View source for Experimental Techniques for Nonlinear System Identification Using a Nonlinear Modal Model Framework Ben Pacini April2523

{{DISPLAYTITLE:Experimental Techniques for Nonlinear System Identification Using a Nonlinear Modal Model Framework by Ben Pacini, April 25, 2023}}
==Experimental Techniques for Nonlinear System Identification Using a Nonlinear Modal Model Framework==

Ben Pacini

Principal Member of Technical Staff, Sandia National Laboratories

April 25, 2023

===Abstract:===

Structural dynamics is a critical aspect of mechanical design of high consequence systems. Historically this has been conducted under a linear framework. This provides many benefits such as computational efficiency, mathematical convenience, and test-model correlation advantages. Specifically, the ability to reduce a structure to the response of its modes of vibration is an extremely powerful feature. However, systems are known to exhibit nonlinear physics from sources such as bolted joints. At Sandia National Laboratories, much work has been done using a modal framework, but incorporating nonlinear elements in parallel with their linear counterparts in order to capture the amplitude-dependent characteristics of structures. This seminar will introduce this nonlinear modal model framework, as well as provide helpful tips in conducting experiments and examples of implementation in complex hardware.
 
===Biography:===

Ben Pacini is a Principal Member of Technical Staff at Sandia National Laboratories, where he has worked for 12 years. Since 2013, he has worked in the Structural Dynamics department conducting modal tests and researching nonlinear structural dynamics. Ben received his Bachelor’s Degree in Mechanical Engineering from the University of Colorado at Colorado Springs in 2008 and a Master’s Degree in Mechanical Engineering from Oklahoma State University in 2011.


==Video Presentation ==
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[[Category:Seminar_Series]]