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    Review and prospect of research on power system inertia with high penetration of renewable energy source
    Hengxu ZHANG,Zhimin GAO,Yongji CAO,Hao QIN,Dong YANG,Huan MA
    Journal of Shandong University(Engineering Science)    2022, 52 (5): 1-13.   DOI: 10.6040/j.issn.1672-3961.0.2022.237
    Abstract1264)   HTML75)    PDF(pc) (4575KB)(1132)       Save

    With the aim of carbon peak and carbon neutrality, the integration of high-proportion renewable energy sources (RESs) makes the low-inertia characteristic of the new power system more obvious. In order to ensure power system security and stability, and support the integration of RESs, the research on the power system inertia was reviewed and prospected. The essence of the power system inertia was introduced, and the correlation among the conventional inertia, virtual inertia and equivalent inertia was discussed, on which the physical significance of the virtual inertia was revealed. From the viewpoints of the sources of inertia, the research on the virtual inertia control of the wind machine, photovoltaic generation, and energy storage system was summarized. Additionally, the assessment methods of power system inertia were reviewed. The important issues to be focused in the research area of power system inertia were summarized, and the suggestions for further studies were provided.

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    Survey on student academic performance prediction from the perspective of task granularity
    Xiushan NIE,Yuling MA,Huiyan QIAO,Jie GUO,Chaoran CUI,Zhiyun YU,Xingbo LIU,Yilong YIN
    Journal of Shandong University(Engineering Science)    2022, 52 (2): 1-14.   DOI: 10.6040/j.issn.1672-3961.0.2021.489
    Abstract878)   HTML33)    PDF(pc) (1393KB)(294)       Save

    As one of the important research branches in educational data mining domain, student performance prediction was intensively studied. However, a comprehensive review of student performance prediction was still underexplored from the perspective of real applications. This paper detailed the technologies and methods exploited in student performance prediction research from the perspective of task granularity, and then introduced several application-oriented cases of student performance prediction, so as to provide targeted reference information for scientific researchers and educators.

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    Review of risk conflict identification and early warning for interchange
    Jianqing WU,Qifeng WANG,Zhouyuan LI,Yuan TIAN
    Journal of Shandong University(Engineering Science)    2022, 52 (6): 1-13.   DOI: 10.6040/j.issn.1672-3961.0.2022.172
    Abstract762)   HTML28)    PDF(pc) (2835KB)(359)       Save

    This review focused on three parts with data collection method, related indexes of traffic conflict and conflict risk early warning method. Each step of the technology was introduced from range of application, working principle, advantages and disadvantages.Based on the real-time multi-sensor data fusion and roadside early warning method, the future development trend and practical application of risk conflict identification and early warning technology for urban interchanges were prospected.

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    Research progress on preparation methods of engineering nano material particle aerosol
    Hui HU, Ningye TANG, Siyu WANG, Haisen WANG
    Journal of Shandong University(Engineering Science)    2022, 52 (4): 1-11.   DOI: 10.6040/j.issn.1672-3961.0.2022.009
    Abstract755)   HTML38)    PDF(pc) (3186KB)(379)       Save

    With the development of nanotechnology and biochemistry, higher requirements were put forward for the particle size and manufacturing process of micro particles. Aerosol, as a common engineering nano material particle, was widely used in all walks of life. The research progress of common aerosol preparation methods, which starts from the aerosol preparation methods and systematically based on a large number of relevant literatures, the applicable scenarios of different aerosol preparation methods, the application requirements were summarized of different aerosol preparation methods were defined, the advantages and disadvantages of were compared and analyzed different aerosol preparation methods. On this basis, the optimization and improvement of various methods by domestic and foreign scholars in different periods were further ummarized, and the experimental and research results of domestic and foreign scholars were deeply analyzed, and the application of supercritical fluid technology in aerosol preparation was analyzed and prospected.

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    Study on topological characteristics and node centrality of high-speed railway complex network
    Fengbo LAI,Bing XU,Ying XU,Lei ZHANG,Yirong SUN
    Journal of Shandong University(Engineering Science)    2022, 52 (6): 14-22.   DOI: 10.6040/j.issn.1672-3961.0.2022.214
    Abstract719)   HTML23)    PDF(pc) (4976KB)(168)       Save

    Taking the main representative cities in China as the research object, this study analyzed the characteristics and topological characteristics of high-speed railway network, and identifies node cities and their functions in high-speed railway network. The Space-P method was used to build a high-speed network model, and the complex network theory and Pajek analysis software were used to analyze the topological structure and node centrality of of China′s high-speed rail network from the aspects of degree values, average path length, aggregation coefficient and node city centrality. The results showed that China′s high-speed rail network highly aggregated and connected as a whole, the eastern, central and coastal cities showed high aggregation, while the western cities had low high-speed rail network connectivity and weak aggregation. High-speed rail network had the characteristics of a small world, any two nodes could be connected by a small number of transit times, and a few cities need three transit times to be connected. In the high-speed rail network, the cities with large degree values were mainly concentrated in the east, central and coastal regions of China, while the cities in the west and northeast regions had less degree values and large degree centrality, and their proximity centrality was also large. Cities with smaller degree value and greater intermediate centrality had stronger transit ability.

