Background <p>As a core parameter characterizing the ability of materials and structures to dissipate vibrational energy, the loss factor directly affects a structure’s vibration and noise reduction performance and dynamic stability. Analyzing this parameter is of guiding significance to structural design in precision machinery, aerospace, shipbuilding, and civil engineering.</p> Methods <p>An Energy Dissipation Boundary Spectrum is defined, aiming to reveal their frequency‑domain attributes and intrinsic coupling with dimensionless structural features. enabling synchronous analysis of the frequency‑domain distribution of the structural loss factor together with structural characteristics, and the distribution rules in the spectrum is visualized.</p> Results <p>Research indicates that the structural loss factor exhibits a general trend of “higher values at low frequencies and lower values at high frequencies” in the frequency domain. Structural characteristics manifest as the loss factor increasing with the aspect ratio, with an approximate increase of 1% to 10%, and decreasing with increasing curvature, with a reduction of about 2.5% for each unit increase in curvature.</p> Conclusions <p>The results provide theoretical foundations and experimental support for quantitative regulation of loss factors and the optimal design of damping structures.</p>

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Experimental Study on the Multi‑Dimensional Correlation Characteristics of Structural Loss Factor

  • Xu Jiang,
  • Guo Jun,
  • Zhao Xiaojun,
  • Zhang Yin,
  • Wang Shuang

摘要

Background

As a core parameter characterizing the ability of materials and structures to dissipate vibrational energy, the loss factor directly affects a structure’s vibration and noise reduction performance and dynamic stability. Analyzing this parameter is of guiding significance to structural design in precision machinery, aerospace, shipbuilding, and civil engineering.

Methods

An Energy Dissipation Boundary Spectrum is defined, aiming to reveal their frequency‑domain attributes and intrinsic coupling with dimensionless structural features. enabling synchronous analysis of the frequency‑domain distribution of the structural loss factor together with structural characteristics, and the distribution rules in the spectrum is visualized.

Results

Research indicates that the structural loss factor exhibits a general trend of “higher values at low frequencies and lower values at high frequencies” in the frequency domain. Structural characteristics manifest as the loss factor increasing with the aspect ratio, with an approximate increase of 1% to 10%, and decreasing with increasing curvature, with a reduction of about 2.5% for each unit increase in curvature.

Conclusions

The results provide theoretical foundations and experimental support for quantitative regulation of loss factors and the optimal design of damping structures.