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Reservoir bank slope stability prediction model based on BP neural network
Guoqiang Zhang,Wenkai Feng,Mingtang Wu,Hai Shao,Feng Ma 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.41 No.2
Safety monitoring and stability analysis of high slopes are essential for construction of concrete dam in precipitous gorges or mountainous areas. The estimate of slope stability is a difficult engineering shortcoming with a number of variables. Thereafter, a hybrid model of Support Vector Regression (SVR) and Teaching–learning-based optimization technique (TLBO) is proposed to develop the predicting function. TLBO was used in obtaining the best SRV factors to improve the prediction accuracy. Few essential factors, such as the installation height of instruments, classification of rock masses, modulus of elasticity, the complete measuring time cycle, the excavation height of slope, the start measuring time, and the actual excavation height after measurement are considered as the input parameter, but the slope displacement is regarded as output. The outcomes showed SRV-TLBO a reliable hybrid accurate prediction of slope stability, then it was effectively used to the left abutment slope of Jinping I hydropower station located in Yalongjiang concrete dam reservoir as a novel method for this purpose.
( Guoqiang Zhao ),( Hao Wu ),( Li Li ),( Jiajun He ),( Zhichao Hu ),( Xinjian Yang ),( Xiangxue Xie ) 한국축산학회 2021 한국축산학회지 Vol.63 No.6
This study investigated the effects of applying cellulase and starch on the fermentation characteristics and microbial communities of Napier grass silage after ensiling for 30 d. Three groups were studied: No additives (control); added cellulase (Group 1); and added cellulase and starch (Group 2). The results showed that the addition of cellulase and starch decreased the crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF) and pH significantly (p < 0.05) and increased water-soluble carbohydrate (WSC) content (p < 0.05). The addition of additives in two treated groups exerted a positive effect on the lactic acid (LA) content, lactic acid bacteria (LAB) population, and lactic acid / acetic acid (LA/AA) ratio, even the changes were not significant (p > 0.05). Calculation of Flieg’s scores indicated that cellulase application increased silage quality to some extent, while the application of cellulase and starch together significantly improved fermentation (p < 0.05). Compared with the control, both additive groups showed increased microbial diversity after ensiling with an abundance of favorable bacteria including Firmicutes and Weissella, and the bacteria including Proteobacteria, Bacteroidetes, Acinetobacter increased as well. For alpha diversity analysis, the combined application of cellulase and starch in Group 2 gave significant increases in all indices (p < 0.05). The study demonstrated that the application of cellulase and starch can increase the quality of Napier grass preserved as silage.
Guoqiang Zhao,Hao Wu,Yangyuan Li,Li Li,Jiajun He,Xinjian Yang,Xiangxue Xie Asian Australasian Association of Animal Productio 2024 Animal Bioscience Vol.37 No.1
Objective: The objective of this study was to investigate how cellulase or/and lactic acid bacteria (LAB) affected the fermentation characteristic and microbial community in wet brewer's grains (WBG) and corn stover (CS) mixed silage. Methods: The WBG was mixed thoroughly with the CS at 7:3 (w/w). Four treatment groups were studied: i) CON, no additives; ii) CEL, added cellulase (120 U/g fresh matter [FM]), iii) LAB, added LAB (2×10<sup>6</sup> cfu/g FM), and iv) CLA, added cellulase (120 U/g FM) and LAB (2×10<sup>6</sup> cfu/g FM). Results: All additive-treated groups showed higher fermentation quality over the 30 d ensiling period. As these groups exhibited higher (p<0.05) LAB counts and lactic acid (LA) content, along with lower pH value and ammonia-nitrogen (NH<sub>3</sub>-N) content than the control. Specifically, cellulase-treated groups (CEL and CLA) showed lower (p<0.05) neutral detergent fiber and acid detergent fiber contents than other groups. All additives increased the abundance of beneficial bacteria (Firmicutes, Lactiplantibacillus, and Limosilactobacillus) while they decreased abundance of Proteobacteria and microbial diversity as well. Conclusion: The combined application of cellulase and LAB could effectively improve the fermentation quality and microbial community of the WBG and CS mixed silage.
