Model Order Reduction . Volume 1 System- and Data-Driven Methods and Algorithms / / ed. by Peter Benner |
Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2021] |
Descrizione fisica | 1 online resource (X, 378 p.) |
Disciplina | 515.353 |
Collana | Model Order Reduction |
Soggetto topico | MATHEMATICS / Numerical Analysis |
ISBN | 3-11-049896-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Preface to the first volume of Model Order Reduction -- Contents -- 1 Model order reduction: basic concepts and notation -- 2 Balancing-related model reduction methods -- 3 Model order reduction based on moment-matching -- 4 Modal methods for reduced order modeling -- 5 Post-processing methods for passivity enforcement -- 6 The Loewner framework for system identification and reduction -- 7 Manifold interpolation -- 8 Vector fitting -- 9 Kernel methods for surrogate modeling -- 10 Kriging: methods and applications -- Index |
Record Nr. | UNISA-996445849203316 |
Berlin ; ; Boston : , : De Gruyter, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Nonlinear Structures & Systems, Vol. 1 : Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024 / / edited by Matthew R.W. Brake, Ludovic Renson, Robert J. Kuether, Paolo Tiso |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (VIII, 154 p. 102 illus., 92 illus. in color.) |
Disciplina | 690.21 |
Collana | Conference Proceedings of the Society for Experimental Mechanics Series |
Soggetto topico |
Statics
Building materials Buildings - Design and construction Civil engineering Aerospace engineering Astronautics Mechanical Statics and Structures Structural Materials Building Construction and Design Civil Engineering Aerospace Technology and Astronautics |
ISBN | 3-031-69409-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Experimental Bifurcation Forecasting using the Transient Response of an Airfoil in a Wind Tunnel -- 2. Challenges in Simulating the Forced Vibration Response of Assembled Space Structures -- 3. The Impact of Non-unique Residual Tractions on the Nonlinear Dynamics of Jointed Structures: Probabilistic Perspectives -- 4. Identifying Localised Nonlinearities: Nonlinear Restoring Force Surface in Piecewise Multi-degree-of-freedom Systems -- 5. Incorporating Implicit Condensation into Data-Driven Reduced-Order Models for Nonlinear Structures -- 6. Nonlinear Behaviour in Flexible, Large-Scale Space Structures: Dynamics and Control -- 7. A Harmonic Balance-Based Tracking Procedure for Amplitude Resonances -- 8. A Tutorial on Nonlinear Model Order Reduction -- 9. Reduced Order Modeling Research Challenge 2023: Nonlinear Dynamic Response Predictions for an Exhaust Cover Plate -- 10. More than Joints - Prof. Lothar Gaul's Contributions to IMAC -- 11. Effects of Non-unique Residual Traction on the Non-repeatability of the Dynamics of Jointed Structures -- 12. Explanation for Oscillating Backbone Curves based on Fractional Spectral Submanifolds -- 13. Evaluation of Interface Reduction Techniques for Systems with Frictional Contacts within the Scope of the Harmonic Balance Method -- 14. Analyzing Nonlinear Structures with Random Excitation using Integral Quadratic Constraints -- 15. Nonlinear Normal Modes of Highly Flexible Beam Structures Modelled Under the SE(2) Lie Group Framework -- 16. Extension and Experimental Verification of an Efficient Re-Analysis Method for Modified Nonlinear Structures -- 17. Modeling Nonlinear Beam Vibrations - A Comparison Between Classical and Data-Driven Approaches -- 18. Nonlinear System Identification with Multiple Data Sets for Structures with Bolted Joints -- 19. Nonlinear Vibration Analysis of a Two-Blade System with Shroud-To-Shroud Contact by using Response Dependent Nonlinear Normal Modes -- 20. Evaluating New Nonlinear System Identification Methods on Curved Beams -- 21. Numerical Investigation of a Reluctance Force Shunt Damping System -- 22. On the use of the Generating Series for the Impulse Response of Duffing’s Equation -- 23. Effect of Loss Functions on the Learning Capabilities of Physics-Informed Neural Networks in Mechanical Systems -- 24. Dynamic Response of Damping Estimation of Layered Plate Systems Under Shock Loading. |
