Grain-scale plasticity based fatigue model to estimate fatigue life of bridge connections

Siriwardane, Sudath C.; Ohga, Mitao; Kaita, Tatsumasa; Dissanayake, Ranjith

doi:10.1016/j.jcsr.2009.05.002

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…In favor of verification, the models predicted behavior is compared with previously proposed models and the experimental behavior of two materials 316L stainless steel [18] and wrought iron [23] under both uniaxial monotonic and cyclic loading cases. The modified in-house FEM code is used to simulate the uniaxial tensile loading and the mean stress zero cyclic loading behaviors as shown in Figs.…”

Section: Verification Of Proposed Hardening Modelmentioning

confidence: 99%

A simplified approach to predict the failure of steel members under interaction effect of fracture and fatigue

Adasooriya¹,

Siriwardane²,

Ohga³

2013

International Journal of Fatigue

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Section: Verification Of Proposed Hardening Modelmentioning

confidence: 99%

A simplified approach to predict the failure of steel members under interaction effect of fracture and fatigue

Adasooriya¹,

Siriwardane²,

Ohga³

2013

International Journal of Fatigue

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“…Siriwardane et al 24 applied that rule to estimate the remaining fatigue life of railway bridges, and a significant deviation was reported between predicted and in‐service lives. Thus, they developed 25 a similar rule using a plastic meso‐strain as the damage indicator instead. Other models applied the concept of iso‐damage curves in a nonlinear damage model utilizing the material full S / N curve to analyze fatigue lifetime under VL 26 .…”

Section: Introductionmentioning

confidence: 99%

Cracking simulation‐based cumulative fatigue damage assessment

Farag

El‐Kady

Hammouda

2021

Fatigue Fract Eng Mat Struct

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The present work is an extension of a previously developed fracture mechanics cracking damage model and highlights the ability of that model to predict the fatigue lifetime of un‐notched round specimens made of a ferrite–pearlite 0.4C‐70/30 carbon steel in the cases of (a) two‐step fully reversed axial loading with low‐to‐high and high‐to‐low sequences and (b) repeated application of fully reversed two‐step axial loading blocks. This model numerically simulates the collective behavior of growing short fatigue cracks originating from the specimen surface. The surface roughness is assumed to resemble microcracks of different sizes and locations along the minimum specimen circumference. Material grains of different phases, sizes, and strengths are randomly distributed over that circumference. Possible activities of surface cracks are predicted against loading cycles till a fracture occurs. Published experimental data on ferritic‐pearlitic steel specimens in fully reversed variable amplitude loading are utilized. Different specimen tests are randomly configured and simulated. The present predictions are in fair agreement with the corresponding experimental results.

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“…Mesmacque et al [42] developed a damage rule which utilized only the full S-N curve of the material and the von Mises stress as a damage indicator. Siriwardane et al [43] applied that rule to estimate the remaining fatigue life of railway bridges and a significant deviation was reported between predicted and in-service lives and, thus, they developed [44] a similar rule using the plastic meso-strain as the damage indicator instead. Other models applied the concept of iso-damage curves in a nonlinear damage model utilizing the material full S/N curve to analyze fatigue lifetime under VL [27,45].…”

mentioning

confidence: 99%

Fatigue Life Prediction of Un-Notched Round Specimens Based on Cracking Simulation

Farag

El‐Kady

Hammouda

2020

Journal of Al-Azhar University Engineering Sector

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This work presents a cracking damage model to assess fatigue lives of un-notched round specimens in axial stresses due to constant and variable amplitude loading. The model numerically simulates collective behavior of growing short fatigue surface cracks originating from the surface roughness of specimens made of a two-phase alloy. The specimen roughness is assumed resembling micro cracks of different sizes and locations along the minimum specimen circumference. Material grains of different phases, sizes and strengths are randomly distributed over that circumference. To verify the model, this work utilized published experimental data on round specimens made of ferritic-pearlitic steel and tested in push-pull constant and variable amplitude loading with (a) two-step high-low and low-high sequences, (b) repeated two-step loading blocks. To simulate laboratory testing, different specimens were randomly configured and virtually tested. Comparison of the experimental results and corresponding predictions shows the validity of the model.

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Grain-scale plasticity based fatigue model to estimate fatigue life of bridge connections

Cited by 11 publications

References 13 publications

A simplified approach to predict the failure of steel members under interaction effect of fracture and fatigue

A simplified approach to predict the failure of steel members under interaction effect of fracture and fatigue

Cracking simulation‐based cumulative fatigue damage assessment

Fatigue Life Prediction of Un-Notched Round Specimens Based on Cracking Simulation

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