Portofolio of Applications of Computational Methods in NDE:
NDE Modeling
The main objective of the talk is to highlight the value of NDT modeling, through past and recent aerospace applications. As well, ‘The Ten Laws of NDT Modeling’ are introduced, encouraging certain best-practices and emphasizing the experiences of the author over the past two decades.
NDE Assisted Data Analysis (ADA)
While an increasing use of automation and algorithms in NDT is expected over time, NDT inspectors will still play a critical role in ensuring NDT 4.0 reliability. As a counterpoint to recent advances in artificial intelligence (AI), intelligence augmentation (IA) refers to the effective use of information technology to enhance human performance. This paper introduces a series of best practices to support NDT 4.0 initiatives.
Inverse Method in NDE
Developed foundational work and published text of application of model-based inversion for eddy current NDE with Victor Technologies LLC.
NDE and SHM Reliability Assessment and Model-assisted Probably of Detection (MAPOD) Evaluation
Computational Tools Has Focused on NDT Technology Transition
From Research to the Applications Community:
Past / Current Customers and Partners Include:
USAF/AFRL, SAIC, NASA, UTC / Arctos, UDRI, UES, TRI Austin, Victor Technologies, Iowa State University,
Mistras, KBR(wyle), Vibrant, Southern Research / Kratos, Orbital Transports, MRL, David Ress and BP