Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate

Kyusic Park; Matthew S. Allen; Max de Bono; Alessio Colombo; Attilio Frangi; Giorgio Gobat; George Haller; Tom Hill; Shobhit Jain; Boris Kramer; Mingwu Li; Loic Salles; David A. Najera-Flores; Simon Neild; Ludovic Renson; Alexander Saccani; Harsh Sharma; Yichang Shen; Paolo Tiso; Michael D. Todd; Cyril Touzé; Christopher Van Damme; Alessandra Vizzaccaro; Zhenwei Xu; Ryan Elliot; Ellad Tadmor

doi:10.1007/978-3-031-69409-7_9

Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate

Kyusic Park^*, Matthew S. Allen, Max de Bono, Alessio Colombo, Attilio Frangi, Giorgio Gobat, George Haller, Tom Hill, Shobhit Jain, Boris Kramer, Mingwu Li, Loic Salles, David A. Najera-Flores, Simon Neild, Ludovic Renson, Alexander Saccani, Harsh Sharma, Yichang Shen, Paolo Tiso, Michael D. ToddCyril Touzé, Christopher Van Damme, Alessandra Vizzaccaro, Zhenwei Xu, Ryan Elliot, Ellad Tadmor

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

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.

Original language	English
Title of host publication	Nonlinear Structures and Systems
Subtitle of host publication	Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024
Editors	Matthew R. W. Brake, Ludovic Renson, Robert J. Kuether, Paolo Tiso
Publisher	Springer, Cham
Pages	51-56
Number of pages	6
Volume	1
ISBN (Electronic)	9783031694097
ISBN (Print)	9783031694080, 9783031694110
DOIs	https://doi.org/10.1007/978-3-031-69409-7_9
Publication status	Published - 8 Aug 2024

Publication series

Name	Conference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)	2191-5644
ISSN (Electronic)	2191-5652

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Publisher Copyright:
© The Society for Experimental Mechanics, Inc. 2024.

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10.1007/978-3-031-69409-7_9

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Park, K., Allen, M. S., de Bono, M., Colombo, A., Frangi, A., Gobat, G., Haller, G., Hill, T., Jain, S., Kramer, B., Li, M., Salles, L., Najera-Flores, D. A., Neild, S., Renson, L., Saccani, A., Sharma, H., Shen, Y., Tiso, P., ... Tadmor, E. (2024). Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate. In M. R. W. Brake, L. Renson, R. J. Kuether, & P. Tiso (Eds.), Nonlinear Structures and Systems: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024 (Vol. 1, pp. 51-56). (Conference Proceedings of the Society for Experimental Mechanics Series). Springer, Cham. https://doi.org/10.1007/978-3-031-69409-7_9

Park, Kyusic ; Allen, Matthew S. ; de Bono, Max et al. / Reduced Order Modeling Research Challenge 2023 : Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate. Nonlinear Structures and Systems: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024. editor / Matthew R. W. Brake ; Ludovic Renson ; Robert J. Kuether ; Paolo Tiso. Vol. 1 Springer, Cham, 2024. pp. 51-56 (Conference Proceedings of the Society for Experimental Mechanics Series).

@inproceedings{8174a6163b1d4e179cecd5f5903fb2fa,

title = "Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate",

abstract = "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.",

author = "Kyusic Park and Allen, {Matthew S.} and {de Bono}, Max and Alessio Colombo and Attilio Frangi and Giorgio Gobat and George Haller and Tom Hill and Shobhit Jain and Boris Kramer and Mingwu Li and Loic Salles and Najera-Flores, {David A.} and Simon Neild and Ludovic Renson and Alexander Saccani and Harsh Sharma and Yichang Shen and Paolo Tiso and Todd, {Michael D.} and Cyril Touz{\'e} and Damme, {Christopher Van} and Alessandra Vizzaccaro and Zhenwei Xu and Ryan Elliot and Ellad Tadmor",

note = "Publisher Copyright: {\textcopyright} The Society for Experimental Mechanics, Inc. 2024.",

year = "2024",

month = aug,

day = "8",

doi = "10.1007/978-3-031-69409-7_9",

language = "English",

isbn = "9783031694080",

volume = "1",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

publisher = "Springer, Cham",

pages = "51--56",

editor = "Brake, {Matthew R. W.} and Ludovic Renson and Kuether, {Robert J.} and Paolo Tiso",

booktitle = "Nonlinear Structures and Systems",

address = "Switzerland",

}

Park, K, Allen, MS, de Bono, M, Colombo, A, Frangi, A, Gobat, G, Haller, G, Hill, T, Jain, S, Kramer, B, Li, M, Salles, L, Najera-Flores, DA, Neild, S, Renson, L, Saccani, A, Sharma, H, Shen, Y, Tiso, P, Todd, MD, Touzé, C, Damme, CV, Vizzaccaro, A, Xu, Z, Elliot, R & Tadmor, E 2024, Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate. in MRW Brake, L Renson, RJ Kuether & P Tiso (eds), Nonlinear Structures and Systems: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024. vol. 1, Conference Proceedings of the Society for Experimental Mechanics Series, Springer, Cham, pp. 51-56. https://doi.org/10.1007/978-3-031-69409-7_9

Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate. / Park, Kyusic; Allen, Matthew S.; de Bono, Max et al.
Nonlinear Structures and Systems: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024. ed. / Matthew R. W. Brake; Ludovic Renson; Robert J. Kuether; Paolo Tiso. Vol. 1 Springer, Cham, 2024. p. 51-56 (Conference Proceedings of the Society for Experimental Mechanics Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Reduced Order Modeling Research Challenge 2023

T2 - Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate

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 - Damme, Christopher Van

AU - Vizzaccaro, Alessandra

AU - Xu, Zhenwei

AU - Elliot, Ryan

AU - Tadmor, Ellad

PY - 2024/8/8

Y1 - 2024/8/8

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.

U2 - 10.1007/978-3-031-69409-7_9

DO - 10.1007/978-3-031-69409-7_9

M3 - Conference Contribution (Conference Proceeding)

SN - 9783031694080

SN - 9783031694110

VL - 1

T3 - Conference Proceedings of the Society for Experimental Mechanics Series

SP - 51

EP - 56

BT - Nonlinear Structures and Systems

A2 - Brake, Matthew R. W.

A2 - Renson, Ludovic

A2 - Kuether, Robert J.

A2 - Tiso, Paolo

PB - Springer, Cham

ER -

Park K, Allen MS, de Bono M, Colombo A, Frangi A, Gobat G et al. Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate. In Brake MRW, Renson L, Kuether RJ, Tiso P, editors, Nonlinear Structures and Systems: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024. Vol. 1. Springer, Cham. 2024. p. 51-56. (Conference Proceedings of the Society for Experimental Mechanics Series). doi: 10.1007/978-3-031-69409-7_9

Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate

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