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    A machine vision system for measuring screw pitch with image processing techniques
    Tianyu HAN,Changhou LU,Jianmei LI,Ang YIN,Qiulin HOU
    Journal of Shandong University(Engineering Science)    2022, 52 (3): 80-85.   DOI: 10.6040/j.issn.1672-3961.0.2020.509
    Abstract701)   HTML15)    PDF(pc) (6708KB)(75)       Save

    In order to solve problems of damage to workpiece and high-cost of measuring equipment by contact measuring method, a low-cost and high-precision screw pitch measuring system based on machine vision was designed. The system was built on MATLAB and consisted of four sub-systems: image acquisition system, mechanical system, stepping control system, image and data processing system. Sub-pixel mosaic algorithm was used to splice the sub-images of the lead screw and a complete lead screw image could be obtained. Image quality was improved by image enhancement and filtering. Morphological edge extraction and sub-pixel edge location algorithm were used to extract the screw edge accurately, and pitch errors were measured automatically by data processing program. The experimental results showed that the relative error of the machine vision system and standard instrument (JCS-040A) for the measurement results of the three types of ball screw pitches didn't exceed 0.04%、0.06%、0.09%, respectively. The feasibility of the system in industrial measurement of lead screw was validated.

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    Preparation method and system of engineering nanoparticle aerosol
    Yi HAN,Zhen XU,Tian GUAN,Yang CUI,Hui HU,Liming MA
    Journal of Shandong University(Engineering Science)    2022, 52 (3): 109-116.   DOI: 10.6040/j.issn.1672-3961.0.2022.004
    Abstract671)   HTML6)    PDF(pc) (7468KB)(56)       Save

    A carbon nanoparticle aerosol preparation system with adjustable flow rate and mass concentration was designed based on the atomization method of nanomaterial suspension. The clean air and carbon nanotube material dispersion were sprayed and mixed in a stainless steel atomizing chamber to obtain an unstable aerosol. With the embedded temperature control system, flow control system and mass concentration control system, the unstable aerosol could be heated at a constant temperature in expansion chamber. Then the unstable aerosol expanded rapidly and reached uniformity. A relatively stable and uniform nanoparticle aerosol flow was obtained by controlling the valve body with an adjustable opening. It was demonstrated by experiments that under the condition of ideal temperature control system, the maximum error between the flow rate and the set value was 9.312 mL/min, and the maximum error between the mass concentration and the set value was 0.206 mg/m3. Nanoparticle aerosol with stable flow and mass concentration was generated basically.

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    Mechanical characteristics of TBM tunnel segment in composite stratum
    Weiqin ZHENG,Jie XU,Jie SUN,Ke WU
    Journal of Shandong University(Engineering Science)    2022, 52 (4): 210-213.   DOI: 10.6040/j.issn.1672-3961.0.2021.259
    Abstract670)   HTML4)    PDF(pc) (4433KB)(210)       Save

    Based on the redistribution of soil stress around the excavated tunnel due to the large buried depth of the tunnel during the construction of the composite stratum by the full section hard rock tunnel boring machine (TBM), considering that the surrounding rocks would produce the force of squeezing into the tunnel, segment damage might occur in the tunnel construction. The large-scale finite element numerical software ANSYS and finite difference software FLAC3D were used to simulate the underpass formation. The stress and strain of tunnel construction segments were comprehensively analyzed, and reasonable monitoring methods and protection measures were put forward. The main conclusions were as follows, when only considering the influence of stratum stress redistribution on lining segments after double tunnel construction, it was suggested that double tunnels should be constructed at the same time, and the displacement of segments was less affected by the direction of tunnel construction; In the construction process, the two adjacent sides of the double tunnel segment would have large horizontal displacement. If necessary, the inner side of the segment should be monitored and reinforced.

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    Recognition learning based on multivariate functional principal component representation
    Yinfeng MENG,Qingfang LI
    Journal of Shandong University(Engineering Science)    2022, 52 (3): 1-8.   DOI: 10.6040/j.issn.1672-3961.0.2021.314
    Abstract642)   HTML8)    PDF(pc) (6668KB)(324)       Save

    Aiming at the problem of multi-dimensional information fusion in recognition learning, a recognition method based on multivariate functional principal component representation was proposed. The numerical calculation method of multivariate functional principal components was given. The joint covariance operator was used to calculate eigenvalues and eigenvectors, and the key distinguishing features were extracted. Based on these comprehensive features, the random forest method was used to recognize and learn multivariate functional data. The recognition performance of multivariate functional principal component representation method was compared with other representation methods on simulated data and real data. The experimental results showed that the accuracy was equal to 1 in the simulation dataset, English handwritten dataset and Chinese handwritten dataset, and 0.954 4 in the motion dataset. Compared with other methods, multivariate functional principal component analysis (MFPCA) had better recognition effect and improved the recognition accuracy effectively.

