Lab

Probabilistic Physics of Failure and Fracture Mechanics Lab

Research Topics:

MTS Uniaxial Fatigue Testing Machines

  • Two-post and Four-post machines rating at ±100kN in tension or compression under static and cyclic conditions.
  • Fatigue Life Assessment Based on Energy Release
  • Fatigue Crack Initiation Based on Entropy Generation

Optical Microscopy for Short Fatigue Crack

  • 25 to 10X Microscope with C-mount adaptor for the video port. Simultaneous visual and video viewing.
  • Short crack detection in fatigue
  • Visualization of crack growth

Acoustic Emission Technique for Crack Initiation and Growth

  • Sensors and amplifiers to collect and amplify the signals.
  • Data acquisition module to perform front-end filtration and record the signals
  • Software module to visualize the data and to perform the required analysis such as feature extraction and source location
  • Assessment of crack initiation
  • Large crack growth modeling
  • Information entropy analysis of AE signals for crack initiation
  • Thermodynamic entropy and information (Shannon) entropy as measures of damage in materials
  • Acoustic emission signal analysis for extracting features sensitive to damage
  • Acoustic emission features as precursors of damage
  • Parametric approach and histogram-based approach to estimation of the acoustic entropy

Heating Chamber for Creep Testing

  • Exposure of specimen under controlled heat up to 700oC
  • Probabilistic modeling of creep
  • Fatigue-creep testing capability

Corrosive Medium Chamber

  • Probabilistic corrosion-Fatigue model development in piping.
  • Probabilistic pitting corrosion in pipes
  • Probabilistic stress corrosion in piping
  • Environmental testing chamber with elevated temperature and salt spray to accelerate degradation
  • Advanced condition monitoring system to monitor diverse key performance indicators (i.e., temperature, flow rate, differential pressure, and conductivity).
  • Vibration Monitoring and Acoustic Emission Monitoring systems to diagnose machine failures, continuously track health degradation, and predict remaining useful life of rotating machinery