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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
    Abstract494)   HTML31)    PDF(pc) (2239KB)(298)       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
    Abstract483)   HTML8)    PDF(pc) (1386KB)(386)       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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    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
    Abstract296)   HTML23)    PDF(pc) (2999KB)(220)       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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    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
    Abstract275)   HTML2)    PDF(pc) (3813KB)(66)       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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    The classification of mild cognitive impairment based on supervised graph regularization and information fusion
    Ying LI,Jiankun WANG
    Journal of Shandong University(Engineering Science)    2023, 53 (4): 65-73.   DOI: 10.6040/j.issn.1672-3961.0.2023.025
    Abstract264)   HTML4)    PDF(pc) (3086KB)(253)       Save

    To precisely distinguish progressive and stable mild cognitive impairment (MCI). The projection matrix was learned from Alzheimer′s disease samples and normal control samples. The supervised graph regularization was used to optimize the local nearest neighbor relationship of the samples. Based on the projection matrix, the spatial transformation of the MCI samples was carried out to extract the discriminative features of progressive and stable MCI. The proposed features were fused with the scores of Mini-Mental State Examination and apolipoprotein E4. The SVM classifier was trained using the fused features for the MCI classification. The experiments were conduct on the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database. The classification accuracy reached to 73.33%. Compared with the existing approaches, the proposed method significantly improved the classification accuracy, sensitivity and specificity.

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    A research survey of driver drowsiness driving detection
    YANG Jucheng, WEI Feng, LIN Liang, JIA Qingxiang, LIU Jianzheng
    Journal of Shandong University(Engineering Science)    2024, 54 (2): 1-12.   DOI: 10.6040/j.issn.1672-3961.0.2023.279
    Abstract261)      PDF(pc) (1359KB)(199)       Save
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    Data fitting method for electricity consumption of power market users considering behavioral characteristics
    Hong YU,Juan DU,Lin WEI,Li ZHANG
    Journal of Shandong University(Engineering Science)    2023, 53 (4): 113-119.   DOI: 10.6040/j.issn.1672-3961.0.2023.077
    Abstract254)   HTML3)    PDF(pc) (2949KB)(211)       Save

    To address the problem that the electricity consumption behavior of market-based users was complex and variable, and the laws of electricity data were difficult to be accurately characterized, a market-based user electricity data fitting method considering behavioral characteristics was proposed. The K-means clustering algorithm was used to classify the electricity consumption behavior of customers and clarify the typical characteristics of each type of customers; the neural network model based on orthogonal polynomials was constructed, in which the neural network weight coefficients were trained by gradient descent algorithm and the orthogonal polynomials were Chebyshev polynomials, Hermite polynomials, Legendre polynomials and Laguerre polynomials. The simulation analysis was carried out using the electricity data of users in Jinan, Shandong Province, and four different orthogonal polynomials were used to fit the electricity data and calculate the evaluation indexes for different categories of users, so as to summarize the most suitable fitting methods for users with different behavioral characteristics. The simulation results showed that the power data fitting effect differed significantly among different implementation methods for similar users, and the fitting accuracy of the neural network models based on Hermite polynomials and Laguerre polynomials was relatively high, but the polynomial models with the highest power data fitting accuracy for different categories of users were different. Selecting the corresponding orthogonal polynomials to form a neural network fitting model according to the type of electricity consumption behavior was an effective way to achieve accurate fitting of user electricity data.

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    Resilience evaluation system of the old community based on cloud model
    Yujiang FAN,Huanhuan HUANG,Jiaxiong DING,Kai LIAO,Binshan YU
    Journal of Shandong University(Engineering Science)    2023, 53 (5): 1-9, 19.   DOI: 10.6040/j.issn.1672-3961.0.2022.357
    Abstract245)   HTML9)    PDF(pc) (3861KB)(335)       Save

    In order to accurately and efficiently improve the living environment quality of old urban communities and improve their disaster prevention and mitigation capabilities, a resilience evaluation system of the old community based on cloud model was proposed. Based on the resilience theory, the selected old communities were grouped according to different ages. Through field research, 30 groups of representative old communities characteristic data in Xi′an, Shaanxi Province were obtained. With reference to relevant literature and relevant expert suggestions, the building resilience, facility resilience, environmental resilience, and personnel resilience were determined. A total of 4 first-level indicators, 9 second-level indicators, and 30 third-level indicators constituted the evaluation index system of old communities. Analytic hierarchy process (AHP) was used to determine the subjective weight of each index, entropy weight method (EWN) and method based on the removal effects of criteria (MEREC) were used to determine its objective weight, combined weighting method was used to determine its final weight, and MATLAB was used to construct the resilience evaluation system of the old community based on cloud model. Based on this evaluation system, an old community—Wanqingxiang community in Xi′an was selected for resilience evaluation. The results could accurately reflect the weak links of resilience in the community, and also showed that the evaluation system had certain applicability and effectiveness.

