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学者姓名：尚德广
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Abstract ：
It is of paramount importance to accurately predict the maintenance demands of vehicles in order to guarantee their sustainable use. Nevertheless, the current methodologies merely predict a partial aspect of a vehicle's maintenance demands, rather than the comprehensive maintenance demands. Moreover, the process of predicting vehicle maintenance demands must give due consideration to the influence of mileage on such demands. In light of the aforementioned considerations, we put forth a vehicle overall maintenance demand prediction method that incorporates vehicle mileage awareness. In order to address the discrepancy between the vector space of mileage and that of the project, we put forth a mileage representation method for the maintenance demand prediction task. To capture the significant impact of key mileage and projects on future demand, we propose a learning module for key temporal information using a fusion of Long Short-Term Memory (LSTM) networks and attention mechanism. Moreover, to integrate maintenance mileage and projects, we propose a fusion method based on a gated unit. The experimental results obtained from real datasets demonstrate that the proposed model exhibits a superior performance compared to existing methods.
Keyword ：
gated unit gated unit vehicle maintenance vehicle maintenance demand prediction demand prediction attention mechanism attention mechanism maintenance mileage maintenance mileage maintenance project maintenance project long and short-term memory networks long and short-term memory networks
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| GB/T 7714 | Chen, Fanghua , Shang, Deguang , Zhou, Gang et al. Mileage-Aware for Vehicle Maintenance Demand Prediction [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (16) . |
| MLA | Chen, Fanghua et al. "Mileage-Aware for Vehicle Maintenance Demand Prediction" . | APPLIED SCIENCES-BASEL 14 . 16 (2024) . |
| APA | Chen, Fanghua , Shang, Deguang , Zhou, Gang , Ye, Ke , Ren, Fujie . Mileage-Aware for Vehicle Maintenance Demand Prediction . | APPLIED SCIENCES-BASEL , 2024 , 14 (16) . |
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Abstract ：
In this paper, the competition mechanism between protectiveness and harmfulness of oxidation, as well as the effects of cycle period, mean stress and temperature on the damage behavior of TA15 titanium alloy are revealed under multiaxial thermo-mechanical fatigue loading. Based on the damage mechanism, a high-temperature environmental damage model is proposed under multiaxial thermo-mechanical fatigue loading first, then a life prediction method is developed by combining a multiaxial fatigue damage model. The experimental verification results under uniaxial and multiaxial thermo-mechanical fatigue loadings showed that almost all of the prediction errors are within a factor of 2.
Keyword ：
Life prediction Life prediction Damage mechanism Damage mechanism Titanium alloy Titanium alloy Multiaxial thermo-mechanical fatigue Multiaxial thermo-mechanical fatigue
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| GB/T 7714 | Qian, Cheng , Shang, De-Guang , Li, Dao-Hang et al. Life prediction based on fatigue-environment damage under multiaxial thermo-mechanical loading [J]. | ENGINEERING FRACTURE MECHANICS , 2024 , 308 . |
| MLA | Qian, Cheng et al. "Life prediction based on fatigue-environment damage under multiaxial thermo-mechanical loading" . | ENGINEERING FRACTURE MECHANICS 308 (2024) . |
| APA | Qian, Cheng , Shang, De-Guang , Li, Dao-Hang , Li, Wei , Li, Wen-Long , Mao, Zheng-Yu et al. Life prediction based on fatigue-environment damage under multiaxial thermo-mechanical loading . | ENGINEERING FRACTURE MECHANICS , 2024 , 308 . |
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Abstract ：
Ensuring road safety is heavily reliant on the effective maintenance of vehicles. Accurate predictions of maintenance requirements can substantially reduce ownership costs for vehicle owners. Consequently, this field has attracted increasing attention from researchers in recent years. However, existing studies primarily focus on predicting a limited number of maintenance needs, predominantly based solely on vehicle mileage and driving time. This approach often falls short, as it does not comprehensively monitor the overall health condition of vehicles, thus posing potential safety risks. To address this issue, we propose a deep fusion network model that utilizes multi-source data, including vehicle maintenance record data and vehicle base information data, to provide comprehensive predictions for vehicle maintenance projects. To capture the relationships among various maintenance projects, we create a correlation representation using the maintenance project co-occurrence matrix. Furthermore, building on the correlation representation, we propose a deep fusion network that employs the attention mechanism to efficiently merge vehicle mileage and vehicle base information. Experiments conducted on real data demonstrate the superior performance of our proposed model relative to competitive baseline models in predicting vehicle maintenance projects.
