Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/2888
Title: Stochastic fatigue crack growth in steel structures subjected to random loading
Authors: Johns Hopkins University. Department of Civil Engineering.
Computer-Aided Structural Engineering Project (U.S.)
U.S. Army Engineer Waterways Experiment Station
Zheng, Ruohua.
Ellingwood, Bruce R.
Keywords: Broad-band stress
Crack growth
Fatigue
Flow detector
Rainflow method
Random loads
Random noise
Steel structures
Stochastic methods
Stress identification
Time-dependent
Uncertainty
Fracture mechanics
Stress corrosion
Structural analysis
Publisher: Information Technology Laboratory (U.S.)
Series/Report no.: Contract Report (U.S. Army Engineer Waterways Experiment Station) ; ITL-98-1
Abstract: Fatigue crack growth can be a significant problem in steel structures that are subjected to a large number of repeated load cycles during their service lives. Uncertainty in fatigue behavior arises from the random nature of the service load, environmental conditions, material properties and other factors. Stochastic approaches to model this uncertainty can lead to improved fatigue-resistant design or in-service inspection and maintenance policies. This report generalizes the stochastic model of uncertainty in crack growth under constant amplitude loading by introducing a random noise process with arbitrary (generally non-Gaussian) marginal distribution and correlation structure. A computationally efficient method based on the rainflow method of stress identification is proposed for handling broad-band stress processes in analyzing stochastic crack propagation. The impact of uncertainty in flaw detection and measurement capabilities on in-service structural condition assessment and reliability-based service life prediction also is investigated. The proposed method is applied in a time-dependent reliability analysis of a steel miter gate at the Emsworth Lock and Dam that suffered severe deterioration from corrosion-fatigue. The predicted fatigue behavior is consistent with observations of damage over a sixty-year service life, providing some confirmation of the use of stochastic fatigue analysis in structural condition assessment and service life prediction. NOTE: This file is large. Allow your browser several minutes to download the file.
Description: Contract Report
Gov't Doc #: Contract Report ITL-98-1
URI: http://hdl.handle.net/11681/2888
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