Detection of Damage Precursors in Steel Components for Life-Cycle Assessments

Details

• Creators:
  Hassiotis, Sophia ; Donskoy, Dimitri
• Corporate Creators:
  Stevens Institute of Technology
• Contributors:
  Rutner, Marcus ; Goldyani, Majid Ramezani ; Golchinfar, Behnoush
• Corporate Contributors:
  New Jersey. Dept. of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Acoustics
  • Detection and identification
  • Evaluation and assessment
  • Fatigue (Mechanics)
  • Fracture mechanics
  • Life cycle analysis
  • Steel
  • Vibration
  • Loss and damage
  • Vibro-Acoustic Modulation
• Publication/ Report Number:
  FHWA-NJ-2019-010
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Submission October, 2019
• Contracting Officer:
  Venkiteela, Giri
• Corporate Publisher:
  New Jersey. Dept. of Transportation
• Abstract:
  The early identification of damage of fracture-critical members is of the outmost importance in the maintenance of a safe bridge infrastructure. A new Non-Destructive Evaluation method that gives an early warning of accumulating damage is been formulated herein. The Vibro-Acoustic Modulation method utilizes nonlinear interactions of a high frequency ultrasonic wave with a low frequency modulating vibration in the presence of various flaws such as fatigue and stress-corrosion cracks. The growth of a flaw in time is correlated with with an increase in a parameter called the Modulation Index which is defined in the spectral domain as the ratio of the side-band spectral components formed at frequencies around the amplitude of the carrier. The new method is shown capable of detecting damage in simple during cyclic loading. An experimental set-up has been fabricated that can be taken to the field for farther developments of the new NDE method.
• Format:
  PDF
• Funding:
  2016-09
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/54866/dot_54866_DS1.pdf
• File Type:
  [PDF - 3.48 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:b69cf853b4640c6f70ced469180e3fabc4717fdc832473167f3093d768c36bea