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The presentation is #4 of the lecture series within the CE5390 NDT&E Course at the “University of Texas at El Paso”, USA (UTEP):
1. Application of NDT to Transportation Infrastructure
2. Application of NDT to Pavements
3. Application of NDT to Tunnels
4. Application of NDT to Nuclear Structures
5. Ultrasonic Methods
6. Electrical Resistivity (ER)
7. Galvanostatic Pulse Measurement (GPM)
8. Half-Cell Potential (HCP)
9. Ground Penetrating Radar (GPR) to Infrastructure
10. Ground Penetrating Radar (GPR) to Pavements
11. Impact Echo (IE)/Ultrasonic Surface Waves (USW)
12. Infrared Thermography (IR)
13. Magnetic Flux Leakage (MFL)
14. Ultrasonic Tomography (UST)
15. Falling Weight Deflectometer/Light Weight Deflectometer
16. Spectral Analysis of Surface Wave
17. Traffic Speed Deflectometer
18. Integrity of Foundations
19. Integration of Technologies
Applications of NDT for nuclear structures are presented with an overview over the special challenges for NDE in this area.
The lecture was held as a webinar on August 29, 2017
Measuring means knowing. The structural engineer’s Knowledge about structures is vitally important for the assessment of their structural safety. This contribution shows, how non-destructive testing methods can be used to collect valuable Information about existing structures. This value is expressed in this paper by the usability in probabilistic assessments and thus by the reliability of the information. The development of non-destructive testing methods in civil-engineering allows the realistic measurement and visualization of inner constructions of concrete components with a minimum of destructive interventions.
The evaluation of the quality of measurement data is of fundamental importance for quantitative measurements in order to ensure the objectivity of testing and evaluation and to assess the reliability of the knowledge acquired. Both systematic and random deviations must be identified, quantified and taken into account to obtain statistically sound data. The Focus of this contribution is on the methodical path, how displayed measurement data can be processed into reliable knowledge.
It is not about developing assessment methods but about providing
necessary knowledge to increase their operational usability.