Record Nr. | UNINA-9910897987003321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Nonlinear Structures & Systems, Volume 1 : Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023 / / edited by Matthew R.W. Brake, Ludovic Renson, Robert J. Kuether, Paolo Tiso |
Autore | Brake Matthew R. W |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (257 pages) |
Disciplina | 620.104 |
Altri autori (Persone) |
RensonLudovic
KuetherRobert J TisoPaolo |
Collana | Conference Proceedings of the Society for Experimental Mechanics Series |
Soggetto topico |
Multibody systems
Vibration Mechanics, Applied Statics Building construction System theory Multibody Systems and Mechanical Vibrations Mechanical Statics and Structures Engineering Mechanics Solid Construction Complex Systems |
ISBN | 3-031-36999-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- 1 On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black-Box Model -- 1.1 Introduction -- 1.2 Machine Learning for Structural Dynamics -- 1.3 A Three-Storey Building Dataset -- 1.4 Statistics of the Model Gradients as a Nonlinearity Metric -- 1.5 Conclusions -- References -- 2 Robust Identification of Nonlinear Oscillators from Frequency Response Data -- 2.1 Introduction -- 2.2 System Identification -- 2.3 Results -- 2.4 Conclusions -- References -- 3 Creating Data-Driven Reduced-Order Models for Nonlinear Vibration via Physics-Informed Neural Networks -- 3.1 Introduction -- 3.2 Methodology -- 3.2.1 Example: Five-Degree-of-Freedom, Nonlinear Mass-Spring Model -- 3.2.2 Data Generation -- 3.2.3 Long Short-Term Memory -- 3.2.4 Physics-Informed Loss Function -- 3.3 Conclusions -- References -- 4 Effect of Structural Parameters on the Nonlinear Vibration of L-Shaped Beams -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Formulation of the L-Shaped Beam -- 4.2.2 Discretization of the Nonlinear PDEs by Using Galerkin's Method -- 4.2.3 Multiharmonic Harmonic Balance Method (HBM) -- 4.3 Results and Discussions -- 4.3.1 Linear Model Results -- 4.3.2 Case Studies -- 4.4 Conclusion -- References -- 5 Importance of Virtual Sensing and Model Reduction in the Structural Identification of Bolted Assemblies -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Analysis and Discussion -- 5.4 Conclusion -- References -- 6 On the Harmonic Balance Method Augmented with Nonsmooth Basis Functions for Contact/Impact Problems -- 6.1 Introduction -- 6.2 Nonsmooth Galerkin Formulation -- 6.3 Least-Squares Regression Analysis -- 6.4 Conclusion -- References -- 7 Periodic Response Prediction for Hybrid and Piecewise Linear Systems -- 7.1 Introduction.
7.2 Periodic Response of Harmonically-Excited Time-Switched Hybrid Systems -- 7.3 Periodic Response of Harmonically-Excited Piecewise Linear Systems -- 7.4 Discussion and Conclusion -- References -- 8 A Tutorial on Data-Driven Methods in Nonlinear Dynamics -- 8.1 Introduction -- 8.2 Bayesian Inference and System Identification -- 8.3 System Identification Using Markov Chain Monte Carlo -- 8.4 Case Study in Parameter Estimation: The Duffing Oscillator -- 8.5 Model Selection and Approximate Bayesian Computation -- 8.6 Case Study in Equation Discovery: Hysteretic Systems -- 8.7 Coloured Boxes and Physics-Informed Machine Learning -- 8.7.1 Case Study: Prior Mean Functions-Residual Modelling -- 8.8 Conclusions -- References -- 9 Modeling Nonlinear Structures Using Physics-Guided, Machine-Learnt Models -- 9.1 Introduction -- 9.2 Background -- 9.3 Introducing Nonconservative Forces -- 9.4 Experimental Analysis -- 9.5 Exploiting Known Physics -- References -- 10 Bypassing the Repeatability Issue in