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    Design and kinematics analysis of hybrid drive anthropomorphic manipulator
    SHI Zhenjie, LIU Yanjun, XUE Gang, JIA Hua, WANG Yu
    Journal of Shandong University(Engineering Science)    2022, 52 (4): 76-82.   DOI: 10.6040/j.issn.1672-3961.0.2021.488
    Abstract636)      PDF(pc) (6755KB)(121)       Save
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    Development of numerical calculation for coupled multi-field problems in cracked/porous media
    Yiming ZHANG,Yunpeng LI,Jing LI,Junyu CONG
    Journal of Shandong University(Engineering Science)    2022, 52 (6): 63-78.   DOI: 10.6040/j.issn.1672-3961.0.2022.231
    Abstract633)   HTML16)    PDF(pc) (7360KB)(162)       Save

    Numerical methods of coupled multi-field problems proposed in recent years were reviewed and summarized, from the simple weakly coupled thermo-mechanical to the complicated strongly coupled thermos-hydro-chemo- mechanical problems, from the coupled problem of continuous solid to discontinuous solid. The work was presented in a smooth and progressive manner.This study made a prospect for the future development of multi-field coupling numerical calculation.

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    Short-term wind power prediction based on CEEMDAN-GRA-PCC-ATCN
    Xinzhang WU,Xiangyu LIANG,Hongyu ZHU,Dongdong ZHANG
    Journal of Shandong University(Engineering Science)    2022, 52 (6): 146-156.   DOI: 10.6040/j.issn.1672-3961.0.2022.242
    Abstract621)   HTML3)    PDF(pc) (6481KB)(273)       Save

    To improve the accuracy of wind power prediction, a short-term wind power prediction method based on data decomposition and input variable selection was proposed. The complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) was used to decompose the original wind power and wind speed data, and smooth data fluctuation to extract internal hidden information. The wind power components were simplified and reconstructed by permutation entropy (PE) algorithm to reduce the model complexity. To enhance the correlation between the input variables and wind power, eliminate redundant information and reduce the dimensionality of the input data, the Pearson correlation coefficient (PCC) and gray relation analysis (GRA) were combined to select the input variables for each reconstructed wind power component. The attention-based temporal convolutional network was used to predict the reconstructed power components, and the predicted values were superimposed to obtain the final result. The experimental results showed that the short-term wind power prediction method based on CEEMDAN-GRA-PCC-ATCN could extract more internal key information of wind power data, reduce the dimension of input data, strengthen the correlation between input variables and wind power, and effectively improve the prediction accuracy.

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    Theoretical study on synergistic dispatch for development of new power system
    HAN Xueshan, LI Keqiang
    Journal of Shandong University(Engineering Science)    2022, 52 (5): 14-23.   DOI: 10.6040/j.issn.1672-3961.0.2022.267
    Abstract589)      PDF(pc) (879KB)(141)       Save
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    Comprehensive properties of red mud asphalt mixture based on organic and inorganic modification
    Jizhe ZHANG,Zixuan GANG,Yufeng BI,Hongya YUE,Run XU,Tingting DING,Shijie QI
    Journal of Shandong University(Engineering Science)    2023, 53 (1): 1-10.   DOI: 10.6040/j.issn.1672-3961.0.2022.137
    Abstract581)   HTML26)    PDF(pc) (1724KB)(155)       Save

    Focused on the issues of red mud utilization and road building material shortage, this paper put forward the research idea of utilizing red mud as the succedaneum of limestone powder to prepare asphalt mixture. Modification methods which included inorganic powder blending (cement, slaked lime) and organic coupling agent surface modification (silane coupling agent KH-550, KH-560) were proposed with the view of solving moisture sensitivity of red mud-bitumen interface, with the influence of modification means on performance of red mud asphalt mixture were also studied. The performance of red mud asphalt mixture before and after modification were systematically evaluated by using dynamic stability test, Marshall test, Hamburg rut test, dynamic modulus test and two-point bending fatigue test. It was found that the red mud could improve the high-temperature performance of asphalt mixture, but had negative effects on the moisture stability, cracking resistance and fatigue life. After red mud modification, the high and low temperature performance, moisture stability and long-term durability of red mud asphalt mixture were improved to varying degrees, and the surface modification effect of silane coupling agent performed better. It was proved the feasibility of using red mud to produce asphalt mixture and provided a new approach for red mud utilization.

