Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations

In this work, we discuss the numerical challenges involved in the computation of the complex eigenvalues of damped multi-flexible-body problems. Aiming at the highest generality, the candidate method must be able to deal with arbitrary rigid body modes (free–free mechanisms), arbitrary algebraic con...

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Main Authors: Dario Mangoni, Alessandro Tasora, Chao Peng
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/2/218
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author Dario Mangoni
Alessandro Tasora
Chao Peng
author_facet Dario Mangoni
Alessandro Tasora
Chao Peng
author_sort Dario Mangoni
collection DOAJ
description In this work, we discuss the numerical challenges involved in the computation of the complex eigenvalues of damped multi-flexible-body problems. Aiming at the highest generality, the candidate method must be able to deal with arbitrary rigid body modes (free–free mechanisms), arbitrary algebraic constraints, and must be able to exploit the sparsity pattern of Jacobians of large systems. We propose a custom implementation of the Krylov–Schur method, proving its robustness and its accuracy in a variety of different complex test cases.
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spelling doaj.art-80e6ecfdfcf24be4ad413da01aae69d02023-11-16T21:45:31ZengMDPI AGMachines2075-17022023-02-0111221810.3390/machines11020218Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur IterationsDario Mangoni0Alessandro Tasora1Chao Peng2Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, ItalyIn this work, we discuss the numerical challenges involved in the computation of the complex eigenvalues of damped multi-flexible-body problems. Aiming at the highest generality, the candidate method must be able to deal with arbitrary rigid body modes (free–free mechanisms), arbitrary algebraic constraints, and must be able to exploit the sparsity pattern of Jacobians of large systems. We propose a custom implementation of the Krylov–Schur method, proving its robustness and its accuracy in a variety of different complex test cases.https://www.mdpi.com/2075-1702/11/2/218modal analysiseigenvaluesmultibodydamped modessparse eigenproblem
spellingShingle Dario Mangoni
Alessandro Tasora
Chao Peng
Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
Machines
modal analysis
eigenvalues
multibody
damped modes
sparse eigenproblem
title Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
title_full Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
title_fullStr Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
title_full_unstemmed Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
title_short Complex Eigenvalue Analysis of Multibody Problems via Sparsity-Preserving Krylov–Schur Iterations
title_sort complex eigenvalue analysis of multibody problems via sparsity preserving krylov schur iterations
topic modal analysis
eigenvalues
multibody
damped modes
sparse eigenproblem
url https://www.mdpi.com/2075-1702/11/2/218
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AT chaopeng complexeigenvalueanalysisofmultibodyproblemsviasparsitypreservingkrylovschuriterations