Keyword ：
vehicle maintenance vehicle maintenance projects prediction projects prediction deep learning deep learning multi-source data multi-source data
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| GB/T 7714 | Chen, Fanghua , Shang, Deguang , Zhou, Gang et al. Multi-Source Data Fusion for Vehicle Maintenance Project Prediction [J]. | FUTURE INTERNET , 2024 , 16 (10) . |
| MLA | Chen, Fanghua et al. "Multi-Source Data Fusion for Vehicle Maintenance Project Prediction" . | FUTURE INTERNET 16 . 10 (2024) . |
| APA | Chen, Fanghua , Shang, Deguang , Zhou, Gang , Ye, Ke , Wu, Guofang . Multi-Source Data Fusion for Vehicle Maintenance Project Prediction . | FUTURE INTERNET , 2024 , 16 (10) . |
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Abstract ：
The power spectral density curves of the random vibration response of a plate specimen with different spectral width coefficients were obtained by selecting different frequency ranges, and the probability distributions of the stress amplitudes were obtained by applying Monte Carlo method and rainflow counting method. Each probability distribution was divided into three segments by the corresponding zero-order spectral moment value, and each segment was fitted using either a Rayleigh function or an exponential function. Finally, a probability density function of stress amplitude was proposed by combining two Rayleigh functions and an exponential function. The proposed probability density function can be used to obtain the stress amplitude probability distribution for the power spectral density curves of structural random vibration response with any bandwidth, and the accuracy of the proposed function was verified based on the response data of a specimen of 7075-T651 aluminum alloy material under the action of six typical power spectral curves.
Keyword ：
Probability density function Probability density function Monte Carlo method Monte Carlo method Power spectral density Power spectral density Broadband signal Broadband signal Random vibration Random vibration
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| GB/T 7714 | Wu, Shao-Dong , Shang, De-Guang , Shi, Feng-Tian et al. A probability density function of stress amplitude applicable to power spectral density curves of structural random vibration response [J]. | INTERNATIONAL JOURNAL OF FATIGUE , 2024 , 186 . |
| MLA | Wu, Shao-Dong et al. "A probability density function of stress amplitude applicable to power spectral density curves of structural random vibration response" . | INTERNATIONAL JOURNAL OF FATIGUE 186 (2024) . |
| APA | Wu, Shao-Dong , Shang, De-Guang , Shi, Feng-Tian , Zhao, Bo-Cheng . A probability density function of stress amplitude applicable to power spectral density curves of structural random vibration response . | INTERNATIONAL JOURNAL OF FATIGUE , 2024 , 186 . |
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Abstract ：
The experimental results show that needled C/SiC composite exhibits nonlinear stiffness characteristics in the process of vibration. In order to consider the effect of the number of fiber layers on the fatigue properties, the S-N curve related to the number of 0 degrees layer fibers for needled C/SiC composite is proposed in this investigation. According to the relationship between the frequency response curve and the signal strength, an amplitude probability density function under narrow band random vibrations was proposed for predicting the fatigue life for the notched plate specimen. The results showed that the proposed method has a good prediction effect.
Keyword ：
Rayleigh model Rayleigh model Needled C Needled C SiC composite SiC composite Random vibration Random vibration Vibration fatigue life Vibration fatigue life S-N curve S-N curve
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| GB/T 7714 | Wu, Shao-Dong , Shang, De-Guang , Zuo, Lin-Xuan et al. Vibration fatigue life prediction method for needled C/SiC composite based on frequency response curve with low signal strength [J]. | INTERNATIONAL JOURNAL OF FATIGUE , 2023 , 168 . |
| MLA | Wu, Shao-Dong et al. "Vibration fatigue life prediction method for needled C/SiC composite based on frequency response curve with low signal strength" . | INTERNATIONAL JOURNAL OF FATIGUE 168 (2023) . |
| APA | Wu, Shao-Dong , Shang, De-Guang , Zuo, Lin-Xuan , Qu, Lin-Feng , Hou, Geng , Hao, Guo-Cheng et al. Vibration fatigue life prediction method for needled C/SiC composite based on frequency response curve with low signal strength . | INTERNATIONAL JOURNAL OF FATIGUE , 2023 , 168 . |
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Abstract ：
Strain rate sensitivity will change the cyclic mechanical response of materials under multiaxial thermomechanical fatigue loading; thus, it will lead to errors in fatigue life prediction if strain rate sensitivity is not considered in constitutive simulation. In order to more accurately express the time/rate dependence of viscoplastic behavior, a strain rate sensitivity factor is proposed to modify the viscoplastic function of Chaboche model first. On this basis, a viscoplastic constitutive model considering strain rate sensitivity under multiaxial thermomechanical fatigue loading is proposed, which can describe the varying influence of strain rate sensitivity on cyclic mechanical behavior. Meanwhile, the exponential isotropic hardening rule with the linear term is adopted to characterize the initial rapid softening and subsequent stable softening of the material under fatigue loading at elevated temperature. Moreover, the material-dependent nonproportional hardening coefficient and the loading path-dependent rotation factor are used in the kinematic hardening rule to consider the effect of nonproportional additional hardening on the cyclic mechanical behavior of materials. Finally, the proposed method is verified by the stress-strain data of titanium alloy TC4 and Ni-based superalloy GH4169 under uniaxial and multiaxial thermomechanical fatigue loadings, and a good agreement is obtained.
