Analysis of two-dimensional fatigue crack propagation in thin aluminum plates using the Paris law modified by a closure concept

Sato, Marcel; Moura, Lucas Santana; Galvis, Andres F.; Albuquerque, Éder Lima de; Sollero, Paulo

doi:10.1016/j.enganabound.2019.06.008

Cited by 12 publications

(7 citation statements)

References 30 publications

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“…As shown in Figure 2, given the current reactor state t s , the corresponding confidence (covariance) The DT of important equipment, as shown in Figure 3, includes several steps: 1) monitoring all related important parameters of the equipment, 2) detecting the change of equipment parameters, 3) ascertaining the root cause of change, and clearing the fault mode, 4) based on the specific failure mode, predicting the remaining useful life (RUL) or probability of failure (POF). In [5][6][7][8] , the necessity of predicting the remaining useful life is pointed out, and the challenges in the development of the lifepredicting model and many potential applications of the RUL model are analyzed. However, how to make RUL predictions in practical application is still difficult.…”

Section: Probabilistic Monitoringmentioning

confidence: 99%

Research on the Multi-probability of a Nuclear Reactor Core Digital Twins in the HeTu platform

Li,

Cai,

et al. 2023

J. Phys.: Conf. Ser.

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Digital twin (DT) technology plays a fundamental role in innovation in the energy field. At present, research of nuclear reactor DT is mainly focused on methodologies of multi-disciplinary, multi-physical, and multi-scale coupling simulation. However, the lack of research on multi-probability seems to limit the DT application. Multi-probabilities are widely found in reactor operation, such as process measurement uncertainty, equipment degradation uncertainty, theoretical model uncertainty, and so on. How to realize the DT of the reactor system based on the multi-probability principle to achieve the real-time operation state and the remaining useful life estimation, and to realize the autonomous operation control under the uncertainties, are the current hotspot and difficult issues. The solutions of a reactor core DT platform HeTu are discussed in this paper for probability estimation and probability control based on probability programming methodologies. The results show that Bayesian estimation and model prediction control methods proposed in HeTu could obtain satisfactory results for practical application.

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Section: Probabilistic Monitoringmentioning

confidence: 99%

Research on the Multi-probability of a Nuclear Reactor Core Digital Twins in the HeTu platform

Li,

Cai,

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…28 Moreover, material-dependent constants C and n are experimentally extracted through standard situations, that is, the stress ratio R ¼ K min =K max ¼ 0. Up to now, a large number of Paris-like FCG models have been proposed for modeling the FCG behavior in various situations (e.g., see previous works [29][30][31][32][33][34][35] ). It implies that a robust numerical FCG algorithm must be capable of working with any FCG models.…”

Section: Lefm-based Fcg Modelsmentioning

confidence: 99%

Developments in remeshing‐free fatigue crack growth simulation including a new adaptive virtual crack closure technique

Karimi

Aboutalebi

Heidari-Rarani

2022

Fatigue Fract Eng Mat Struct

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The present study aims to evaluate and improve the remeshing‐free fatigue crack growth (FCG) simulation and life estimation through two developing FEM‐VCCT and XFEMPN‐VCCT algorithms in Abaqus. First, new energy‐based forms of the Paris, Walker, and Elber FCG models are implemented by a user subroutine, a novel systematic meshing strategy is proposed, and some challenging features of these algorithms are investigated. Despite the success of this methodology in enhancing efficiency, decreasing the run‐time, and preventing potential errors, it is observed that the XFEMPN‐VCCT algorithm has some fundamental errors such as a serious overestimation in FCG life prediction. Thus, a novel “adaptive VCCT” is introduced and implemented by a Python script in Abaqus in the form of a new XFEMPN‐AVCCT algorithm. It is finally concluded that the adaptive VCCT can significantly enhance the accuracy of FCG simulation and life estimation.

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“…In (3), xt represents a time series. xt f means the data characteristics of the f-th sensor at the t-th time point in (4). Convolutional neural networks can handle problems in a complex environment and context, using the characteristics of weight sharing to integrate local features of data into a multilayer perceptron, with good performance for fault identification and diagnosis performance.…”

Section: Mscnnmentioning

confidence: 99%

“…To predict the remaining life based on physical models [3], the development of the physical models is a complicated process. In addition, in complex systems such as nuclear power plants [4], it is difficult to use physical models to understand the degradation mechanism. Besides this, many parameters need to be ascertained by concrete experiments, thereby restricting the use of this method.…”

Section: Introductionmentioning

confidence: 99%

MSCNN-BLSTM based Prediction of the Remaining Useful Life of Aeroengine

Wang

Chang

2022

J. Phys.: Conf. Ser.

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Accurate prediction of the aeroengine remaining useful life (RUL) is essential to improve engine availability and reliability. Aiming at the reliable prediction of residual life of aeroengine system, an engine residual life prediction model based on the fusion of multiscale fusion two-dimensional convolutional neural network and bidirectional long and short term memory (MSCNN-BLSTM) is proposed. Based on the fusion of two-dimensional convolutional neural network and bidirectional long and short time memory (BLSTM) network, the engine medium and advanced features extracted by the convolutional neural network are integrated to make residual life prediction. Finally, C-MAPSS dataset provided by NASA was used for validation. It is shown that the proposed multiscale hybrid model, compared with other model predictions, reduces the performance index score and root mean square error by 32.2% and 14.7% respectively. It can be seen that the data-driven model can effectively extract the information from the degradation data, which improves the prediction performance of aeroengine remaining life.

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Analysis of two-dimensional fatigue crack propagation in thin aluminum plates using the Paris law modified by a closure concept

Cited by 12 publications

References 30 publications

Research on the Multi-probability of a Nuclear Reactor Core Digital Twins in the HeTu platform

Research on the Multi-probability of a Nuclear Reactor Core Digital Twins in the HeTu platform

Developments in remeshing‐free fatigue crack growth simulation including a new adaptive virtual crack closure technique

MSCNN-BLSTM based Prediction of the Remaining Useful Life of Aeroengine

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