Uniaxial tensile test integrated design considering mould-fixture for UHPC

Zhang, Xiaochen,Shen, Chao,Zhang, Xuesen,Wu, Xiangguo,Faqiang, Qiu,Mitobaba, Josue G. Techno-Press 2022 Advances in computational design Vol.7 No.4

Tensile property is one of the excellent properties of ultra-high performance concrete (UHPC), and uniaxial tensile test is an important and challenging mechanical performance test of UHPC. Traditional uniaxial tensile tests of concrete materials have inherent defects such as initial eccentricity, which often lead to cracks and failure in non-test zone, and affect the testing accuracy of tensile properties of materials. In this paper, an original integrated design scheme of mould and end fixture is proposed, which achieves seamless matching between the tension end of specimen and the test fixture, and minimizes the cumulative eccentricity caused by the difference in the matching between the tension end of specimen and the local stress concentration at the end. The stress analysis and optimization design are carried out by finite element method. The curve transition in the end of specimen is preferred compared to straight line transition. The rationality of the new integrated design is verified by uniaxial tensile test of strain hardening UHPC, in which the whole stress-strain curve was measured, including the elastic behavior before cracking,strain hardening behavior after cracking and strain softening behavior.

A Study of Digit Recognition Algorithm for Meter based on Rough Set and Neural Network

Xiaochen Zhang,Yuanchang Zhong,Jiajia Shen,Kun Li,Congjun Feng 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8

Due to the low recognition accuracy, the remote meter reading technology based on camera direct reading has been developed slowly. Although there is a variety of features data for recognizing digit in image using BP neural network, some of data cannot be used to recognize digit accurately. Moreover, the BP network has a slow rate of convergence, low accuracy and easily fall into local minimum. To solve the above questions, a new digit recognition algorithm of meter based on rough set and neural network which are optimized by genetic algorithm is proposed. The improved genetic rough set algorithm is used for reducing the data, and then the minimum feature attribute sets after reduction are input to genetic neural network for identifying digit. The experimental results show that the algorithm can effectively reduce the number of decision attributes and simplify the structure of the neural network with high identification accuracy and short training time, which improve the generalization ability and robustness of the neural network.

A Variable Working Condition Rolling Bearing Fault Diagnosis Method Based on Improved Triplet Loss Algorithm

Ke Zhang,Jingyu Wang,Huaitao Shi,Xiaochen Zhang 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.4

In the case of large differences in working conditions and large noise effects, how to maintain the similarity of the same fault type is a major difficulty in the rolling bearing fault diagnosis. In addition, variable working conditions will cause the signal take place the local modulation, which makes the signal more susceptible to noise. Most of classification algorithms are difficult to eliminate the influence of variable working conditions on diagnostic results. To solve the problem, a fault diagnosis method is proposed which takes into account the change of speed and load in this paper. The method first applies the synchronous compression wavelet transformation to pre-process the data to reduce the effect of noise on feature extraction. Then, the Triplet loss function is improved and combined with the Hard Samples Mining theory to proposes a new loss function called Quadru-Hard loss to solve the problem of difficult classification under variable working conditions. Based on the experimental analysis of two sets of bearing fault data under variable speeds and variable loads, the results show that the method has a highly accuracy in fault diagnosis under two variable conditions.

Research on Energy Flow Optimization of Compound Storage System in Pure Electric Vehicle with Longitudinal Dynamics

Meng Dawei,Zhang Yu,Zhou Meilan,Tian Xiaochen 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12

Aiming at short endurance mileage for electric vehicle, effected vehicle life because of battery excessive charging and discharging, the control method is put forward making use of super-capacitor to recovery regenerative braking energy, Hafei-Saibao electric vehicle is as example,seven kinds of topology with composite energy-single load are researched on power consumption, and the force condition of front and rear wheels is analyzed for front driving vehicle,the required energy of front wheel is detected to develop control strategy. On the basis of experimental data, co-simulation is achieved in the vehicle special simulation software, the experimental results show endurance mileage of improved car has increased by 34%, endurance mileage after being charged is 243 kilometer, the per hundred kilometers consumption has been decreased to 7.5 kW.h from 12 kW.h, the electrical consumption has been decreased by 37.5%, and the full load characteristics is optimized.

Construction of Abalone Sensory Texture Evaluation System Based on BP Neural Network

Xiaochen Li,Yuyang Zhao,Renjie Li,Ning Zhang,Xue-Heng Tao,이응주 한국멀티미디어학회 2019 멀티미디어학회논문지 Vol.22 No.7

The effects of different heat treatments on the sensory characteristics of abalones are studied in this study. In this paper, the sensory evaluation of abalone samples under different heat treatment conditions is carried out, and the evaluation results are analyzed. The three-dimensional (3D) scanning and reverse engineering are used in tooth modeling of the sensory evaluation of abalone samples under different heat treatment conditions. Besides, the chewing movement models are simplified into three modes, including the cutting mode, compressing mode and grinding mode, which are simulated using finite element simulation. The elastic modulus of the abalone samples is obtained through the compression testing using a texture analyzer to distinguish their material properties under different heat treatments and to obtain simulated mechanical parameters. Finally, taking the mechanical parameters of the finite element simulation of abalone chewing as input and sensory evaluation parameters as the output, BP neural network is established in which the sensory texture evaluation model of abalone samples is obtained. Through verification, the neural network prediction model can meet the requirements of food texture evaluation, with an average error of 9.12%.

