Observations of nonlinear eigen-states, localized versus non-imaging modal response of contact structures
Michael C. Kobold

TL;DR
This paper investigates how different measurement methods affect the understanding of nonlinear contact structures, revealing the emergence of 1/f noise due to modal energy distribution and coupling effects.
Contribution
It demonstrates the impact of observation techniques on modal analysis of nonlinear contact structures and explains the origin of 1/f noise through analysis and simulation.
Findings
Laser vibrometry reveals modal frequencies and transition probabilities.
Measurement method influences understanding of system dynamics.
Energy of vibrational modes decreases with increasing mode number.
Abstract
In scientific inquiry of small scale energy and transition events, the effect of an observer on the measurement can be substantial. Similarly, the methods of observation can create entirely different understandings of the system behavior, discussed here on a macro scale. An example using laser vibrometry analysis of nonlinear clattering contact of armor plate shows the difference between the common measurement-at-a-point compared to measuring the system dynamics from the simultaneous behavior of the entire structure which can be useful for remote identification of these ground and air vehicles. The former pencil-thin laser technique fits the keep-it-simple maxim but hides crucial coupling data. With careful observation methods it is possible to measure the structural modal frequencies and calculate the transition probabilities between these discrete modes. This work shows the genesis of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStructural Health Monitoring Techniques · Optical measurement and interference techniques · Advanced Measurement and Detection Methods
