Effect of loading sequences on fatigue crack growth and crack closure in API X65 steel

Mansor, N.I.I.; Abdullah, Shahrum; Ariffin, Ahmad Kamal

doi:10.1016/j.marstruc.2019.01.007

Cited by 22 publications

(13 citation statements)

References 37 publications

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“…Depending on the study objective, a more complex fracture mechanics model can be employed, e.g. the models taking loading characteristics and sequence into account (Mansor, Abdullah, and Ariffin 2019). However, when a complex fracture mechanics model is integrated with a probabilistic optimization framework, computational costs increases dramatically and it would be computationally difficult to derive an optimal inspection & maintenance strategy.…”

Section: Discussionmentioning

confidence: 99%

Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches

et al. 2021

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Fatigue cracks increase structural failure risk and timely maintenance is very important. Maintenance planning is often formulated as a probabilistic optimization problem, considering uncertainties in structural and load modelling, material properties, damage measurements, etc. A decision rule or strategy, e.g. condition based maintenance (CBM), needs to be set up, and then an optimal maintenance criterion or threshold is derived via solving the optimization problem. This paper develops a probabilistic maintenance optimization approach exploiting value of information (VoI) and Bayesian decision optimization. The VoI based approach explicitly quantifies added values from future inspections, and gives an optimal decision (or strategy) by direct modelling decision alternatives and evaluating their expected outcomes, rather than a pre-defined strategy. A comparative study on VoI, life cycle cost (LCC) and reliability based optimization approaches is conducted. It is shown that the VoI based approach takes all available maintenance strategies into account (both with and without inspections), and can reliably yield optimal maintenance strategies, whether the VoI is larger than or equal to zero. When the VoI is equal to zero, LCC and reliability based CBM optimization can result in suboptimal maintenance strategies. The differences in the approaches are illustrated on fatiguesensitive components in a marine structure.

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Section: Discussionmentioning

confidence: 99%

Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches

et al. 2021

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“…The FCG tests were performed according to ASTM E647 procedures by utilising a servo-hydraulic universal test with a 100-kN capacity load cell. All experiments were conducted in an ambient setting with a load ratio R = 0.1 and loading frequency of 10 Hz sinusoidal waveform [ 47 , 48 , 49 ]. Three additional experimental tests were executed to represent the three types of loading.…”

Section: Methodsmentioning

confidence: 99%

Prediction of Fatigue Crack Growth Rate Based on Entropy Generation

Idris

Abdullah

Thamburaja

et al. 2019

Entropy

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This paper presents the assessment of fatigue crack growth rate for dual-phase steel under spectrum loading based on entropy generation. According to the second law of thermodynamics, fatigue crack growth is related to entropy gain because of its irreversibility. In this work, the temperature evolution and crack length were simultaneously measured during fatigue crack growth tests until failure to ensure the validity of the assessment. Results indicated a significant correlation between fatigue crack growth rate and entropy. This relationship is the basis in developing a model that can determine the characteristics of fatigue crack growth rates, particularly under spectrum loading. Predictive results showed that the proposed model can accurately predict the fatigue crack growth rate under spectrum loading in all cases. The root mean square error in all cases is 10−7 m/cycle. In conclusion, entropy generation can accurately predict the fatigue crack growth rate of dual-phase steels under spectrum loading.

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“…The experimental tests are performed with the tool steel AISI/SAE 1045. Mansor et al 26 presents a predictive model for fatigue crack growth under loading sequences. The applicability of the crack closure model was studied to predict the fatigue life span resulting from the continuous effect of loading blocks.…”

Section: Introductionmentioning

confidence: 99%

Improved numerical model for fatigue cumulative damage of mechanical structure considering load sequence and interaction

Huang

Wang

Geng

et al. 2021

Advances in Mechanical Engineering

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To more accurately predict the fatigue life of components under the action of random loads, it is necessary to explore the influence of the interaction between the load sequence and the load on the life prediction. Based on the Manson-Halford method and Corten-Dolan model, this paper establishes a fatigue cumulative damage model that takes into account both the load order and the interaction between loads, and also takes into account the loads near the fatigue limit. The fatigue life of mechanical parts under random load can be calculated through this model, which provides a theoretical basis for life prediction under random load spectrum. The fatigue life of mechanical parts under random load can be calculated through this model, which provides a theoretical basis for life prediction under random load spectrum. Comparing the calculation results of the proposed model with the results of Palmgren Miner, Manson-Halford method, and Corten-Dolan model, it is found that the fatigue damage model established can reasonably predict the fatigue life of parts. Comparison and verification of examples further prove the accuracy and reliability of the proposed model.

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Effect of loading sequences on fatigue crack growth and crack closure in API X65 steel

Cited by 22 publications

References 37 publications

Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches

Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches

Prediction of Fatigue Crack Growth Rate Based on Entropy Generation

Improved numerical model for fatigue cumulative damage of mechanical structure considering load sequence and interaction

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