Nonlinear Experimental Modal Analysis of Jointed Structures by Using the RCT-HFS Framework -- 10.1 Repeatability Issue -- 10.2 Application of the RCT-HFS Framework to the Orion Beam -- 10.3 Discussions and Conclusions -- References -- 11 Towards Exact Statistically Independent Nonlinear Normal Modes via the FPK Equation -- 11.1 Introduction -- 11.2 The Fokker-Planck-Kolmogorov Equation -- 11.3 Direct NNMs in a Single Dimension -- 11.3.1 A Cautionary Result -- 11.4 Towards Direct MDOF NNMs -- 11.5 Discussion -- References -- 12 Simulating Nonlinear Beating Phenomena Induced by Dry Friction in Dynamic Systems -- 12.1 Introduction -- 12.2 Background -- 12.2.1 Lumped Parameter Model -- 12.3 Analysis -- 12.3.1 Numerical Integration Scheme -- 12.4 Conclusion -- References -- 13 Case Study on the Effect of Nonlinearity in Dynamic Environment Testing -- 13.1 Introduction. 13.2 Setting of Problem -- 13.3 Results -- 13.4 Conclusions -- References -- 14 Strategies for Improving the Comparison of Frequency Response Functions with Similarity Metrics -- 14.1 Introduction -- 14.2 Simulation -- 14.3 Experimental Validation -- 14.4 Conclusions -- Appendix -- References -- 15 Resonant Characterization of Nonlinear Structures in the Co-existence of Multiple Resonant Components -- 15.1 Introduction -- 15.2 Methodology -- 15.3 Numerical Illustrations on a Two-DOF System -- 15.3.1 Two-Component Single Harmonic Balance Results -- 15.4 Conclusions -- References -- 16 Derivative-Less Arclength Control-Based Continuation for the Experimental Identification of Nonlinear Frequency Responses -- 16.1 Arclength Continuation: The Basic Idea -- 16.2 Numerical Example -- 16.3 Conclusion -- References -- 17 Experimental Modal Analysis of Structures with High Nonlinear Damping by Using Response-Controlled Stepped-Sine Testing -- 17.1 Introduction -- 17.2 Nonlinear Experimental Modal Analysis with the RCT-HFS Framework -- 17.3 Experiment -- 17.4 Discussions and Conclusions -- References -- 18 The TRChallenge: Experimental Quantification of Nonlinear Modal Parameters and Confrontation with the Predictions -- 18.1 Introduction -- 18.2 Experimental Setup and Test Strategies -- 18.3 Results -- 18.4 Conclusion -- References -- 19 Using Abaqus with Python to Perform QSMA on the TMD Structure -- 19.1 Introduction -- 19.2 Theory -- 19.2.1 Using Python to Perform QSMA -- 19.2.1.1 Using Abaqus's Restarts -- 19.2.1.2 Rough Friction vs. Lagrange Friction -- 19.3 Case Study 1: Stacked Beam -- 19.3.1 Application of Quasi-static Modal Analysis -- 19.3.1.1 Post-Processing Results from the Static Analysis -- 19.3.2 Validation of Pseudo-inverse Approach -- 19.4 Case Study 2: 2D TMD Benchmark Structure-10pt -- 19.4.1 Results. 19.5 Case Study 3: 3D TMD Benchmark Structure -- 19.6 Conclusions -- Appendix -- References -- 20 A Novel Approach for Local Structural Modification of Nonlinear Structures -- 20.1 Introduction -- 20.2 Theory -- 20.3 Case Studies -- 20.4 Conclusions -- References -- 21 Model Validation of a Modular Foam Encapsulated Electronics Assembly with Controlled Preloads via Additively Manufactured Silicone Lattices -- 21.1 Introduction -- 21.2 Geometry -- 21.3 Materials -- 21.4 Homogenized Material Paramaterization for DIW Lattice Structures -- 21.5 Experimental Methods -- 21.6 Finite Element Analysis -- 21.7 Results -- 21.8 Conclusion -- References -- 22 Characterizing the Dynamic Response of a Foam-Based Testbed with Material, Geometric, and Experimental Uncertainties -- 22.1 Introduction -- 22.2 Methods -- 22.3 Results and Analysis -- 22.4 Discussion -- 22.5 Conclusion -- Appendix -- References -- 23 Experimental Investigation on Frictional Interfaces of a Bolted Flange System -- 23.1 Introduction -- 23.2 Experimental Setups -- 23.3 Results and Discussion -- 23.4 Conclusion -- References -- 24 Estimation of Wheel Center Forces of a Car, Without Neither Load Sensor Nor Strain Gauge