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    Shear capacity of beams with cracks and without web reinforcement
    Wenjie LIU,Xueying YANG,Bo ZHANG,Zhixin FAN,Chengxin LI,Huiming YANG,Jinglong LI
    Journal of Shandong University(Engineering Science)    2022, 52 (3): 42-50.   DOI: 10.6040/j.issn.1672-3961.0.2021.004
    Abstract554)   HTML7)    PDF(pc) (10009KB)(72)       Save

    In order to investigate the effect of the position and angle of the pre-existing cracks on the shear capacity of beams without web reinforcement, a number of experiment beams with pre-existing cracks were fabricated, the three-point bending experiment of the beam was carried out. The influence of pre-existing cracks located in the basic arch of the beam span and the beam side on the shear capacity of beams without web reinforcement and the law of crack propagation were studied. The results showed that the pre-existing cracks on the beam had a weakening effect on the shear capacity of the beam, which made the beam more prone to diagonal tensile failure. Under the same conditions, when the crack tip of the pre-existing crack in the beam span was closer to the middle point of the bottom of the beam, the greater the weakening effect on the shear bearing capacity of the beam without web reinforcement. When the coincidence degree of the angle of the pre-existing cracks on the beam side and the basic arch was higher, the greater the weakening effect on the shear bearing capacity of the beam without web reinforcement, and the cracks at the bottom of the beam propagate through the two crack tips of the pre-existing cracks was easier. Conversely, the cracks at the bottom of the beam could extend to the middle of the pre-existing cracks.

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    Eco-driving model for connected and automated vehicle platoons using the traffic capacity remainder
    Shaowei YU,Ruiling QIN,Jingjing GUAN,Can JI,Shuo FENG,Rui JIANG,Yingning LIU
    Journal of Shandong University(Engineering Science)    2022, 52 (6): 23-29.   DOI: 10.6040/j.issn.1672-3961.0.2022.068
    Abstract510)   HTML7)    PDF(pc) (2656KB)(106)       Save

    Aiming at the problems of capacity remainder and high fuel consumption on unsaturated urban and rural traffic roads, this paper proposed an eco-driving model for connected and automated platoons using the capacity remainder, which considered the two goals of fuel economy and traffic capacity, and obtained the optimal speed profiles by solving optimization, to guide a series of small-sized platoons smoothly through the unsaturated urban and rural traffic corridors. In order to improve the computational efficiency of the proposed eco-driving model, this paper proposed an approximate speed optimization model and used genetic algorithm. In order to verify the performance of the proposed model, three control strategies were defined to test the model. The simulation results showed that compared with Strategy 1, Strategy 2 could reduce fuel consumption by 49.4%, increased traffic capacity by 200%, and reduced remaining green time by 14.7%; Strategy 3 could reduce 59.5% of fuel consumption, increased traffic capacity by 200%, and reduced remaining green time by 23.5%. Compared with Strategy 2, Strategy 3 could reduce fuel consumption by 20% without affecting traffic capacity by reducing remaining green time by 10.3% and the average speed by 5.2%. The results showed that when there was traffic capacity remainder at the signalized intersection, the fuel economy could be significantly improved by adjusting the vehicle speed curve to make full use of the traffic capacity remainder.

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    Power system uniformity planning based on source network coordination
    SUN Donglei, JIAN Qingzhi, LI Zhiqi, HAN Xueshan, WANG Mingqiang, CHEN Bo, FU Yimu
    Journal of Shandong University(Engineering Science)    2022, 52 (5): 92-101.   DOI: 10.6040/j.issn.1672-3961.0.2021.092
    Abstract485)      PDF(pc) (1774KB)(55)       Save
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    Research and optimization of hollow form of precast concrete pavement slab
    Xuhao WANG,Qianqian LIU,Hucheng LI,cheng LI,Peng LI,Yifeng LING
    Journal of Shandong University(Engineering Science)    2022, 52 (4): 139-150.   DOI: 10.6040/j.issn.1672-3961.0.2022.046
    Abstract483)   HTML4)    PDF(pc) (7509KB)(79)       Save

    In order to reduce the self-weight of precast concrete pavement slab, the concrete hollow slab was studied by using ABAQUS, the optimal length, width and thickness and circular hollow type of precast concrete solid slab were recommended. The local sizes of the circular section were optimized, and the influences of the radius, numbers and height of circle on the maximum flexural-stress, the maximum vertical displacement, the maximum compressive stress and shear stress of the slab were analyzed. Entropy weight method and technique for order preference by similarity to an ideal solution method were introduced to optimize multiple parameters, and the optimal hollow combination was obtained as 10 circles with a radius of 60 mm and a center height of 160 mm. By comparing the mechanical performance of hollow slab with solid slab, it was found that the difference was marginal, while optimized hollow slab could lead to a 970 kg self-weight reduction. The precast concrete hollow slab, the circular hollow type and its local size were proposed and recommended.

