ME 4233/6233 Fundamentals of FEA

Trust Nonlinear Dynamic

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Description

The TRUST project's goal is to promote the efficient and responsive development of experimental, modeling, and simulation capabilities for future systems by constructing realistic testbeds that can be exercised more readily and efficiently. The testbeds will be used to conduct experiments in present and future engineering environments using complimentary modeling and simulation. TRUST required several tools in preproduction states and helped identify key features for future development. The required tools include: 1. Automated simulation management from the engineering common model framework (ECMF) 2. Version controlled model repositories for engineering analysis baseline models (EABM) 3. Experimental results databases (TIMS) 4. Communication and propagation of uncertainty (ECMF and TIMS) Future work will establish uncertainty propagation and explore additional and combined engineering environments. TRUST consists of three testbeds and the engineering analysis baseline models (EABMs) that go with them:

1. contact thermal conductivity (CTC)

2. nonlinear dynamics (ND)

3. sensors in environments (SE).

This project will focus on Nonlinear Dynamics (ND) testbed. Nonlinear material qualities can occasionally generate nonlinear behavior of a system under dynamic loading conditions. Many components of importance to the Weapons division at Los Alamos National Laboratory exhibit this behavior (LANL). The TRUST nonlinear dynamics testbed was created to investigate and improve on present dynamic modeling capabilities. Car crash, airplanes impact, bullets crossing metals, these materials deformed and their rate of strain changes in the material properties. That’s why it is a non-linear dynamic. Time is also a parameter in this and so does the non-linear material properties.

The goal of this research is to predict frequency of the linear response.

Keywords

Nonlinear, Dynamic, Trust, Abaqus, Spring, Frequency, Testbed

Disciplines

Engineering | Mechanical Engineering

College

James Worth Bagley College of Engineering

Department

Department of Mechanical Engineering

Trust Nonlinear Dynamic

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