Member-level Redundancy in Built-up Steel Members

The objective of this research is to quantify the redundancy possessed by built-up steel members (bolted or riveted). Typically, built-up members will not 'fail' if one of the components fails (whether through fatigue or fracture). However, there is very little experimental data quantifying the remaining fatigue life and strength of a member in which one of the components has failed.
  • Member-level Redundancy in Built-up Steel Members
  • 2018-03-05T14:40:57.959154-04:56
  • 2018-03-05T14:40:57.959154-04:56
  • The objective of this research is to quantify the redundancy possessed by built-up steel members (bolted or riveted). Typically, built-up members will not 'fail' if one of the components fails (whether through fatigue or fracture). However, there is very little experimental data quantifying the remaining fatigue life and strength of a member in which one of the components has failed.
Event Date: March 05, 2018
Time: 2:40-2:40pm
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The objective of this research is to quantify the redundancy possessed by built-up steel members (bolted or riveted). Typically, built-up members will not 'fail' if one of the components fails (whether through fatigue or fracture). However, there is very little experimental data quantifying the remaining fatigue life and strength of a member in which one of the components has failed.

Furthermore, if built-up members are located in bridges classified as fracture critical, evidence of sufficient member redundancy may allow the bridge to be reclassified as non-fracture critical. Reclassification would release these members from the more rigorous arms-length inspection currently required. More rational inspection intervals for these members will then be permissible. These intervals will be addressed through the outcomes of this research.

Sponsors: Transportation Pooled Fund (Federal Highway Administration, Indiana DOT, Iowa DOT, Minnesota DOT, New York DOT, Oregon DOT, Wisconsin DOT, Wyoming DOT, US Army Corps of Engineers)

Faculty Investigator: Robert Connor

Graduate Student: Matt Hebdon