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    Named entity recognition model based on dilated convolutional block architecture
    Yue YUAN,Yanli WANG,Kan LIU
    Journal of Shandong University(Engineering Science)    2022, 52 (6): 105-114.   DOI: 10.6040/j.issn.1672-3961.0.2021.304
    Abstract476)   HTML1)    PDF(pc) (8903KB)(82)       Save

    Inspired by the dilated convolution, a column-wise dilated convolution towards two dimensional text embedding was proposed and a dilated convolutional block architecture was designed. A named entity recognition model based on the architecture was built for further experiments. In the named entity recognition experiment, the model surpassed other baseline models in the metrics of precision, recall, and F1 value, respectively reaching 0.918 7, 0.879 4, and 0.898 6, indicating that the dilated convolutional block architecture obtained features from context information, thereby supporting the extraction of the long-term dependency. The receptive field experiment showed that it was necessary to jointly adjust the dilation rate and the convolution kernel size to reduce the "gridding effect". The dilated convolutional block architecture proposed could effectively perform the task of named entity recognition.

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    Pre-allocation of resources based on trajectory prediction in heterogeneous networks
    Xiaobin XU,Qi WANG,Bin GAO,Zhiyu SUN,Zhongjun LIANG,Shangguang WANG
    Journal of Shandong University(Engineering Science)    2022, 52 (4): 12-19.   DOI: 10.6040/j.issn.1672-3961.0.2021.547
    Abstract439)   HTML27)    PDF(pc) (3698KB)(138)       Save

    Aiming at the problems of insufficient trajectory feature learning, low precision of trajectory prediction results, and coarse particles in the research of network resource management methods for trajectory prediction, a trajectory prediction algorithm of bidirectional recurrent neural network was proposed. Through in-depth mining of the user′s movement rules, the user′s movement prediction was realized. According to the user′s mobile prediction information, the network resource pre-allocation plan was designed and the mobile behavior was divided into network resources, then the collaborative resource optimization management of multiple cells was realized. The simulation results showed that in the trajectory prediction problem, the trajectory prediction algorithm of the bidirectional recurrent neural networked had better comprehensive performance than the ordinary neural network algorithm. In the problem of network resource management, the network resource management pre-allocation scheme of trajectory prediction could accurately predict the base station connected by users, so that the base station had a higher resource utilization rate.

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    Adaptive crow search algorithm with Jaya algorithm and Gaussian mutation
    HUANG Huajuan, CHENG Qian, WEI Xiuxi, YU Chuchu
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 11-22.   DOI: 10.6040/j.issn.1672-3961.0.2022.161
    Abstract416)      PDF(pc) (3546KB)(108)       Save
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    Intelligent scheduling technology of highway emergency rescue vehicle
    Xiuguang SONG,Xinming GUO,Fang YAN,Guoqiang LI,Yuan TIAN
    Journal of Shandong University(Engineering Science)    2023, 53 (4): 1-17.   DOI: 10.6040/j.issn.1672-3961.0.2023.045
    Abstract392)   HTML29)    PDF(pc) (2239KB)(273)       Save

    Traffic accidents had suddenness, complexity and severity. Efficient and reasonable dispatch of emergency rescue vehicles played a vital role in reducing casualties and property losses. The influencing factors of rescue route planning were introduced. The model was described from the single objective model and the multi-objective model. Combined with the characteristics of emergency rescue in sudden traffic accidents, the route optimization algorithm of emergency rescue vehicles was summarized from two aspects: precise algorithm and meta-heuristic algorithm. The current emergency rescue vehicle scheduling technology and development trend were summarized and prospected.

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    Research review of highway differentiated toll collection
    Jianqing WU,Yanqiang HUO,Jianzhu WANG,Hongyu GUO
    Journal of Shandong University(Engineering Science)    2023, 53 (4): 18-29.   DOI: 10.6040/j.issn.1672-3961.0.2023.063
    Abstract387)   HTML5)    PDF(pc) (1386KB)(282)       Save

    In order to formulate a scientific and reasonable scheme for highway differentiated toll collection, the background, realization manners, related theories and key technologies are systematically described, and the cases upgraded in Guangxi, Tianjin and Hebei are briefly introduced with design essentials and application effects, and outlooks on the research trend of highway differentiated toll collection are given.

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    An intrusion detection model based on improved ReliefF algorithm
    Caihui LIU,Qi ZHOU,Xiaowen YE
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 1-10.   DOI: 10.6040/j.issn.1672-3961.0.2022.136
    Abstract386)   HTML20)    PDF(pc) (3888KB)(171)       Save

    Aiming at the problems of insufficient feature extraction in the existing intrusion detection algorithms, the influence of feature weights was not considered, and the model classification was not accurate enough, an intrusion detection model based on the improved ReliefF algorithm was proposed. By optimizing the calculation of the feature weight of the intrusion data, an improved algorithm of ReliefF was proposed, based on the Pearson correlation coefficient of the calculated feature, a feature correlation scale was established. Only one of the features with high correlation was retained to realize the secondary optimization of the features, and finally decision tree, k-nearest neighbor, random forest, naive bayes and support vector machine classifier were used to evaluate the classification performance and accuracy. Experimental results on NSL-KDD and UNSW-NB15 data sets showed that this method could not only effectively reduce the feature dimension, but also had better detection performance, which had a positive effect on the computational complexity of the classifier.

