recent decades, each of which takes a distinct approach, and may have different advantages and disadvantages for a given application. This research challenge is motivated by the need for a consistent, reliable, and ongoing process for ROM comparison. In this chapter, seven state-of-the-art ROM methods are evaluated and compared in terms of accuracy and efficiency in capturing the nonlinear characteristics of a benchmark structure: a curved, perforated plate that is part of the exhaust system of a large diesel engine. Preliminary results comparing the full-order and ROM simulations are discussed. The predictions obtained by the various methods are compared to provide an understanding of the performance differences between the ROM methods participating in the challenge. Where possible, comments are provided on insight gained into how geometric nonlinearity contributes to the nonlinear behavior of the benchmark system.
KW - Geometric nonlinearity
KW - Nonlinear dynamics
KW - Reduced order modeling
UR - https://www.scopus.com/pages/publications/85207823021
U2 - 10.1007/978-3-031-69409-7_9
DO - 10.1007/978-3-031-69409-7_9
M3 - Conference contribution
AN - SCOPUS:85207823021
SN - 9783031694080
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 51
EP - 56
BT - Nonlinear Structures and Systems - Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024
A2 - Brake, Matthew R. W.
A2 - Renson, Ludovic
A2 - Kuether, Robert J.
A2 - Tiso, Paolo
PB - Springer
Y2 - 29 January 2024 through 1 February 2024
ER -