Keyword ：
thermomechanical fatigue thermomechanical fatigue multiaxial loading multiaxial loading viscoplastic constitutive model viscoplastic constitutive model high-temperature materials high-temperature materials strain rate sensitivity strain rate sensitivity
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| GB/T 7714 | Li, Dao-Hang , Shang, De-Guang , Chen, Hong et al. Viscoplastic constitutive model considering strain rate sensitivity under multiaxial thermomechanical fatigue loading [J]. | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES , 2023 , 46 (4) : 1455-1472 . |
| MLA | Li, Dao-Hang et al. "Viscoplastic constitutive model considering strain rate sensitivity under multiaxial thermomechanical fatigue loading" . | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES 46 . 4 (2023) : 1455-1472 . |
| APA | Li, Dao-Hang , Shang, De-Guang , Chen, Hong , Cong, Ling-Hua , Wang, Jin-Jie , Mao, Zheng-Yu et al. Viscoplastic constitutive model considering strain rate sensitivity under multiaxial thermomechanical fatigue loading . | FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES , 2023 , 46 (4) , 1455-1472 . |
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Abstract ：
The very high cycle fatigue crack initiation mechanism of Ti60 titanium alloy at different temperatures was studied. The results showed that the initiation of cracks occurred on oversized facets in the subsurface. Based on this crack initiation mechanism, a full-life prediction model based on crack propagation at room temperature was first proposed, and then a very high cycle fatigue life prediction model considering temperature was proposed based on the degradation law of tensile strength at different temperatures. The experimental and predicted life results of Ti60 specimen at room temperature with 300 degrees C and 500 degrees C showed that the proposed method can effectively predict the very high cycle fatigue life, and the error is within a factor of 3.
Keyword ：
Oversized facet Oversized facet Life prediction Life prediction Crack initiation mechanism Crack initiation mechanism Very high cycle fatigue Very high cycle fatigue Oxide shedding Oxide shedding
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| GB/T 7714 | Chen, Chao -Lin , Shang, De-Guang , Xiao, Na-Min et al. Fatigue life prediction of Ti60 titanium alloy under very high cycle loading at different temperatures [J]. | INTERNATIONAL JOURNAL OF FATIGUE , 2023 , 176 . |
| MLA | Chen, Chao -Lin et al. "Fatigue life prediction of Ti60 titanium alloy under very high cycle loading at different temperatures" . | INTERNATIONAL JOURNAL OF FATIGUE 176 (2023) . |
| APA | Chen, Chao -Lin , Shang, De-Guang , Xiao, Na-Min , Li, Xing -Wu , Sha, Ai-Xue , Li, Jing et al. Fatigue life prediction of Ti60 titanium alloy under very high cycle loading at different temperatures . | INTERNATIONAL JOURNAL OF FATIGUE , 2023 , 176 . |
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Abstract ：
Needled C/SiC composites are widely used in the aerospace field, making the evaluation of fatigue damage critically important. A fatigue damage model associated with the individual modulus is proposed. Compared to the fatigue damage model by S-N curve, the proposed fatigue damage model can better characterize the fatigue damage behavior of UN-C/SiC composites. By combining the rainflow counting method, the Goodman equation, and the Palmgren-Miner damage accumulation rule, a fatigue life prediction method considering the individual modulus is developed for UN-C/SiC composites under variable amplitude loading. Compared with the experimental life, the predicted fatigue life shows a good result.
