NONDESTRUCTIVE EVALUATION
Practical aspects of nondestructive evaluation (NDE) techniques for identifying physical properties and damage within civil and geologic materials and structures. Data analyses and data science for wave propagation, arrival picking, distributed fiber optic sensing, and visualization tools such as augmented/mixed/virtual reality.
Prerequisites & course information
Requisites: E M A 201 , PHYSICS 201 , 207 , or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2025 Learning Outcomes: 1. Describe multiple nondestructive evaluation (NDE) testing methods and their applications Audience: Both Grad & Undergrad 2. Characterize flaws within Civil and Geological Engineering materials Audience: Both Grad & Undergrad 3. Determine source locations of flaws or damage within a structure based on NDE data Audience: Both Grad & Undergrad 4. Characterize both active and passive elastic wave observations in rock Audience: Both Grad & Undergrad 5. Apply seismological principles to observed acoustic emissions for determining source locations of microcracks and infer the mechanism of failure Audience: Both Grad & Undergrad 6. Analyze fiber optic distributed acoustic sensing (DAS) to find earthquake events within timeseries data Audience: Both Grad & Undergrad 7. Apply artificial intelligence techniques to analyze fiber optic sensing data Audience: Graduate Learning Outcomes: 1. Describe multiple nondestructive evaluation (NDE) testing methods and their applications Audience: Both Grad & Undergrad 2. Characterize flaws within Civil and Geological Engineering materials Audience: Both Grad & Undergrad 3. Determine source locations of flaws or damage within a structure based on NDE data Audience: Both Grad & Undergrad 4. Characterize both active and passive elastic wave observations in rock Audience: Both Grad & Undergrad 5. Apply seismological principles to observed acoustic emissions for determining source locations of microcracks and infer the mechanism of failure Audience: Both Grad & Undergrad 6. Analyze fiber optic distributed acoustic sensing (DAS) to find earthquake events within timeseries data Audience: Both Grad & Undergrad 7. Apply artificial intelligence techniques to analyze fiber optic sensing data Audience: Graduate
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- NONDESTRUCTIVE EVALUATION · 3 credits.