Study on electromechanical performance of steering of the electric articulated tracked vehicles
Jiaqi Wu,Guoqiang Wang,Huanyu Zhao,Kangkang Sun 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.7
Articulated tracked vehicles (ATVs) usually use hydraulic drive or mechanical drive modes. Electrically driven tracked vehicles have become a promising development direction for saving energy and meeting the environment requirements. In this study, based on the mechanical motion equation and the dynamic ATV equation, the electromechanical coupling model of the track vehicles is established by coupling the motor equation. The typical mechanical and electrical parameters in the ATV steering process are measured and compared with the numerical results to verify the correctness of the electromechanical coupling model. Experimental results indicate the main mechanical and electrical parameters of the ATV electro-mechanical system are changed at different articulated point deflection angles. The characteristic parameters of ATV include the change in current and voltage, the size of trajectory radius and the change of power under different deflection angles (10°, 15°, 20°, 25° and 30°), all of which are of great significance for the control of ATV. The current and voltage signals of ATV under specific trajectory can be calculated in reverse by the model, thereby providing a theoretical basis for the trajectory control of articulated vehicles. Therefore, this study provides a reference for the theoretical analysis of electromechanical performance, road driving performance and vehicle design of the electric ATV.
Synthesis Backbone-Dual-Responsive of Hyperbranched Poly(bis(N,N-ethyl acrylamide))s By RAFT
Yonggang Wu,Libin Bai,Guang Li,Wenliang Li,Sujuan Wang,Xinwu Ba,Guoqiang Zhou,Hongchi Zhao 한국고분자학회 2014 Macromolecular Research Vol.22 No.11
Hyperbranched poly(bis(N,N-ethyl acrylamide))s (HPNAMs) with many vinyls as terminal groups weresynthesized successfully using reversible addition fragmentation chain transfer polymerization (RAFT). Detailedanalyses, based on the molecular weight, α value, degree of branching (DB), and lower critical solution temperature (LCST)obtained from nuclear magnetic resonance (NMR), multi detector-size exclusion chromatography (MDSEC), ultravioletvisible(UV-vis) spectroscopy, and dynamic light scattering (DLS), indicate that we acquired backbone-temperatureand pH responsive HPNAM. Factors, such as DB, molecular weight, and pH value, that affect the LCST were investigated. It was found that the molecular weights of the hyperbranched polymers show significant influence on the LCSTs. For the HPNAMs with low molecular weight, the LCSTs decreased as the DB increased, and the LCSTs can also beadjusted by changing the pH value of solutions. Furthermore, the result of cell cytotoxicity indicates that this new dualresponsive hyperbranched polymer has low cytotoxicity and exhibits potential for biomedical applications.
Precise Cutterhead Clogging Detection for Shield Tunneling Machine Based on Deep Residual Networks
Ruihong Wu,Chengjin Qin,Guoqiang Huang,Jianfeng Tao,Chengliang Liu 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3
During the construction process of tunnels, the cutterhead of shield tunneling machines may get cloggeddue to clay adhesion, which may seriously affect the efficiency of the project. Therefore, finding an intelligentdiagnosis method to detect the clogging status is of great importance. In this study, a deep residual network-basedmethod for diagnosing cutterhead clogging on shield tunneling machines is proposed. First, working state data ofthe shield tunneling machine is screened out, and parameters reflecting the clogging state are selected for furtheranalysis. After eliminating extreme outliers, an empirical formula is proposed to label the data. At the same time,several time-domain features of the selected excavation parameters within every five minutes are extracted. Thesefeatures are then fed into the proposed model as the input data to realize clogging detection. Because the originaldataset is imbalanced, the combination of f1-score and accuracy is used to evaluate the performance of the proposedmodel. The results show that the accuracy of the proposed algorithm reaches 95.71%, which is 1.21%, 2.84%,9.84%, 6.04%, and 0.86% higher than the support vector machine-based, random forest-based, AdaBoost-based,extreme gradient boosting-based and deep neural network-based methods. The f1 score of the proposed modelis 0.923, which is also 0.038, 0.042, 0.269, 0.169 and 0.02 higher than those compared methods. Therefore, theproposed deep residual network-based method can accurately detect cutterhead clogging conditions.
