The toolbox for simulating and identifying nonlinear mechanical systems

NonlinTools™ is a bleeding-edge software platform for simulating and identifying nonlinear mechanical systems. With NonlinTools™ you can simulate time responses, or frequency responses for arbitrary input forces on a multitude of nonlinear systems. The software builds on our unique, breakthrough technology for computing forced response for linear systems in the time domain. In NonlinTools™, this technology has been extended to multiple-degree-of-freedom nonlinear systems with arbitrary force inputs.

The key to a successful implementation of experimental analysis of nonlinear systems lies in the ability to simulate arbitrary nonlinear systems. To develop an experimental method you need to be able to produce simulated results on known nonlinear systems. Thus, being able to produce time data from arbitrary nonlinear systems is of vital importance. With our innovative solutions, you can now compute time domain forced response for linear or nonlinear MDOF systems with forces in arbitrary locations. The methods are fast and reliable, and with unprecedented dynamic range and accuracy. We have published many papers describing these methods, which are available on our website.

In NonlinTools™ we also utilize common methods like harmonic balance; a powerful and practical method for investigating nonlinear systems. The software includes simulation of harmonic balance measurements on any nonlinear system. There are also built-in noise generators to simulate true random or burst random measurements.

Key Features

• Simulation of forced response of linear SDOF and MDOF systems with M, C, K; or M, K, and modal damping; or residues and poles.
• Simulation of forced response of nonlinear SDOF and MDOF systems with M, C, K; or M, K, and modal damping; or residues and poles. Many different implementations.
• Harmonic balance computation from any time signals, experimental or simulated.
• Generation of test signals with sine sweeps, pure random and burst random, for simulation with the routines for forced response computation.
• MIMO estimation of nonlinear multiple-input models according to Julius Bendat.

Requirements

MATLAB 5.1 or higher from The MathWorks Inc.
Signal Processing Toolbox from The MathWorks Inc.
VibraTools™.

Continue
Top of Page