SSMTool 2.4 (beta): Computation of invariant manifolds in high-dimensional mechanics problems

What's new in SSMTool 2.4 Computation of higher-order approximations to non-autonomous invariant manifolds, Applications to computation of stability diagrams and forced response curves in nonlinear mechanical systems under parametric resonance, Improvements in computation using the multi-index notation instead of the tensor notation. This package computes invariant manifolds in high-dimensional dynamical systems using the Parametrization Method with special attention to the computation of Spectral Submanifolds (SSM) and forced response curves in finite element models. These invariant manifolds are computed in the physical coordinates using only the master modes resulting in efficient and feasible computations for high-dimensional finite-element problems. Additionally, the user has an option to choose among the graph or normal form style of parametrization. The computational methodology is described in the following article: [1] Jain, S. & Haller, G. How to compute invariant manifolds and their reduced dynamics in high-dimensional finite element models. Nonlinear Dyn (2021). https://doi.org/10.1007/s11071-021-06957-4 The theoretical and computational aspects for analyzing systems with internal resonances via multi-dimensional SSMs are given in the following articles: [2] Li, M., Jain, S. & Haller, G. Nonlinear analysis of forced mechanical systems with internal resonance using spectral submanifolds, Part I: Periodic response and forced response curve. Nonlinear Dyn 110, 1005–1043 (2022). https://doi.org/10.1007/s11071-022-07714-x [3] Li, M & Haller, G. Nonlinear analysis of forced mechanical systems with internal resonance using spectral submanifolds, Part II: Bifurcation and quasi-periodic response. Nonlinear Dyn 110, 1045–1080 (2022). https://doi.org/10.1007/s11071-022-07476-6 How SSMs are extended to constrained mechanical systems are discussed in the following article: [4] Li, M., Jain, S. & Haller, G. Model reduction for constrained mechanical systems via spectral submanifolds. To appear on Nonlinear Dyn (2023). https://doi.org/10.48550/arXiv.2208.03119 The treatment of systems subject to parametric resonance via higher-order approximations of nonautonomous SSMs is described in the following article: [5] Thurnher, T., Haller, G. & Jain, S. Nonautonomous spectral submanifolds for model reduction of nonlinear mechanical systems under parametric resonances. Preprint (2023) In this version, we demonstrate the computational methodology over the following small academic examples as well high-dimensional finite element problems using the FE package YetAnotherFECode First-order examples: BenchmarkSSM1stOrder: computation of 1D stable SSM of a two-dimensional system Lorenz1stOrder: computation of 1D unstable SSM of the Lorenz system CharneyDeVore1stOrder: computation of 1D/2D unstable SSMs of a six-dimensional system Complex Dyn: example of 4D first-order dynamical system with complex coefficients benchmarked against SSMTool 1.0. Second-order examples: Oscillator chain: two coupled oscillators with 1:2 internal resonance, three coupled oscillators with 1:1:1 internal resonance and n coupled oscillators without any internal resonances. [1] Bernoulli beam: modeled using linear finite elements with localized nonlinearity in the form of a cubic spring with and without 1:3 internal resonances (IR) and demonstration of bifurcation to quasiperiodic response on a 3D torus. [3] von Karman straight beam in 2D: geometrically nonlinear finite element model with and without internal resonance (1:3) and demonstration of bifurcation to quasiperiodic response on a 2D torus. [1,2,3] von Karman plate in 3D: geometrically nonlinear finite element model of a square flat plate with demonstration of parallel computing, 1:1 internal resonance and bifurcation to quasiperiodic response on a 2D torus. [2,3] von Karman shell-based shallow curved panel in 3D: geometrically nonlinear finite element model with and without 1:2 internal resonance. [2] Prismatic beam: nonlinear beam PDE discretized using Galerkin method onto a given number of modes, comparison with the method of multiple scales, demonstration of 1:3 internal internal resonance AxialMovingBeam: an axially moving beam with gyroscopic and nonlinear damping forces [2] TimoshenkoBeam: a cantilever Timoshenko beam carrying a lumped mass. This example demonstrates the effectiveness of SSM reduction for systems undergoing large deformations. [2] NACA airfoil based aircraft wing model: shell-based nonlinear finite element model containing more than 100,000 degrees of freedom. [1] Constrained mechanical systems [4] 3D oscillator constrained in a surface Pendulums in Cartesian coordinates: single pendulum, pendulum-slider with 1:3 internal resonance, and a chain of pendulums Frequency divider: two geometrically nonlinear beams connected via a revolute joint Computation of stability diagrams and forced response curves in mechanical systems under parametric resonance: 1-DOF Mathieu oscillator with periodically-varying linear and cubic spring Coupled system of two Mathieu oscillators with cubic nonlinearity [5] Self-excited 2-DOF-oscillator system with cubic nonlinearity, time-varying stiffness as well as external periodic forcing, where the forced response exhibits multiple isolas Self-excited 2-DOF-oscillator system with external and parametric excitation [5] Parametric amplification in coupled-oscillators due to nonlinear damping and time-varying stiffness and external periodic forcing with a phase lag relative to stiffness. Prismatic beam: nonlinear beam PDE discretized using Galerkin method onto a given number of modes, demonstration of axial stretching leading to parametric excitation of transverse degrees of freedom. [5] Bernoulli beam attached to a spring time-varying linear stiffness along with a nonlinear damper and spring: Stability diagrams as well as forced response curves (exhibiting isolas) are constructed over two-dimensional SSMs. [5] This package uses the following external open-source packages: Continuation core (coco) https://sourceforge.net/projects/cocotools/ Sandia tensor toolbox: https://gitlab.com/tensors/tensor_toolbox Combinator: https://www.mathworks.com/matlabcentral/fileexchange/24325-combinator-combinations-and-permutations YetAnotherFECode: Zenodo http://doi.org/10.5281/zenodo.4011281 Tor: https://github.com/mingwu-li/torus_collocation In order to install the program, simply run the install.m file in the main folder. The examples can be found in the examples directory. Note: When running the examples in the livescript files (workbooks), please ensure that the MATLAB 'Current Folder' is the directory of the specific example. Please report any issues/bugs to Shobhit Jain (shobhit.jain@tudelft.nl) and Mingwu Li (limw@sustech.edu.cn