Reduced Order Modeling Research Challenge 2023
Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate
Kyusic Park (University of Minnesota)
Matthew S. Allen (Brigham Young University)
Max de Bono (University of Bristol)
Alessio Colombo (Politecnico di Milano)
Attilio Frangi (Politecnico di Milano)
Giorgio Gobat (Politecnico di Milano)
George Haller (ETH Zürich)
Tom Hill (University of Bristol)
Shobhit Jain (TU Delft - Numerical Analysis)
Boris Kramer (University of California San Diego)
Mingwu Li (Southern University of Science and Technology )
Loic Salles (Université de Liège)
David A. Najera-Flores (University of California San Diego)
Simon Neild (University of Bristol)
Ludovic Renson (Imperial College London)
Alexander Saccani (ETH Zürich)
Harsh Sharma (University of California San Diego)
Yichang Shen (Imperial College London)
Paolo Tiso (ETH Zürich)
Michael D. Todd (University of California San Diego)
Cyril Touzé (ENSTA Paris)
Christopher Van Damme (ATA Engineering, Inc.)
Alessandra Vizzaccaro (University of Exeter)
Zhenwei Xu (ETH Zürich)
Ryan Elliot (University of Minnesota)
Ellad Tadmor (University of Minnesota)
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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.