Predicting Fatigue Lifetime from Strain Histograms in an Abbreviated Time Window

Metzger, Andrew T.; Huckelbridge, Arthur; Case Western Reserve University. Dept. of Civil Engineering

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Predicting Fatigue Lifetime from Strain Histograms in an Abbreviated Time Window

2006-12-01
By Metzger, Andrew T. ; Huckelbridge, Arthur

[PDF-1.83 MB]

English

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Creators:

Metzger, Andrew T. ; Huckelbridge, Arthur

Metzger, Andrew T. ; Huckelbridge, Arthur Less -
Corporate Creators:

Case Western Reserve University. Dept. of Civil Engineering
Corporate Contributors:

Ohio. Dept. of Transportation ; United States. Federal Highway Administration

Ohio. Dept. of Transportation ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Fatigue Cracking Histograms Steel Bridges Structural Health Monitoring
Publication/ Report Number:

FHWA/OH-2006-26
Resource Type:

Tech Report
Geographical Coverage:

Ohio ; United States

Ohio ; United States Less -
TRIS Online Accession Number:

1051574
Corporate Publisher:

Ohio. Dept. of Transportation. Office of Research and Development
Abstract:

This work presents the development of a methodology for estimating the year in which AASHTO-prescribed fatigue lifetime expectations will be reached for a structural detail on a steel highway bridge. The methodology is based upon a year-round strain monitoring program of an ensemble of 24 bridge structures, located on Ohio highways of 8 different functional classes. The data from the strain monitoring program was processed into a normalized temporal representation of the expected accumulation of fatigue damage for the 8 different highway functional classes studied. An algorithm is presented to estimate the annual damage for a particular detail from a site-specific strain histogram, collected over an abbreviated time window. The extrapolation of the short-term histogram to an annual fatigue damage estimate is carried out utilizing the normalized temporal damage accumulation model for the appropriate highway functional class. Sample statistics and probability theory are used to construct confidence intervals associated with the estimate of annual damage. Projected growth rates of traffic volume and/or truck weights can be readily incorporated into the lifetime projection.
Format:

PDF
Funding:

134188
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:989f42cd03ec989c038b0a07fca13661d1a56fdb4597a162bdfd397955aeb347
Download URL:

https://rosap.ntl.bts.gov/view/dot/39314/dot_39314_DS1.pdf
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Predicting Fatigue Lifetime from Strain Histograms in an Abbreviated Time Window

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