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    The adsorption characteristics of Cu(Ⅱ) on ball clay
    Rong CHEN,Tong WEI,Dongxue HAO,Ke WU,Ruifeng GUO
    Journal of Shandong University(Engineering Science)    2023, 53 (1): 60-67.   DOI: 10.6040/j.issn.1672-3961.0.2022.176
    Abstract375)   HTML3)    PDF(pc) (2069KB)(35)       Save

    In order to study the adsorption characteristics of ball clay, the effect of adsorption time, ball clay dosage, pH values and initial concentration of Cu(Ⅱ) were examined by the batch experiments. The results suggested that the adsorption of Cu(Ⅱ) on ball clay was a fast and then slow process. Which almost achieved adsorption equilibrium after 60 minutes and the adsorption capacity and adsorption rate were increased with the increase of ball clay dosage and initial concentration of Cu(Ⅱ). The pH value had a great impact on the adsorption of ball clay and when the pH value was 6, the adsorption capacity was obtained over 97.93 mg/g. The adsorption of Cu(Ⅱ) on the ball clay followed the Langmiur isotherm model, and the maximum adsorption capacity obtained was 202.383 mg/g. The pseudo-second-order kinetics model was more suitable to describe the adsorption process of Cu(Ⅱ), which indicated that the adsorption rate was controlled by chemisorption. Compared with other pure clay adsorbent materials, the ball clay had a high ability to adsorb copper ions and could be used as a natural mineral adsorbent to treat industrial wastewater containing copper ions.

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    A technology prediction model based on fuzzy Bayesian networks with sociological factors
    ZHANG Hao, LI Ziling, LIU Tong, ZHANG Dawei, TAO Jianhua
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 23-33.   DOI: 10.6040/j.issn.1672-3961.0.2022.255
    Abstract373)      PDF(pc) (1634KB)(78)       Save
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    Analysis of screw extrusion dehydration efficiency based on micro element discrete model
    Pengning GUO,Wei LIU,Hao YUAN,Shuo FENG,Yangang WANG
    Journal of Shandong University(Engineering Science)    2023, 53 (1): 114-121.   DOI: 10.6040/j.issn.1672-3961.0.2021.372
    Abstract361)   HTML4)    PDF(pc) (2650KB)(45)       Save

    In order to study the effect of screw extrusion mechanism on the dewatering efficiency of food waste, a micro element discrete model connecting material characteristics and screw extrusion device parameters was constructed, combined with numerical simulation, the four factors affecting the dehydration efficiency of the unit, such as the initial moisture content of materials, the filling degree of materials, the form of spiral blades and the spiral speed, were theoretically calculated. In the process of building the model, the parameter scheme with relatively optimal dehydration efficiency was selected by using the analysis method of orthogonal test. The conclusion provided a theoretical basis for the design and selection of screw extrusion mechanism. The calculation results showed that the screw speed and material filling degree had a significant impact on the dehydration efficiency of the unit, and the maximum dehydration rates were up to 40% and 40.6%. The initial moisture content of materials and the form of spiral blades had little influence on the dehydration efficiency of the unit, and the maximum dehydration rates were only 16.6% and 14.8%. The orthogonal test results showed that the moisture content at the end of the material was 69.7% for variable pitch helical blade structure, under the condition that the initial moisture content of the material was 80%, the material filling coefficient was 75%, and the screw speed was 15 r/min. Considering the factors such as energy consumption, work efficiency and cost performance, the parameter condition had the most advantages in the actual working conditions.

