Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications

DOI10.1007/978-3-030-72983-7_12zbMath1480.93064OpenAlexW3198055478MaRDI QIDQ5014029

Stefan Sicklinger, Sabine C. Langer, Rupert Ullmann, Harikrishnan K. Sreekumar

Publication date: 3 December 2021

Published in: Model Reduction of Complex Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-72983-7_12

zbMATH Keywords

finite element methodKrylov subspace methodvibroacousticscoupled system response

Mathematics Subject Classification ID

Application models in control theory (93C95) Frequency-response methods in control theory (93C80) Random vibrations in mechanics of particles and systems (70L05) System structure simplification (93B11)

Cites Work

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• Machine tool simulation based on reduced order FE models
• Rang revealing QR factorizations
• Reduced order fully coupled structural-acoustic analysis via implicit moment matching
• A fully adaptive rational global Arnoldi method for the model-order reduction of second-order MIMO systems with proportional damping
• Order reduction of large scale second-order systems using Krylov subspace methods
• Structure-preserving model reduction using a Krylov subspace projection formulation
• A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
• Subspace recycling accelerates the parametric macro-modeling of MEMS
• Recycling BiCG with an Application to Model Reduction
• Recycling BiCGSTAB with an Application to Parametric Model Order Reduction
• Fast frequency response computation for Rayleigh damping
• Recycling Krylov Subspaces for Sequences of Linear Systems
• Reorthogonalization and Stable Algorithms for Updating the Gram-Schmidt QR Factorization
• Finite Element and Boundary Methods in Structural Acoustics and Vibration
• Dimension Reduction of Large-Scale Second-Order Dynamical Systems via a Second-Order Arnoldi Method
• Coupling of substructures for dynamic analyses.
• Approximation of Large-Scale Dynamical Systems
• Model-order reduction of large-scale second-order MIMO dynamical systems via a block second-order Arnoldi method

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