Fatigue Failure Predictions for Complicated Stress-Strain Histories

Dowling, N. E.

doi:10.21236/ad0736583

Cited by 239 publications

(158 citation statements)

References 3 publications

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“…In the stress range histogram, stress range values below 2 MPa are not considered due to their low effect on fatigue damage of the bridge. The equivalent stress range, ∆σ e (Dowling, 1971), is computed using equation (12),…”

Section: Computation Of Equivalent Stress Range and Remaining Fatiguementioning

confidence: 99%

Comparing Structural Identification Methodologies for Fatigue Life Prediction of a Highway Bridge

Pai

Nussbaumer

Smith

2018

Front. Built Environ.

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Accurate measurement-data interpretation leads to increased understanding of structural behavior and enhanced asset-management decision making. In this paper, four datainterpretation methodologies, residual minimization, traditional Bayesian model updating, modified Bayesian model updating (with an L -norm-based Gaussian likelihood func-∞ tion), and error-domain model falsification (EDMF), a method that rejects models that have unlikely differences between predictions and measurements, are compared. In the modified Bayesian model updating methodology, a correction is used in the likelihood function to account for the effect of a finite number of measurements on posterior probability-density functions. The application of these data-interpretation methodologies for condition assessment and fatigue life prediction is illustrated on a highway steel-concrete composite bridge having four spans with a total length of 219 m. A detailed 3D finite-element plate and beam model of the bridge and weigh-in-motion data are used to obtain the time-stress response at a fatigue critical location along the bridge span. The time-stress response, presented as a histogram, is compared to measured strain responses either to update prior knowledge of model parameters using residual minimization and Bayesian methodologies or to obtain candidate model instances using the EDMF methodology. It is concluded that the EDMF and modified Bayesian model updating methodologies provide robust prediction of fatigue life compared with residual minimization and traditional Bayesian model updating in the presence of correlated nonGaussian uncertainty. EDMF has additional advantages due to ease of understanding and applicability for practicing engineers, thus enabling incremental asset-management decision making over long service lives. Finally, parallel implementations of EDMF using grid sampling have lower computations times than implementations using adaptive sampling.

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Section: Computation Of Equivalent Stress Range and Remaining Fatiguementioning

confidence: 99%

Comparing Structural Identification Methodologies for Fatigue Life Prediction of a Highway Bridge

Pai

Nussbaumer

Smith

2018

Front. Built Environ.

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“…At low temperatures, where there is little effect of creep (i.e., the effect of time), the linear damage rule using the cycle ratio as a measure of fatigue damage is known to successfully predict fatigue life (Refs. 7,8).…”

Section: Methods Of Analysismentioning

confidence: 99%

Analysis of hold time fatigue test results of AISI 304 stainless steel by five existing methods

Kobayashi¹,

Weeks²

1974

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Selected high-temperature fatigue data for AISI 304 stainless steel are analysed using the linear creep-fatigue damage rules, the frequency modified parameter method,and the method given in ASME Code Case 1331-5.The capability of each method to predict fatigue lives obtained under known testing conditions is discussed.The method of the ASME Code case which includes large safety factors, was found to be conservative. If, however, the method is used at 1050°F for cycles with long hold times, the safety factor of the resultant design may be significantly smaller than desired. The other four methods examined predicted the majority of the experimental fatigue lives within a factor of two. The linear creep-fatigue damage rule using a time ratio for creep damage appears to be superior to the others.

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“…Among these, cycle counting methods such as the rainflow or the range pair methods [18] are suitable for strain histories where there are only few reversals to failure.…”

Section: Modeling Of Low Cycle Fatigue For Reinforced Concretementioning

confidence: 99%

A fatigue damage model for seismic response of RC structures

Perera

Carnicero

Alarcón

et al. 2000

Computers & Structures

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Numerous damage models have been developed in order to analyze seismic behavior. Among the different possibilities existing in the literature, it is very clear that models developed along the lines of continuum damage mechanics are more consistent with the definition of damage as a phenomenon with mechanical consequences because they include explicitly the coupling between damage and mechanical behavior. On the other hand, for seismic processes, phenomena such as low cycle fatigue may have a pronounced effect on the overall behavior of the frames and, therefore, its consideration turns out to be very important. However, most of existing models evaluate the damage only as a function of the maximum amplitude of cyclic deformation without considering the number of cycles. In this paper, a generalization of the simplified model proposed by Cipollina et al. [Cipollina A, Lopez-Hinojosa A, Florez-Lopez J. Comput Struct 1995;54:1113-26] is made in order to include the low cycle fatigue. Such a model employs in its formulation irreversible thermodynamics and internal state variable theory.

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Fatigue Failure Predictions for Complicated Stress-Strain Histories

Cited by 239 publications

References 3 publications

Comparing Structural Identification Methodologies for Fatigue Life Prediction of a Highway Bridge

Comparing Structural Identification Methodologies for Fatigue Life Prediction of a Highway Bridge

Analysis of hold time fatigue test results of AISI 304 stainless steel by five existing methods

A fatigue damage model for seismic response of RC structures

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