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    SPK-means: a clustering algorithm for arbitrary shapes
    HOU Yanchen, ZHAO Jindong
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 87-92.   DOI: 10.6040/j.issn.1672-3961.0.2022.341
    Abstract320)      PDF(pc) (2796KB)(77)       Save
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    Software system evolution analysis based on network representation learning
    DENG Wentao, ZHANG Mengyi, HE Peng, ZENG Zhangfan, LI Bing
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 77-86.   DOI: 10.6040/j.issn.1672-3961.0.2022.342
    Abstract317)      PDF(pc) (5775KB)(73)       Save
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    The hierarchical map building of outdoor environment for mobile robot
    ZHANG Di, XU De
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 34-41.   DOI: 10.6040/j.issn.1672-3961.0.2022.368
    Abstract305)      PDF(pc) (7452KB)(94)       Save
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    Finger vein image retrieval based on multi-feature fusion
    LIU Xing, YANG Lu, HAO Fanchang
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 118-126.   DOI: 10.6040/j.issn.1672-3961.0.2022.190
    Abstract298)      PDF(pc) (5963KB)(121)       Save
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    Semantic supplement method for named entity recognition based on Affix-Attention
    SONG Jiarui, CHEN Yanping, WANG Kai, HUANG Ruizhang, QIN Yongbin
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 70-76.   DOI: 10.6040/j.issn.1672-3961.0.2022.086
    Abstract293)      PDF(pc) (1712KB)(73)       Save
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    Multi-source-free domain adaptation with batch normalization statistics
    LIU Ziyi, CUI Chaoran, MENG Fan'an, LIN Peiguang
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 102-108.   DOI: 10.6040/j.issn.1672-3961.0.2022.321
    Abstract288)      PDF(pc) (1860KB)(85)       Save
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    Crowdsourcing quality control algorithm based on reputation model
    CHU Jiajing, PAN Qingxian, PAN Ya'nan, LIU Qingju
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 93-101.   DOI: 10.6040/j.issn.1672-3961.0.2022.340
    Abstract284)      PDF(pc) (2302KB)(133)       Save
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    Deformation failure and damage evolution of urban metro tunnels under active faults
    Wenbin XIAO,Yinbiao XIE,Yang ZHENG,Ke WU,Rong CHEN,Qiulei LI,Ruizhe CHENG
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 1-13.   DOI: 10.6040/j.issn.1672-3961.0.2022.354
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    Based on a tunnel project across a fault, a refined three-dimensional numerical model of fault tunnel surrounding rock was established in this study. The grouting pressure, jacking force, grouting hardening and nonlinear behavior of materials in actual shield construction were considered in the models. Through a series of numerical models, the deformation mechanism, mechanical properties and damage evolution of shield tunnels crossing fault fracture zones with different widths, dip angles and included angle were analyzed. In numerical simulation, the control variable method was used to change the width, dip angle and included angle of the fault respectively to study the influence of a single variable. The results showed that the deformation and damage area of tunnel vault were positively correlated with the increase of fault width. With the increase of the fault width, the arch extrusion became more obvious. However, when the fault width increased to a certain limit, the lining arch would converge to the tunnel from the surrounding rock, and the stress in the arch would increase first and then decrease. With the increase of fault dip angle, the inward convergence of lining arch crown first increased and then decreased, and the initial damage location was related to the fault dip angle. The damage scope and extent of the tunnel decreased continuously with the increase of fault included angle. The circumferential stress concentration was obviously affected by the fault included angle. With the increase of fault tendency, the radar stress gradually changed from "X" to "cross-shaped". Therefore, the tunnel should cross the fault orthogonally as far as possible in the stage of tunnel location and pre-reinforcement measures should be taken in advance when crossing a wide fault to ensure the safety and stability of the tunnel.

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    Intelligent prediction method of IDH1 mutation status of glioma based on CnViT
    XU Qianqian, XU Qian, XU Huachang, ZHAO Yulin, XU Kai, ZHU Hong
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 127-134.   DOI: 10.6040/j.issn.1672-3961.0.2022.122
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    Internal exposure levels and influencing factors of serum per- and polyfluoroalkyl substances in the community residents in Jinan City
    ZHU Yuting, YAN Wenbao, XU Fei, JIANG Zhengting, ZHAO Nan, DING Lei
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 147-154.   DOI: 10.6040/j.issn.1672-3961.0.2022.398
    Abstract282)      PDF(pc) (927KB)(200)       Save
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    Online multi-object tracking method based on trajectory mask
    YU Mingjun, DIAO Hongjun, LING Xinghong
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 61-69.   DOI: 10.6040/j.issn.1672-3961.0.2022.135
    Abstract280)      PDF(pc) (2647KB)(57)       Save
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    Shear capacity analysis of prestressed concrete hollow slab beams
    YU Yang, SHI Nan, GAO Lei, ZHAO Guohao, ZHANG Feng
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 88-95.   DOI: 10.6040/j.issn.1672-3961.0.2021.531
    Abstract278)      PDF(pc) (8605KB)(47)       Save
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    Vertical distribution characteristics and influences of VOCs in Taian atmosphere
    GE Yanzhen, YANG Minmin, WU Wanqi, CAO Fangfang, CUI Ran, LI Xiaomeng, ZHAO Xinran, WANG Yan, CHEN Jianmin
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 138-146.   DOI: 10.6040/j.issn.1672-3961.0.2022.416
    Abstract272)      PDF(pc) (2082KB)(156)       Save
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    A risk-based probability reserve optimization method
    PEI Younan, HAN Xueshan, ZHANG Yumin, YE Pingfeng, LI Jingrui
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 143-154.   DOI: 10.6040/j.issn.1672-3961.0.2023.053
    Abstract264)      PDF(pc) (4229KB)(71)       Save
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    Multimodal hierarchical keyframe extraction method for continuous combined motion
    YU Yixuan, YANG Geng, GENG Hua
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 42-50.   DOI: 10.6040/j.issn.1672-3961.0.2022.131
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    Poisson-gamma topic model of describing multiple underlying relationships
    WU Yanli, LIU Shuwei, HE Dongxiao, WANG Xiaobao, JIN Di
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 51-60.   DOI: 10.6040/j.issn.1672-3961.0.2022.157
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    Auxiliary diagnosis algorithm for pediatric pneumonia based on multi-spatial attention
    LIU Fangxu, WANG Jian, WEI Benzheng
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 135-142.   DOI: 10.6040/j.issn.1672-3961.0.2022.111
    Abstract243)      PDF(pc) (3668KB)(64)       Save
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    Policy analysis and countermeasures for achieving carbon peak and carbon neutrality
    Xueliang YUAN,Yue YANG,Xuerou SHENG,Leping CHEN,Xin DAI,Qingsong WANG,Qiao MA
    Journal of Shandong University(Engineering Science)    2023, 53 (5): 132-141.   DOI: 10.6040/j.issn.1672-3961.0.2022.406
    Abstract236)   HTML10)    PDF(pc) (2999KB)(194)       Save

