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March 13, 20260 citationsOpen Access

Induced Kinetic Energy and Polarization of Particle Motion

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SFSanto Salvatore Failla

Key Points

  • The study aims to analyze the effects of induced kinetic energy on material motion during dynamic events like seismic activities.
  • Developed theoretical foundations of induced kinetic energy
  • Utilized simulation methodology for dynamic excitation
  • Generated synthetic signals for data collection in multiple directions
  • Processed data to represent energy fields in various forms
  • Found a clear correlation between kinetic energy distribution and local dynamics
  • Demonstrated enhanced modeling of motion in three-dimensional representation
  • Highlighted the method's utility for predictive modeling of energetic behaviour

Abstract

The analysis of Induced Kinetic Energy (IKE) represents an innovative approach for studying internal motion phenomena in materials subjected to dynamic excitation, particularly in seismic events and complex mechanical systems. The principle introduced here considers the angular distribution of kinetic energy as a fundamental parameter for describing both the local and global response of a material point during induced motion. This formulation allows the direction and intensity of energy propagation to be evaluated, providing a more realistic three-dimensional representation than traditional models based only on scalar or vector components. In this work we present: the theoretical foundations of IKE, the simulation methodology, and the results obtained from synthetic signals generated in the North, East and Vertical directions. The data processing allowed the induced energy fields to be represented both in two-dimensional polar form and in three-dimensional angular surfaces. Preliminary results show a clear correlation between the angular distribution of induced kinetic energy and the local dynamics of the system, highlighting the potential of the method as a tool for investigating induced motion and predictive modelling of energetic behaviour.

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Cite This Study

Santo Salvatore Failla (2026) studied this question.

synapsesocial.com/papers/69b3ad6c02a1e69014ccf6c0https://doi.org/10.5281/zenodo.18956469
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Also Consider

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