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学者姓名：卢凯
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Abstract ：
In this paper, the cyclic elastic-plastic behaviors of the centrifugal steam compressor impeller (CSCI) structure under practical operating conditions are discussed employing the linear matching method (LMM). The three-stage strategy of the LMM is employed to determine the shakedown and ratchet boundaries by conducting a series of iterative direct steady cyclic analysis, and based on this, the load regions corresponding to different types of damage behavior that may occur during the operation are identified. Computational results reveal slight contraction in the structural response diagram when considering actual material constitutive relationships, compared to ideal elastic-plastic models. Meanwhile, by integrating the unified ratchet and fatigue program with fatigue experimental data, a series of constant low-cycle fatigue life curves has been presented for different service conditions. Furthermore, a comparison with detailed step-by-step inelastic analyses confirms the applicability and great efficiency of the LMM in practical engineering problems. The cyclic elastic-plastic behavior of impeller were investigated using the three-stage procedure. The effect of temperature-dependent and strain hardening on structural response of impeller were evaluated. The constant low-cycle life fatigue curves of the impeller structure were generated. The applicability and great efficiency of linear matching method have been confirmed.
Keyword ：
impeller impeller linear matching method linear matching method low cycle fatigue low cycle fatigue ratchet limit ratchet limit shakedown limit shakedown limit
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| GB/T 7714 | Li, Jianxun , Wang, Xiaoxiao , Ma, Zhiyuan et al. On the elastic-plastic behaviors of centrifugal steam compressor impeller under cyclic thermomechanical loading [J]. | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES , 2024 , 47 (8) : 2888-2904 . |
| MLA | Li, Jianxun et al. "On the elastic-plastic behaviors of centrifugal steam compressor impeller under cyclic thermomechanical loading" . | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES 47 . 8 (2024) : 2888-2904 . |
| APA | Li, Jianxun , Wang, Xiaoxiao , Ma, Zhiyuan , Lu, Kai , Chen, Haofeng , Wang, Weiqiang . On the elastic-plastic behaviors of centrifugal steam compressor impeller under cyclic thermomechanical loading . | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES , 2024 , 47 (8) , 2888-2904 . |
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This study provides investigations on whether the fracture toughness can be accurately predicted from mini-sized uniaxial tensile specimens with existing global and local approaches. The critical toughness model, based on classical fracture mechanics, and the energy release rate (ERR) model, based on damage mechanics, were used as the two representative global approaches. While the finite element simulated compact tension (CT) specimen implemented with Gurson-Tvergaard-Needleman model was used as the local approach. Specimen size effect was judged through the viewpoints of stress-strain relationship and damage development. It was proved that the specimen size has no significant influence on stress-strain relationship, and has little influence on damage developments when the thickness reaches 1.0 mm. Fracture toughness predictions were conducted on four metals, including two steels (SA508Gr.3Cl.1 and 18MnMoNbR), one aluminum alloy (6061-T651), and one titanium alloy (TC4). For TC4 exhibiting brittle cleavage features on the fracture surface of CT specimens, neither the global nor the local approach can accurately predict its fracture toughness. For 6061-T651 exhibiting both ductile and brittle features on the fracture surface of CT specimens, there exists significant macroscopic crack propagation at the moment of conventional fracture toughness determination. The existence of significant macroscopic crack is inconsistent with the "equivalent crack" assumption in the ERR model, leading to a failure in its fracture toughness prediction. For two steels following the "equivalent crack" assumption, the ERR model and the local approach yield more accurate predictions (with the maximum error around 10 %) than their critical toughness counterpart (with the maximum error around 30 %).
Keyword ：
Critical toughness model Critical toughness model Energy release rate model Energy release rate model Fracture toughness Fracture toughness Local approach Local approach Mini-sized uniaxial tensile specimen Mini-sized uniaxial tensile specimen
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| GB/T 7714 | Zhang, Tairui , Shang, Xiandong , Zhang, Naixin et al. An investigation on fracture toughness predictions from mini-sized uniaxial tensile specimens with global and local approaches [J]. | THEORETICAL AND APPLIED FRACTURE MECHANICS , 2024 , 131 . |
| MLA | Zhang, Tairui et al. "An investigation on fracture toughness predictions from mini-sized uniaxial tensile specimens with global and local approaches" . | THEORETICAL AND APPLIED FRACTURE MECHANICS 131 (2024) . |
| APA | Zhang, Tairui , Shang, Xiandong , Zhang, Naixin , Lu, Kai , Xie, Mingjiang . An investigation on fracture toughness predictions from mini-sized uniaxial tensile specimens with global and local approaches . | THEORETICAL AND APPLIED FRACTURE MECHANICS , 2024 , 131 . |
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In the structural integrity assessment of an embrittled reactor pressure vessel (RPV) based on probabilistic fracture mechanics (PFM), it is crucial to consider both of the mean value and the uncertainty of the embrittlement prediction. Typically, the embrittlement prediction uncertainty is given by a normal distribution, and its standard deviation is determined from the residuals of the measured and predicted values of all data used to develop the embrittlement prediction method. Therefore, the same uncertainty is assumed regardless of neutron fluence and the available data. To overcome this issue, the Japan Atomic Energy Agency recently developed the embrittlement prediction method based on machine learning and Bayesian statistics, i.e., the Bayesian nonparametric (BNP) method, and introduced it to the PFM analysis code. The BNP method can predict the probability distribution according to data scarcity and provide more reasonable uncertainty because it estimates significant uncertainties where the scatter of actual measured data is large and the number of data is small. In this study, PFM analysis for a Japanese model RPV in a pressurized water reactor is conducted using the PFM analysis of structural components in aging light water reactors, where the embrittlement probability distribution calculated using the BNP method is used. Furthermore, the effects of different embrittlement prediction methods and uncertainties on the failure frequency of RPVs are investigated in the PFM analyses, and the results are presented.
