Correctly Interpret Random Vibration Analysis Results Using Ansys Mechanical — Lesson 3
Ansys Learning Ansys Learning
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 Published On May 20, 2022

Consider an airplane in flight or a train on its tracks — both experiencing random vibrations. To study such models with uncertain loads, we utilize random vibration analysis. The input of this analysis follows a Gaussian distribution and is statistically represented as a power spectral density. Because the input is uncertain, the output of this analysis is statistical in nature as well. As a result, unlike others, the directional outcomes (such as stresses) cannot be combined in the usual way; therefore correctly interpreting the results is crucial. In this video, we will discuss the importance of interpreting the results of a random vibration analysis correctly and how to do so.

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0:00 - Intro
1:06 - Statistical nature of the results/ output
2:15 - Scale factor for RMS Results (1 sigma, 2 sigma, & 3 sigma)
2:58 - Derived Results/ Derived Quantities
4:38 - Solution Coordinate System
5:08 - Importance of Element Orientation
5:43 - Response PSD Tool and benefits
5:58 - RPSD Definition
6:29 - RMS Definition
6:44 - Expected Frequency Definition
8:39 - Setting Element Orientation
9:04 - Requesting Sufficient Modes
10:01 - Participation Factor Listing
10:35 - Input PSD Specification
11:30 - Random Vibration Results
15:10 - Relative vs Absolute Results
16:33 - Frequency Clustering

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