Nonlinear graph in the Physical Pendulum

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SUMMARY

The discussion focuses on an experiment using a physical pendulum to measure gravitational acceleration (g), revealing a nonlinear trend in the resulting graph. This trend appears as the pivot point approaches the centroid, contradicting the expected linear behavior under small-amplitude oscillations. The participants speculate that the damping force may contribute to this deviation, suggesting that as the distance (d) from the pivot point to the centroid decreases, the oscillations transition from small to significant, impacting the linearity of the graph.

PREREQUISITES
  • Understanding of physical pendulum dynamics
  • Familiarity with gravitational acceleration measurement techniques
  • Knowledge of damping forces in oscillatory systems
  • Basic grasp of nonlinear dynamics and chaotic behavior
NEXT STEPS
  • Research the effects of damping forces on pendulum motion
  • Explore the mathematical modeling of nonlinear oscillations
  • Study the relationship between pivot point positioning and oscillation amplitude
  • Investigate chaotic behavior in physical systems and its implications
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Physics students, educators, and researchers interested in experimental mechanics, particularly those studying pendulum dynamics and nonlinear oscillatory behavior.

omicgavp
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We did an experiment using the physical pendulum to measure gravitational acceleration g. A graph is shown in this link:
http://i593.photobucket.com/albums/tt20/omicgavp/measuringggraph.jpg"

A nonlinear (possibly chaotic) trend can be seen in our graph even though we assumed small-amplitude oscillations. This trend has been observed as the pivot point goes near to the centroid. How did this happen? It disagrees with our equation (theory) found in the link! Can this be due to the damping force?
 
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T=period, I=moment of inertia, M=mass of the system, g=gravitational acceleration, d=distance from pivot point to centroid
 
I guess when d decreases, the otherwise small-amplitude oscillations become not so small, and that is why the graph is no longer linear.
 

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