Measurements When Crossing a Groove on the Road -- 24.1 Introduction -- 24.2 Background -- 24.2.1 Rotation Representation -- 24.2.2 Multi-body Equations -- 24.2.3 The Constraints Equations -- 24.3 Kalman Filtering of the Multi-body Model -- 24.3.1 The Augmented and Constrained Extended Kalman Filter (ACEKF) -- 24.3.2 Kalman Prediction -- 24.3.3 Kalman Correction -- 24.3.4 Kalman Modifications -- 24.4 Analysis -- 24.4.1 Model Studied -- 24.4.2 Experimentation of Alternative Kalman Filters -- 24.5 Conclusion -- References -- 25 Nonlinear Dynamics, Continuation, and Stability Analysis of a Shaft-Bearing Assembly -- 25.1 Introduction -- 25.2 System Modeling and Numerical Methods. 25.3 Frequency Response Analysis -- 25.4 Conclusions -- References -- 26 Quantification of Amplitude- and Rotation Speed-Dependent Nonlinearity of Machine Tool Spindles -- 26.1 Introduction -- 26.2 Selected Results -- 26.3 Conclusions -- References -- 27 Toward Active Control of Limit Cycle Oscillations in an Aeroelastic Wing Using a Variable Frequency Flow Disturbance Generator -- 27.1 Introduction -- 27.2 Methodology -- 27.3 Results and Analysis -- 27.4 Planned Future Work -- 27.5 Conclusions -- References -- 28 Experimental Parameter Identification of Nonlinear Mechanical Systems via Meta-heuristic Optimisation Methods -- 28.1 Introduction -- 28.2 Experimental Test Rig and Nonlinear Analysis -- 28.3 Model Updating of the Underlying Linear System -- 28.4 Nonlinear Model Updating -- 28.5 Conclusion -- References -- 29 Investigation of the Nonlinear Dynamics of a Particle-Damped Slender Beam by Experimental Continuation -- 29.1 Introduction -- 29.2 Theoretical Background of Experimental Continuation -- 29.3 Experimental Setup -- 29.4 Results -- References -- 30 Identification of Nonlinear Characteristics of an Additive Manufactured Vibration Absorber -- 30.1 Introduction -- 30.2 Experimental Test Rig -- 30.3 Linear System Characterisation -- 30.4 Nonlinear System Characterisation -- 30.5 Conclusion -- References -- 31 Resonant Vibration Absorbers with Impacts -- 31.1 Introduction -- 31.2 Methodology -- 31.3 Results and Discussion -- 31.4 Conclusions -- References -- 32 Modeling and Verifying the Dynamic Response of Layered Plate Damping Systems -- 32.1 Introduction -- 32.2 Background -- 32.3 Experimental Testing Methodology -- 32.3.1 Test Setup and Considerations -- 32.3.2 Test Procedure -- 32.4 Finite Element Procedure -- 32.4.1 Model Setup -- 32.4.2 Mesh Convergence and Material Property Estimation -- 32.4.3 Simulation Steps -- 32.5 Results. 32.5.1 Numerical and Experimental Comparison. |
Record Nr. | UNINA-9910760265903321 |
Brake Matthew R. W | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Substructuring in Engineering Dynamics : Emerging Numerical and Experimental Techniques / / by Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes |
Autore | Allen Matthew S |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (284 pages) |
Disciplina |
624.171
620.104015118 |
Collana | CISM International Centre for Mechanical Sciences, Courses and Lectures |
Soggetto topico |
Vibration
Dynamical systems Dynamics Mechanics Mechanics, Applied Computer mathematics Vibration, Dynamical Systems, Control Solid Mechanics Computational Science and Engineering |
ISBN | 3-030-25532-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction and motivation -- Preliminaries: primal and dual assembly of dynamic models -- Model reduction concepts and subsctructuring approaches for linear systems -- Experimental substructuring -- Industrial applications related concepts -- Model reduction concepts and substructuring approaches for non-linear systems -- Weakly nonlinear systems: modeling and experimental methods -- References. |
Record Nr. | UNINA-9910366600403321 |
Allen Matthew S | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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