    To clarify the policy system of China′s carbon peaking and carbon neutrality goals, literature in this field from 2011 to the present was quantitatively analyzed, numbers of national policies and provincial policies since China first proposed the carbon peak and carbon neutrality goals on September 22, 2020 were systematically sorted out, and the development trend of the carbon peaking and carbon neutrality policies were analyzed. Policy recommendations were proposed in the areas such as improving laws and regulations, optimizing the carbon emission trading system, promoting standardization, driving technological innovation, promoting regional collaborative emission reduction, and promoting energy system transformation. The findings had reference significance for the revision and improvement of China′s carbon peaking and carbon neutrality policies, as well as the formulation of carbon emission reduction policies in other countries.

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    Effect of moisture content on shear strength performance of reinforced soil by soil nailing
    LIU Zihao, ZHANG Jiancheng, ZHANG Bo, FAN Zhixin, LI Chengxin, YANG Huiming, LI Jinglong
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 14-22.   DOI: 10.6040/j.issn.1672-3961.0.2021.538
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    Seepage characteristics of soil-structure contact under confining pressure
    Jian LIU,Hao YANG,Xiaolin CUI
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 60-68.   DOI: 10.6040/j.issn.1672-3961.0.2021.598
    Abstract232)   HTML3)    PDF(pc) (7841KB)(71)       Save

    To study the problem of particle loss in the process of contact seepage between soil-structure, a contact seepage failure test device under the combined action of seepage and pressure was designed. The effects of clay mass fraction, confining pressure and roughness of contact surface on particle erosion process under this condition were studied by experimental research. Under the combined action of seepage and pressure, three-stage phenomenon of particle erosion in contact seepage were appeared, which was seepage stability stage, particle migration stage and particle erosion stage respectively. The influence parameters of roughness, clay mass fraction and confining pressure on the particle erosion conditions of soil-structure interface were analyzed by multifactor analysis of variance. Considering the 95% confidence interval, the degree of influence, from large to small, was as follows: clay mass fraction, confining pressure, roughness. After fitting the formula by Quasi-Newton method, the formula of hydraulic conditions of particle erosion was put forward. The results could provide data support for infrastructure design with contact surface.

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    An incremental method for updating approximations of consistent blocks while the universe evolves over time
    LIU Bin, WANG Lei , WANG Chong, CAI Xiangxiang
    Journal of Shandong University(Engineering Science)    2023, 53 (2): 109-117.   DOI: 10.6040/j.issn.1672-3961.0.2021.573
    Abstract219)      PDF(pc) (3883KB)(46)       Save
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    Optimization of manufacturing parameters for optical fiber preform core based on intelligent algorithm
    Haoyuan LI,Jingming YU,Guilin ZHANG,Bin ZHANG
    Journal of Shandong University(Engineering Science)    2023, 53 (4): 149-156.   DOI: 10.6040/j.issn.1672-3961.0.2022.264
    Abstract215)   HTML2)    PDF(pc) (3813KB)(58)       Save

    Combined with back propagation (BP) neural network and genetic algorithm, a high-quality and low-cost process parameter optimization method was proposed. The flow rate of two blowtorch gases (H2-1, H2-2, H2-3, Ar-1, Ar-2, Ar-3, O2-1, O2-2, SiCl4) during the preparation of optical fiber preform core layer by vapor axial deposition (VAD) was selected as the input variable. The quality of the prepared optical fiber preform core layer was taken as the output variable in the established neural network model. The trained neural network model was combined with the genetic algorithm with global optimization ability, and the high quality core layer of optical fiber preform was taken as the optimization objective to obtain high quality gas parameters. The obtained parameters were selected at low cost, and the high quality and low cost process parameters were obtained. The experimental results showed that compared with the manual optimization results before optimization, the prepared optical fiber preform core layer met the high quality requirements and the cost was reduced by 22.19%.

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    Experimental study on mechanical properties and pore structure of gangue mixed aggregate concrete
    LI Wen, WANG Hailong, ZHANG Jiahao, YANG Hong, WANG Lei, FENG Shuai
    Journal of Shandong University(Engineering Science)    2023, 53 (3): 121-127.   DOI: 10.6040/j.issn.1672-3961.0.2021.449
    Abstract213)      PDF(pc) (3676KB)(231)       Save
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