Skip to main content
Article
Fatigue Crack Monitoring under High-cycle Fatigue Loading Using Large-area Soft Elastomeric Capacitive Sensor
Review of Progress in Quantitative Nondestructive Evaluation
  • Jian Li, University of Kansas
  • Xiangxiong Kong, University of Kansas
  • William Collins, University of Kansas
  • Caroline Bennett, University of Kansas
  • Simon Laflamme, Iowa State University
Start Date
2016 12:00 AM
Description
Fatigue cracks under high-cycle fatigue loading due to normal traffic are one of the major damage modes of steel bridges. Monitoring these cracks is of great importance especially for fracture-critical bridges in order to ensure safe operation by preventing catastrophic failure due to excessive damage. A newly developed soft elastomeric capacitive (SEC) sensor [1] is able to monitor strain changes over a large area of structural surface and resist large deformation due to cracking without being damaged. To examine the feasibility of monitoring fatigue cracks under high-cycle fatigue loading using the SEC sensor, a compact tension specimen is tested under cyclic tension loads with varying load ranges (Fig. 1), which are designed to ensure realistic stress level, hence the size of crack opening, one would see in real bridges. The measured capacitance time history from the SEC sensor is converted into power spectral densities (PSD), such that the amplitude of the signal can be extracted at the dominant loading frequency. A crack damage indicator is proposed as the ratio between the amplitude of PSD and load range. Results show that the crack damage indicator offers consistent indication of crack growth (Fig. 2). A network of SEC sensors will be designed accordingly to monitor crack propagation in steel bridges based on the proposed crack damage indicator.
Language
en
File Format
application/pdf
Citation Information
Jian Li, Xiangxiong Kong, William Collins, Caroline Bennett, et al.. "Fatigue Crack Monitoring under High-cycle Fatigue Loading Using Large-area Soft Elastomeric Capacitive Sensor" (2016)
Available at: http://works.bepress.com/simon_laflamme/22/