Research

SYSTEM LIFE-CYCLE MANAGEMENT

Throughout the design, manufacturing, operation and disposal of complex systems, engineers need sensing technology to probe how a system evolves through different stages in the life cycle.  Therefore, while testing the properties of new materials is an essential step in the design of higher performance systems, periodic inspections or even continuous monitoring become critical during manufacture - for quality control purposes - and through operation to avoid system malfunctions or failure.  Systems employing hazardous materials may require monitoring after disposal to prevent environmental contamination as in the case of decommissioned nuclear plants or oil rigs. 

The research activity at SCALE is aimed at developing next-generation sensing technologies with applications in industry and health care. The focus is on complex systems where mutiscale physical phenomena make the observation of targeted system properties challenging.  Our approach is to deliver integrated  hardware and software solutions through a thorough physical understanding of how complex systems behave.  At SCALE we achieve this through a combination of  basic and applied research. Basic research builds on the synergy between theoretical and numerical modeling of multiscale systems, and extensive experimental observations.  At the applied end of the spectrum, we translate the basic research into working prototype sensors.

KEY EXPERIMENTAL RESEARCH AREAS

  • Material Characterization
  • Structural Health Monitoring
  • Nondestructive Evaluation
  • Electromagnetic Sensing
  • Ultrasonics – linear and nonlinear
  • Ultrasonic Imaging
  • Guided waves (ultrasound and microwaves)
  • Fatigue Testing
  • Creep Testing

MAIN THEORETICAL AND COMPUTATIONAL RESEARCH FIELDS

  • Inverse problems
  • Wave propagation and scattering
  • Image formation
  • Signal processing
  • Computational Mechanics
  • Numerical Analysis
  • Advanced Finite Element Method
  • Mesh Free Techniques
  • Nano-scale Computation
  • Micro bio-system computation