Improving Quasi-Static Models Solved Via Explicit Dynamics FEA

This training module focuses on how to improve quasi-static models that are solved using transient Explicit Dynamics. Such solutions are used on highly nonlinear and challenging problems that show poor convergence behavior (or will not converge at all) with traditional implicit solution techniques. However, Explicit Dynamics solutions can create noise and aliasing problems that most FEA analysts are unaware of and ill-equipped to address properly. This class clearly outlines the DSP-related issues that can exist, and demonstrates strategies and techniques to handle them, ultimately resulting is significantly improved quasi-static solutions. This training is recommended for anyone using Explicit Dynamics techniques to solve challenging quasi-static problems, or for those interacting with such results.

Course Objectives & Benefits

• Learn the critical importance of obeying DSP rules to avoid aliasing and other distortions in these Explicit Dynamics solutions
• Learn about ways to improve your modeling approach to better utilize Explicit Dynamics for solving challenging nonlinear quasi-static problems that your normal implicit FEA code can not solve
• Learn tricks to apply efficiently smooth loads and BCs to lessen the noise in these models
• Explore an array of quasi-static examples that demonstrate how to properly request output (avoiding aliasing), and then post-process and filter such data to obtain amazingly accurate results

Course Outline

• General Comments On Quasi-Static Models
• Mass Scaling vs Speeding-up imposed loads and BCs
• Smoothly Applying Loads and BCs
• Exploring Detailed Examples
• Sliding Friction Against a Flexible Finger
• Snap-Fit Analysis
• Using Energy Methods & Derivatives to Enhance Interpretation of Quasi-Static Models
• Workshops
• Quasi-Static Cam Mechanism

Course Duration

• One session (3 hours total)

Prerequisites

• Some previous exposure to nonlinear FEA is recommended
• Basic understanding of digital signal processing similar to that taught in DSP Essentials module is recommended

Training Delivery Options

• Public Web Training via Zoom
• Cost: $280
• Request a customized course for your company/organization.
• Can be delivered LIVE over the web or in-person at your site.
• You can customize content, including having use utilize one or more of YOUR datasets in workshop examples.
• Click here to request a quote.