Fault-tolerant converter and fault-tolerant methods for switched reluctance generators
Han, Guoqiang,Liu, Wanli,Lu, Zhe,Wu, Menglin,Lin, Hang The Korean Institute of Power Electronics 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.10
Aiming at improving the fault-tolerant performance of switched reluctance generators, a new power converter with fault-tolerance capability is proposed in this paper. The structure of the converter is simple and there is only one transistor in each of the working modes, which makes fault diagnosis easier. To obtain more fault information, an improved current measurement method is proposed. The phase current is obtained by solving current equations obtained by current sensors and rotor positions. Open-circuit and short-circuit faults can be determined by comparing the consistency of the current slope and gate signal. Fault locations can be determined by comparing the relationships among the magnitude of the bus current, the phase current, and the corresponding thresholds. Open-circuit transistors can be replaced by fault-tolerant strategy, which returns the power converter to normal and maintains the stable operation of the system. Simulations and experiments show that the open-circuit and short-circuit faults of transistors can be diagnosed by the proposed strategy.
Unipolar photonic memristive-like nonlinear switching in split-ring resonator based metamaterials
Hongya Wu,Liang Xu,Shikao Shi,Guanglei Zhang,Guoqiang Qin,Caihui Wang,Gang Yu,Ji Zhou,Shuzhi Zheng 한국물리학회 2018 Current Applied Physics Vol.18 No.4
Photonic memristor, which performs the function as memristor working on electromagnetic fields, can accelerate the development of all-optical network. A unipolar photonic memristive-like switching behavior in split-ring resonator based metamaterials was reported. Transmission-power (T-P) loops are observed in the metamaterials. And the T-P loops change with the detect frequency which indicates the tunability and designability of the photonic memristor. These behaviors are attributed to the increasing dielectric constant of MgTiO3 ceramic caused by the interaction of sample and electromagnet field. The mechanism supplies a general foundation for photonic memristors which can be used from radio frequency to optical wavelength.
Akram, Shakeel,Wu, Guangning,Gao, GuoQiang,Liu, Yang The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.5
With the continuous development in insulation of electrical equipment design, the reliability of the system has been enhanced. However, in the manufacturing process and during operation under continues stresses introduce local defects, such as voids between interfaces that can responsible to occurrence of partial discharge (PD), electric field distortion and accumulation of charges. These defects may lead to localize corrosion and material degradation of insulation system, and a serious threat to the equipment. A model of three layers of PI film with air gap is presented to understand the influence of interface and voids on exploitation conditions such as strong electrical field, PD activity and charge movement. The analytical analysis, and experimental results are good agreement and show that the lose contact between interfaces accumulate more residual charges and in consequences increase the electric field intensity and accelerates internal discharges. These residual charges are trapped charges, injected by the electrodes has often same polarity, so the electric field in cavities increases significantly and thus partial discharge inception voltage (PDIV) decreases. Contrary, number of PD discharge quantity increases due to interface. Interfacial polarization effect has opposite impact on electric field and PDIV as compare to void.
Yi Liu,Lin He,Guoqiang Yin,Guojie Wu,Yingde Cui 대한화학회 2013 Bulletin of the Korean Chemical Society Vol.34 No.8
A convenient Rh-catalyzed C-H arylation of imidazo[1,2-a]pyridines with a variety of aryl halides or triflates has been reported. This process afforded a range of biaryl compounds in excellent yields and showed high activity and broad scope.