Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics approach

Gu, Hang-Hang; Wang, Run-Zi; Tang, Minjin; Zhang, Xiancheng; Tu, Shan‐Tung

doi:10.1016/j.ijfatigue.2022.107481

Cited by 17 publications

(4 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the Physics-of-Failure (PoF) theory, Mulenga et al (2022) [113] presented a methodology for forecasting the emergence of a fracture in corroded structures. Gu et al (2023) [114] introduced a new framework for creep-fatigue reliability assessment of hightemperature components, in which the engineering damage mechanics technique is used to integrate the physics of failure and monitoring data into the natural degradation process.…”

Section: Physics Of Failure (Pof)mentioning

confidence: 99%

A review of reliability techniques for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

View full text Add to dashboard Cite

PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and this article methodically looks at them all. The evaluation classified PLC reliability techniques into Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), Hazard analysis (HA), Reliability block diagram (RBD), Fault tree analysis (FTA), Physics of failure (PoF) and FMEA/FMECA, after thoroughly reviewing the body of literature. The proportion of reviewed papers using either RCA, RCM, FMEA/FMECA, FTA, RBD, RCM, PoF, or Hazard analysis to increase the reliability of PLCs showed that RCA, which makes up 20% of the publications reviewed, has been used the most to increase the reliability of the PLC, followed by HA, RCM, RBD, FTA, and PoF, which account for 17%, 16%, 16%,13%, 10%, and 8% of the articles reviewed, respectively. The paper discusses new developments and trends in PLC reliability, such as the application of machine learning (ML) and artificial intelligence (AI) to fault detection and predictive maintenance.

show abstract

Section: Physics Of Failure (Pof)mentioning

confidence: 99%

A review of reliability techniques for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

View full text Add to dashboard Cite

show abstract

“…Due to the simplicity of Neuber's concept in approximating elastic-plastic stresses and strains based on linear-elastic material behaviour, the methodology is applied in various research fields investigating local plasticity effects [73][74][75][76][77][78].…”

Section: ∆Wmentioning

confidence: 99%

A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Components

2023

View full text Add to dashboard Cite

The fatigue strength of cast steel components is severely affected by manufacturing process-based bulk and surface imperfections. As these defect structures possess an arbitrary spatial shape, the utilization of local assessment methods is encouraged to design for service strength. This work applies the elastic–plastic strain energy density concept to study the fatigue strength properties of a high-strength cast steel alloy G12MnMo7-4+QT. A fatigue design limit curve is derived based on non-linear finite element analyses which merges experimental high-cycle fatigue results of unnotched and notched small-scale specimens tested at three different stress ratios into a unique narrow scatter band characterized by a scatter index of 1:TΔW¯(t)=2.43. A comparison to the linear–elastic assessment conducted in a preceding study reveals a significant improvement in prediction accuracy which is assigned to the consideration of the elastic–plastic material behaviour. In order to reduce computational effort, a novel approximation is presented which facilitates the calculation of the elastic–plastic strain energy density based on linear–elastic finite element results and Neuber’s concept. Validation of the assessment framework reveals a satisfying agreement to non-linear simulation results, showing an average root mean square deviation of only approximately eight percent in terms of total strain energy density. In order to study the effect of bulk and surface imperfections on the fatigue strength of cast steel components, defect-afflicted large-scale specimens are assessed by the presented elastic–plastic framework, yielding fatigue strength results which merge into the scatter band of the derived design limit curve. As the conducted fatigue assessment is based solely on linear–elastic two-dimensional simulations, the computational effort is substantially decreased. Within the present study, a reduction of approximately 400 times in computation time is observed. Hence, the established assessment framework presents an engineering-feasible method to evaluate the fatigue life of imperfective cast steel components based on rapid total strain energy density calculations.

show abstract

“…[1][2][3][4][5][6][7] The damage accumulation theory was important for the residual strength assessment and life prediction. [8][9][10] It was proved that the damage accumulation of low cycle fatigue (LCF) was significantly affected by loading history of variable amplitude loading. [11][12][13][14][15][16] Consequently, the influence of loading history on damage accumulation had been widely studied since the last century.…”

Section: Introductionmentioning

confidence: 99%

“…Turbine blades generally worked under harsh conditions exposed to high temperature and variable loading, severely limiting the life and safety assessment of aero engines 1–7 . The damage accumulation theory was important for the residual strength assessment and life prediction 8–10 . It was proved that the damage accumulation of low cycle fatigue (LCF) was significantly affected by loading history of variable amplitude loading 11–16 .…”

Section: Introductionmentioning

confidence: 99%

Nonlinear fatigue life prediction model based on isodamage curve considering two‐block loading

Yun,

Shi,

Fan

et al. 2024

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

A non‐linear life prediction model considering the loading history is proposed based on isodamage curve. The stress‐controlled low‐high block loading of low cycle fatigue (LCF) at high temperature, with various previous cycles, was performed on a nickel‐based superalloy. The damage evolvement of the prior loading was revealed using scanning electron microscopy under the low‐high block loading, especially the failure mechanism of coaxing effect. In addition, load history correlation factor was introduced to describe the influence of prior cycle. Based on the Ni‐based superalloy, the life prediction model of two‐step loading, including the low‐high block (LH) and high‐low block loading (HL), was proposed, agreeing well with the experimental results for different metals. Compared with other life prediction models, the proposed model demonstrated the higher prediction accuracy and wider applicability.

show abstract

Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics approach

Cited by 17 publications

References 58 publications

A review of reliability techniques for the evaluation of Programmable logic controller

A review of reliability techniques for the evaluation of Programmable logic controller

A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Components

Nonlinear fatigue life prediction model based on isodamage curve considering two‐block loading

Contact Info

Product

Resources

About