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The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
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Model-based autonomous plate defects visualization method for quantitative wall-thinning estimation.

To Kang1, Seong-Jin Han2, Seongin Moon1

  • 1Korea Atomic Energy Research Institute (KAERI), 111 Daedeok-daero 989 Beon-gil Yuseong-gu, Daejeon 34057, Republic of Korea.

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Summary
This summary is machine-generated.

A new autonomous method visualizes plate wall thinning using scanning laser Doppler vibrometry (SLDV). This nondestructive evaluation technique simplifies defect detection without requiring expertise in Lamb waves.

Keywords:
Lamb waveModel-based plate defect visualizationScanning laser Doppler vibrometerWavenumber sensitivityminimum wavenumber distance from reference mode (MDRM)

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Area of Science:

  • Nondestructive evaluation
  • Laser ultrasonics
  • Materials science

Background:

  • Scanning laser Doppler vibrometry (SLDV) shows promise for visualizing plate wall thinning.
  • Current methods rely on wavenumber analysis, which has limitations for automatic thickness estimation below 6 MHz·mm.
  • Lack of physical understanding of Lamb waves hinders automatic defect detection.

Purpose of the Study:

  • To propose a model-based autonomous method for quantitative imaging of plate wall thinning.
  • To enable inspectors to use SLDV for defect visualization without prior knowledge of Lamb waves or signal processing.
  • To validate the proposed method using interdigital-transducer-based SLDV.

Main Methods:

  • Development of a model-based autonomous visualization method for plate defects.
  • Utilizing continuous excitation Lamb-wave-based SLDV.
  • Experimental validation on carbon steel and aluminum plates with controlled wall thinning.

Main Results:

  • The proposed method achieves quantitative imaging of wall thinning in plates.
  • Experiments demonstrated equivalent defect detection capability compared to manual methods.
  • Successful validation on a 6-mm carbon steel plate (1-8% thinning) and a 2-mm aluminum plate with Y-shaped thinning.

Conclusions:

  • The model-based autonomous method effectively visualizes plate wall thinning using SLDV.
  • The technique simplifies the process, making SLDV accessible for inspectors without specialized Lamb wave knowledge.
  • This advancement enhances nondestructive evaluation capabilities for plate structures.