Steel bridge retrofit evaluation

David W. Prine

doi:10.1117/12.300116

31 March 1998 Steel bridge retrofit evaluation

David W. Prine

Proceedings Volume 3400, Structural Materials Technology III: An NDT Conference; (1998) https://doi.org/10.1117/12.300116
Event: Non-Destructive Evaluation Techniques for Aging Infrastructure and Manufacturing, 1998, San Antonio, TX, United States

Abstract

The development of a retrofit design aimed at retarding or eliminating fatigue crack growth in a large bridge can be a very difficult and expensive procedure. Analytical techniques frequently do not provide sufficient accuracy when applied to complex structural details. The Infrastructure Technology Institute (ITI) of Northwestern University, under contract to the California Department of Transportation (Caltrans), recently applied experimental state-of-the-art NDE technology to the Interstate 80 bridge over the Sacramento River near Sacramento, California (Bryte Bend). Acoustic emission monitoring was applied in conjunction with strain gage monitoring to aid in characterizing the retrofits' effect on existing active fatigue cracks. The combined test results clearly showed that one retrofit design was superior to the other.

Citation Download Citation

David W. Prine "Steel bridge retrofit evaluation", Proc. SPIE 3400, Structural Materials Technology III: An NDT Conference, (31 March 1998); https://doi.org/10.1117/12.300116

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available