Keyword ：
Irradiation embrittlement Irradiation embrittlement Machine learning Machine learning Probabilistic fracture mechanics Probabilistic fracture mechanics Reactor pressure vessel Reactor pressure vessel
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| GB/T 7714 | Takamizawa, H. , Lu, K. , Li, Y. . Probabilistic fracture mechanics analyses of a reactor pressure vessel using the irradiation embrittlement evaluation based on the Bayesian nonparametric method [J]. | INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING , 2024 , 210 . |
| MLA | Takamizawa, H. et al. "Probabilistic fracture mechanics analyses of a reactor pressure vessel using the irradiation embrittlement evaluation based on the Bayesian nonparametric method" . | INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING 210 (2024) . |
| APA | Takamizawa, H. , Lu, K. , Li, Y. . Probabilistic fracture mechanics analyses of a reactor pressure vessel using the irradiation embrittlement evaluation based on the Bayesian nonparametric method . | INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING , 2024 , 210 . |
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This study focuses on the development of effective yield surface of porous metals, which is characterized with the two constitutive parameters (i.e., q(1) and q(2)) in the widely used Gurson-Tvergaard-Needleman (GTN) model. It was found that the influence of q(1) and q(2) on the mechanical responses may be masked by adjusting the two failure parameters (f(c) and f(F)), yielding a set of GTN parameters deviated from the actual situation and leading to the errors in failure predictions. Therefore, the two constitutive parameters should be carefully calibrated according to the hardening behavior of matrix. Further investigations on the void density and distributions proved that cubic cells containing 100 randomly distributed non-intersecting spherical voids are sufficient in characterizing the homogenization. On this basis, effective yield surface of porous metals with a wide range of void volume fractions (from 0.4% to 20%) was investigated, and a correlation between the constitutive parameters and the power-law hardening behavior of matrix was established. Finally, experimental verifications were conducted on low alloy steel SA508, indicating the q(1) and q(2) from this study can yield more accurate mechanical response predictions then the previously suggested values.
Keyword ：
constitutive parameters constitutive parameters effective yield surface effective yield surface failure prediction failure prediction Gurson-Tvergaard-Needleman model Gurson-Tvergaard-Needleman model porous metals porous metals
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| GB/T 7714 | Zhang, Tairui , Lu, Kai , Shang, Xiandong et al. Investigating effective yield surface of porous metals exhibit different hardening behaviors by cell models with randomly distributed spherical voids [J]. | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES , 2023 , 46 (11) : 4371-4391 . |
| MLA | Zhang, Tairui et al. "Investigating effective yield surface of porous metals exhibit different hardening behaviors by cell models with randomly distributed spherical voids" . | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES 46 . 11 (2023) : 4371-4391 . |
| APA | Zhang, Tairui , Lu, Kai , Shang, Xiandong , Xie, Mingjiang . Investigating effective yield surface of porous metals exhibit different hardening behaviors by cell models with randomly distributed spherical voids . | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES , 2023 , 46 (11) , 4371-4391 . |
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This study focused on the experimental investigations on parameter identification and failure prediction of Ti6Al-4 V by Gurson-Tvergaard-Needleman (GTN) model. Two approaches, i.e., direct (by image processing of SEM observations) and indirect measurements (by the reduction of effective Young's modulus or FE trail-and error), were used to determine the GTN parameters. Through digital image processed SEM micrographs of uniaxial tensile specimens at different deformation stages, the developments of void volume fraction (VVF) were obtained and compared with that from indirect measurements. The three nucleation parameters can then be analytically derived from this experimentally obtained VVF developments. The critical VVF at void coalescence was directly measured through a SEM observation of the section surface around the fracture region of uniaxial tensile specimen, and this value is also consistent with that from indirect measurement. However, as the matrix of a fracture surface is characterized with an obvious varying grayscale due to its dimple morphology, the VVF at final fracture is suggested to be determined from FE trial-and-error rather than a direct measurement of the fracture surface to avoid error induced by subjective judgements. Consistency of the determined GTN parameters was verified through failure predictions on notched tension (R = 6, 20, 100), notched Arcan tests (R = 1, 3, 5), and cracked Arcan tests (SECS, DECS, and CCS), which proved that GTN model with parameters from this experimental investigation cannot only predict the macroscopic mechanical behavior of ductile metals, but also well match the entire damage evolution, from void nucleation to final fracture.
Keyword ：
Experimental investigations Experimental investigations Failure prediction Failure prediction GTN model GTN model Parameter identification Parameter identification SEM observation SEM observation
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| GB/T 7714 | Zhang, Tairui , Lu, Kai , Zhang, Zhongdong et al. Experimental investigations on parameter identification and failure predictions of titanium alloy by Gurson-Tvergaard-Needleman model [J]. | THEORETICAL AND APPLIED FRACTURE MECHANICS , 2023 , 127 . |
| MLA | Zhang, Tairui et al. "Experimental investigations on parameter identification and failure predictions of titanium alloy by Gurson-Tvergaard-Needleman model" . | THEORETICAL AND APPLIED FRACTURE MECHANICS 127 (2023) . |
| APA | Zhang, Tairui , Lu, Kai , Zhang, Zhongdong , Shang, Xiandong , Wang, Qinghua . Experimental investigations on parameter identification and failure predictions of titanium alloy by Gurson-Tvergaard-Needleman model . | THEORETICAL AND APPLIED FRACTURE MECHANICS , 2023 , 127 . |
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