Genetic Analysis and Serological Detection of Novel O-Antigen Gene Clusters of Plesiomonas shigelloides

( Xiaochen Wang ),( Daoyi Xi ),( Yuehua Li ),( Junxiang Yan ),( Jingyun Zhang ),( Xi Guo ),( Boyang Cao ) 한국미생물생명공학회(구 한국산업미생물학회) 2021 Journal of microbiology and biotechnology Vol.31 No.4

Plesiomonas shigelloides, a member of the family Vibrionaceae, is a gram-negative, rod-shaped, facultative anaerobic bacterium with flagella. P. shigelloides has been isolated from such sources as freshwater, surface water, and many wild and domestic animals. P. shigelloides contains 102 Oantigens and 51 H-antigens. The diversity of O-antigen gene clusters is relatively poorly understood. In addition to O1 and O17 reported by other laboratories, and the 12 O serogroups (O2, O10, O12, O23, O25, O26, O32, O33, O34, O66, O75, and O76) reported previously by us, in the present study, nine new P. shigelloides serogroups (O8, O17, O18, O37, O38, O39, O44, O45, and O61) were sequenced and annotated. The genes for the O-antigens of these nine groups are clustered together in the chromosome between rep and aqpZ. Only O38 possesses the wzm and wzt genes for the synthesis and translocation of O-antigens via the ATP-binding cassette (ABC) transporter pathway; the other eight use the Wzx/Wzy pathway. Phylogenetic analysis using wzx and wzy showed that both genes are diversified. Among the nine new P. shigelloides serogroups, eight use wzx/wzy genes as targets. In addition, we developed an O-antigen-specific PCR assay to detect these nine distinct serogroups with no cross reactions among them.

A Comparative Study on Interference-Limited Two-Way Transmission Protocols

Xiaochen Xia,Dongmei Zhang,Kui Xu,Youyun Xu 한국통신학회 2016 Journal of communications and networks Vol.18 No.3

This paper investigates the performance of interferencelimitedtwo-way transmission protocols in the Rayleigh fadingchannels. New lower bound of outage probability and approximateexpression of bit error rate (BER) for three-phase two-way relaying(3P-TWR) protocol are derived in closed-form. These expressionsare valid for arbitrary signal-to-noise ratio values, numbersof co-channel interferers and amajority ofmodulation formats employedin the practical system. Then a comparative study is developedfor the performance of three two-way transmission protocols,i.e., direct transmission (DT) protocol, two-phase two-way relaying(2P-TWR) protocol and 3P-TWR protocol based on the asymptoticexpressions of outage probability and BER. On the basis of the theoreticalresults, the thresholds on the strength (variance) of directchannel and target rate for the relative performance of differentprotocols are obtained and the effect of interferences at the terminaland relay on the relative performance is analyzed. The resultspresent key insights on how to choose proper two-way transmissionprotocol with the knowledge of fading channels, required daterate and modulation format to optimize the system performance inthe practical interference-limited scenarios. Simulation results arepresented to validate the theoretical analysis.

중국의 창조산업 클러스터중심 복합개발사례 분석

최진,ZHANG XIAOCHEN,신우진 한국지역개발학회 2016 한국지역개발학회 세미나 논문집 Vol.2016 No.1

A Study on the Characteristics of Knowledge-based Industrial Complex Developments in Three Development Stages in China

Choi, Jin,Zhang, Xiaochen,Shin, Woo-hwa,Shin, Woo-jin 부산대학교 중국연구소 2016 Journal of China Studies Vol.19 No.3

The Damage Criterion Affecting Life Prediction of Fiber-Reinforced Al–Li Alloy Laminates Under Spectrum Loading

Meng Weiying,Li Yupeng,Zhang Xiaochen,Shi Huaitao,Zhang Yu,Lv Xiao 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.4

Fiber metal laminates, as the new generation of aircraft structural materials, are widely concerned by material researcher. This paper presents a study on the life prediction problems of fiber-reinforced Al–Li alloy laminates under spectrum loading by applying the cumulative damage and residual strength models. Firstly, fatigue life performance of the laminate materials is tested under different loading cases. Then, the most advanced damage accumulation and residual strength models are summarized, which is applied to composite laminates. Some models are directly abandoned because the data needed for fitting model cannot be obtained by this experiment or the model formulation is prevented directly to the application for the spectrum blocks with free loading. Meanwhile, a cumulative damage model considering residual strength is modified accordingly based on the characteristics of life prediction under spectrum loading. To study the impacts of these models on the fatigue life prediction for fiber reinforced Al–Li alloy laminate under spectrum loading, the predicted accuracy of these models will be compared by applying them to life prediction problems of 2/1 laminate and 3/2 laminate. Results show that compared with other models, modified model improves the prediction accuracy especially for 3/2 laminate.