Keyword ：
Ceramic matrix composites Ceramic matrix composites Variable amplitude loading Variable amplitude loading Fatigue life prediction Fatigue life prediction Needled C/SiC composites Needled C/SiC composites
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| GB/T 7714 | Yin, Xiang , Shang, De-Guang , Zuo, Lin-Xuan et al. Fatigue life prediction considering individual modulus for unidirectional needled C/SiC composites under variable amplitude loading [J]. | ENGINEERING FRACTURE MECHANICS , 2023 , 295 . |
| MLA | Yin, Xiang et al. "Fatigue life prediction considering individual modulus for unidirectional needled C/SiC composites under variable amplitude loading" . | ENGINEERING FRACTURE MECHANICS 295 (2023) . |
| APA | Yin, Xiang , Shang, De-Guang , Zuo, Lin-Xuan , Qu, Lin-Feng , Zhang, Hang , Zhou, Shuai et al. Fatigue life prediction considering individual modulus for unidirectional needled C/SiC composites under variable amplitude loading . | ENGINEERING FRACTURE MECHANICS , 2023 , 295 . |
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Abstract ：
Fatigue test of a needled C/SiC composite with a notch under tension-tension cyclic loading was completed, and the main fatigue crack propagation curve of the needled composite was obtained by the in situ observation of the fatigue process. By analyzing the influence of the failure number and distribution on the tensile loading subjected by 0 degrees fiber bundles, the relationship between the main fatigue crack propagation and the distribution of 0 degrees fiber bundles in the needled composite was established. By observing the fracture microstructure (especially the distribution of 0 degrees fiber bundles) of the needled composite through scanning electron microscopy, the reasons for the varying fatigue resistance of different notched specimens were also explained. In addition, acoustic emission (AE) was also used to analyze the AE energy characteristics during the fatigue crack propagation process of the needled composite.
Keyword ：
Fatigue crack Fatigue crack SiC composite SiC composite Fatigue resistance Fatigue resistance Notch Notch Needled C Needled C Fiber bundle distribution Fiber bundle distribution
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| GB/T 7714 | Hou, Geng , Shang, De-Guang , Zuo, Lin-Xuan et al. Fatigue crack propagation behavior at a notch for needled C/SiC composite under tension-tension loading [J]. | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY , 2022 , 36 (1) : 167-177 . |
| MLA | Hou, Geng et al. "Fatigue crack propagation behavior at a notch for needled C/SiC composite under tension-tension loading" . | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 36 . 1 (2022) : 167-177 . |
| APA | Hou, Geng , Shang, De-Guang , Zuo, Lin-Xuan , Qu, Lin-Feng , Xia, Ming , Guo, Yi-Er et al. Fatigue crack propagation behavior at a notch for needled C/SiC composite under tension-tension loading . | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY , 2022 , 36 (1) , 167-177 . |
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Abstract ：
The vibration fatigue life and vibration response signal at the dangerous position of each specimen were obtained by the broadband random vibration fatigue test for 7075-T651 aluminum alloy, and the stress amplitude probability distribution of vibration response signal was counted by rainflow counting method. By comparing the probability density distribution functions of broadband random vibration signal by frequency-domain method and analyzing the fitting accuracy of different distribution models for rainflow distribution, a new model for frequency-domain fatigue life prediction based on modified narrowband distribution model was proposed. The proposed model takes the second-order spectral width parameter of vibration signal as the weight coefficient, and the life prediction results are more accurate and less dispersive.
Keyword ：
Fatigue life Fatigue life Random vibration Random vibration Rayleigh distribution Rayleigh distribution Broadband signal Broadband signal Aluminum alloy Aluminum alloy
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| GB/T 7714 | Wu, Shao-Dong , Shang, De-Guang , Liu, Peng-Cheng et al. Fatigue life prediction based on modified narrowband method under broadband random vibration loading [J]. | INTERNATIONAL JOURNAL OF FATIGUE , 2022 , 159 . |
| MLA | Wu, Shao-Dong et al. "Fatigue life prediction based on modified narrowband method under broadband random vibration loading" . | INTERNATIONAL JOURNAL OF FATIGUE 159 (2022) . |
| APA | Wu, Shao-Dong , Shang, De-Guang , Liu, Peng-Cheng , Hao, Guo-Cheng , Hou, Geng , Shi, Feng-Tian et al. Fatigue life prediction based on modified narrowband method under broadband random vibration loading . | INTERNATIONAL JOURNAL OF FATIGUE , 2022 , 159 . |
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