Researches on the Fatigue Crack Propagation of Pipeline Steel

Yu-rong, Jiang; Chen, Meibao

doi:10.1016/j.egypro.2011.12.969

Cited by 11 publications

(6 citation statements)

References 6 publications

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“…Following the popular stress life (S-N curve) proposed by Wöhler et al [56], existing studies considered local strain and crack propagation [57]. Meneghetti et al [58] found that heat dissipation per unit volume per cycle (Qcyc) could be used as a damage parameter in the study of the failure criterion of machinery from the perspective of heat transfer.…”

Section: Research Progress On Defect Diagnosismentioning

confidence: 99%

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Cai

Cui

Qin

et al. 2020

Entropy

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Understanding the defect characterization of electronic and mechanical components is a crucial step in diagnosing component lifetime. Technologies for determining reliability, such as thermal modeling, cohesion modeling, statistical distribution, and entropy generation analysis, have been developed widely. Defect analysis based on the irreversibility entropy generation methodology is favorable for electronic and mechanical components because the second law of thermodynamics plays a unique role in the analysis of various damage assessment problems encountered in the engineering field. In recent years, numerical and theoretical studies involving entropy generation methodologies have been carried out to predict and diagnose the lifetime of electronic and mechanical components. This work aimed to review previous defect analysis studies that used entropy generation methodologies for electronic and mechanical components. The methodologies are classified into two categories, namely, damage analysis for electronic devices and defect diagnosis for mechanical components. Entropy generation formulations are also divided into two detailed derivations and are summarized and discussed by combining their applications. This work is expected to clarify the relationship among entropy generation methodologies, and benefit the research and development of reliable engineering components.

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Section: Research Progress On Defect Diagnosismentioning

confidence: 99%

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Cai

Cui

Qin

et al. 2020

Entropy

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“…The empirical relationship was derived for fracture risk assessment of defect pipelines. Combination parameters,such as local hydrogen concentration near the crack tip and hydrogen concentration in the bulk of the metal were consideredto model the da/dn-∆ curve.In other work, by Jiang and Chen [26], fatigue crack propagation of X70 pipeline steel significantly depended on the ∆ value. It was found that mechanical damage and synthetic soil solution enhanced the fatigue crack propagation rate andlowered the threshold stress intensity factor range.…”

Section: = ∆mentioning

confidence: 99%

“…The characterization of fatigue properties can be attained through S-N, ε-N, and da/dn-∆Kcurves. The concept of the S-N curve was put forward by August Wöhler in the 1860s [29], while the notion of ε-N was pioneered by Louis Coffin and Stanford Manson [14], [17] and Paul Paris popularized the rule of da/dn-∆K [26], [30]. HCF was normally carried out to present a safe-life (i.e., stress-based) curve; where plastic deformation does not play a major role [31].…”

Section: Overview Of Fatigue Life Assessmentmentioning

confidence: 99%

“…Strains may culminate in cracks or complete fractures after a number of cycles [2]. In the case of offshore pipelines, mechanical damage, such as fatigue [12], corrosion [24], dents [25] and gouges [26], depress their service life. Chronological failure begins with mechanical defects, which promotes the local stress concentration that leads to local stress exceeding yield strength, and finally degrades the load capacity.…”

Section: Overview Of Fatigue Life Assessmentmentioning

confidence: 99%

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The Effect of Dent Under Fatigue Loading in Pressurized Pipeline: A Review

2015

IJAERD

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“…The FCG in steel is a complex process with irreversible changes at micro, meso and macrolevels. Other classical approaches in determining the FCG rate are highly empirical in nature [ 6 , 7 ]. On the one hand, an empirical model simply describes a data but does not derive from physical principles.…”

Section: Introductionmentioning

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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Researches on the Fatigue Crack Propagation of Pipeline Steel

Cited by 11 publications

References 6 publications

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

Entropy Generation Methodology for Defect Analysis of Electronic and Mechanical Components—A Review

The Effect of Dent Under Fatigue Loading in Pressurized Pipeline: A Review

Prediction of Fatigue Crack Growth Rate Based on Entropy Generation

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