IUTAM Symposium on Solver-Coupling and Co-Simulation :
[Book]
proceedings of the IUTAM Symposium on Solver-Coupling and Co-Simulation, Darmstadt, Germany, September 18-20 2017 /
Bernhard Schweizer, editor.
Cham, Switzerland :
Springer,
[2019]
1 online resource (295 pages)
IUTAM Bookseries ;
volume 35
Includes author index.
Intro; Organizing Committee; Members; Scientific Committee; Members; IUTAM Representative on Scientific Committee; Preface; Contents; 1 Relaxing Stiff System Integration by Smoothing Techniques for Non-iterative Co-simulation; 1.1 Introduction to Co-simulation; 1.2 Challenges in Non-iterative Co-simulation; 1.2.1 Sampling of the Coupling Signal; 1.2.2 Co-simulation Discretization Error; 1.2.3 Discontinuities at Coupling Time Instances; 1.3 Addressing Co-simulation Challenges; 1.3.1 Handling Co-simulation Discretization Errors; 1.3.2 Handling Aliasing Effects; 1.3.3 Handling Discontinuities
1.4 Theoretical Example: Lumped Propeller Shaft1.4.1 Lumped Propeller Shaft; 1.4.2 Lumped Propeller Shaft with Clutch; 1.4.3 Evaluation Results; 1.5 Industrial Example: Electric Machine FOC; 1.5.1 The Model; 1.5.2 Evaluation Results; 1.6 Conclusion; References; 2 TLM-Based Asynchronous Co-simulation with the Functional Mockup Interface; 2.1 Introduction; 2.1.1 Problem Description; 2.1.2 Related Work; 2.2 Numerical Solutions; 2.2.1 Constant Extrapolation; 2.2.2 Coarse-Grained Interpolation; 2.2.3 Fine-Grained Interpolation Inside the FMU; 2.2.4 One-Step Functions; 2.3 Numerical Experiments
2.3.1 1D Three-mass System2.3.2 2D Double Pendulum; 2.3.3 2D Single Pendulum; 2.3.4 Thermodynamic Connection; 2.4 Conclusions; References; 3 Local Extrapolation and Linear-Implicit Stabilization in a Parallel Coupling Scheme; 3.1 Introduction; 3.2 Prediction Strategies; 3.2.1 Local Extrapolation; 3.2.2 Linear-Implicit Stabilization; 3.3 Numerical Study; 3.3.1 Global and Local Extrapolation; 3.3.2 Linear-Implicit Stabilization with Implicit Euler-Step; 3.4 Conclusion; References; 4 Performance Improvement of Explicit Co-simulation Methods Through Continuous Extrapolation; 4.1 Introduction
4.2 Linear Test Model and System Decomposition4.3 Approximation Methods for Co-simulation; 4.3.1 Classical Discontinuous Approach; 4.3.2 Original C0-Continuous EXTRIPOL Approach; 4.3.3 C1 and C2-Continuous EXTRIPOL Approach; 4.3.4 Enhanced C0-Continuous EXTRIPOL Approach; 4.3.5 Approximation Error of the Methods; 4.4 Numerical Stability of the Co-simulation; 4.5 Global Error and Performance of the Co-simulation; 4.6 Conclusion; References; 5 Stable Adaptive Co-simulation: A Switched Systems Approach; 5.1 Introduction; 5.2 Motivational Example; 5.3 Background; 5.3.1 Co-simulation
5.3.2 (Numerical) Stability5.3.3 Joint Spectral Radius; 5.4 Stability Certification of Adaptive Co-simulations; 5.4.1 Stability; 5.4.2 Stabilization; 5.4.3 Conservativeness; 5.4.4 Implementation; 5.5 Related Work; 5.6 Conclusion; References; 6 The SNiMoWrapper: An FMI-Compatible Testbed for Numerical Algorithms in Co-simulation; 6.1 Introduction; 6.2 Approach; 6.3 Co-simulation Algorithm; 6.3.1 Prerequisites; 6.3.2 Capabilities of the Slave System; 6.3.3 The Algorithm; 6.3.4 Initialization; 6.4 Implementation; 6.5 Accuracy; 6.6 Applications; 6.6.1 Academic Example
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This is the Proceedings of the IUTAM Symposium on Solver Coupling and Co-Simulation that was held in Darmstadt, Germany, September 18-20, 2017. The symposium focused on recent advances in the development of numerical methods for solver coupling, like new explicit, implicit and semi-implicit co-simulation methods, new approaches for realizing variable communication-time grids, and advances in the stability and convergence analysis of solver coupling methods. Recent developments in the practical application of co-simulation methods, for instance new fields of application for solver coupling approaches, new developments in the parallelization of dynamic models with co-simulation techniques, and standardization of co-simulation interfaces, i.e. standardization of data and model exchange were also discussed. The book brings together the research results of leading scientists in applied mathematics, mechanics, and engineering science, thus contributing to further develop numerical methods for coupled simulations.
Springer Nature
com.springer.onix.9783030148836
IUTAM Symposium on Solver-Coupling and Co-Simulation.
9783030148829
Simulation methods, Congresses.
Simulation methods.
TEC009070
TGMD
TGMD
003/
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3
23
T57
.
62
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I98
2017
Schweizer, Bernhard
IUTAM Symposium on Solver-Coupling and Co-Simulation(2017 :, Darmstadt, Germany)