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    Damage evaluation method and application of surrounding rock of underground research laboratory during excavation
    Qiangyong ZHANG,Zhichao YAN,Xin GUO
    Journal of Shandong University(Engineering Science)    2023, 53 (5): 57-64, 73.   DOI: 10.6040/j.issn.1672-3961.0.2023.070
    Abstract217)   HTML5)    PDF(pc) (8254KB)(113)       Save

    In order to reveal the damage evolution law of the surrounding rock during the excavation of the underground research laboratory, the deep underground research laboratory with a buried depth of 560 m in Gansu Beishan was taken as the research background project. An elastic-plastic damage constitutive model of the deep surrounding rock based on the Hoek-Brown criterion was established. The evaluation method for the damage degree of surrounding rock during excavation was proposed. The calculation program was developed and numerical simulations of the excavation and overload processes of the underground research laboratory construction were conducted. The research results showed that after the excavation of the cavern group, the surrounding rock was in slight elastic damage state with no plastic damage, the cavern group was safe and stable as a whole; with the increase of overload, the damage areas of the surrounding rock expanded significantly; when the overload reached 2.5 times the initial in-situ stress, the high damage areas and excavation rupture areas appeared at the intersection of the cavern group. It was recommended to strengthen the support for the intersection of the cavern group and monitor the middle partition wall. The research results provided guidance for optimizing the construction scheme of the underground research laboratory.

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    Numerical analysis method of soil-rock dual element foundation pit and anchor cable recovery scheme
    LI Lianxiang, MA Xuexiang, DU Wei, LI Shengqun, CHEN Jiacai, Surigalatu
    Journal of Shandong University(Engineering Science)    2023, 53 (5): 65-73.   DOI: 10.6040/j.issn.1672-3961.0.2022.292
    Abstract194)      PDF(pc) (207KB)(30)       Save
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    An efficient and lightweight RGB frame-level face anti-spoofing model
    Jiachun LI,Bowen LI,Jianbo CHANG
    Journal of Shandong University(Engineering Science)    2023, 53 (6): 1-7.   DOI: 10.6040/j.issn.1672-3961.0.2023.132
    Abstract188)   HTML7)    PDF(pc) (2618KB)(227)       Save

    Based on the challenge when deploying a deep learning-based face anti-spoofing (FAS) algorithm on general-purpose consumer devices with only RGB camera, an efficient and lightweight RGB frame-level FAS model (EL-FAS) was proposed. To improve the generalization ability of the model and achieve high performance under constrained conditions, a novel global spatial self-attention mechanism was explored to capture global feature dependencies, and an equal-channel pixel-wise binary supervision method was designed to force our model to learn shared features from different pixels. The Bottlenecks residual block was used to establish the backbone network to reduce parameters. Analysis and the experimental results showed that EL-FAS model achieved state-of-the-art performance in the OULU-NPU dataset, obtained competitive performance in the SiW dataset and cross-dataset tests. The model was lightweight, with only 1.34×106 parameters.

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    Dynamic response parameters of wind turbine under thunderstorm downburst
    Chuncheng LIU,Qingxun TENG
    Journal of Shandong University(Engineering Science)    2023, 53 (6): 108-121.   DOI: 10.6040/j.issn.1672-3961.0.2023.080
    Abstract166)   HTML7)    PDF(pc) (16876KB)(62)       Save

    In order to study the time-domain characteristics of the impact wind of mobile thunderstorms and the characteristics of the dynamic response parameters of wind turbines under their action, the wind speed time history of the impact wind of mobile thunderstorms was first simulated using the harmonic superposition method. The finite element model of fan structure considering the coupling effect of blade and tower tube was established, and then the response distribution laws of acceleration, displacement, section stress and shear force along the height direction of tower tube were obtained. The acceleration and displacement responses of the blades and the tower were further analyzed considering the different blade stall angles when the fan was stopped. Considering the influence of different wind directions on the wind turbine, the frequency domain characteristics of the dynamic response were analyzed, and the variation patterns of vibration mode participation coefficient, tower top displacement and acceleration, and tower bottom bending moment amplitude with frequency were given. Research showed that the wind speed time history of a moving thunderstorm impact wind included two distinct peaks (0-T/3, T/3-T/2). The variation of the displacement response peak at different blade stop angles was closely related to the height of the location. The frequency of thunderstorm impact wind load and the first order dominant frequency (around 0.230 Hz) had a significant impact on the structural displacement and section bending moment amplitude.

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    Importance identification method based on multi-order neighborhood hierarchical association contribution of nodes
    Gang HU, Lemeng WANG, Zhiyu LU, Qin WANG, Xiang XU
    Journal of Shandong University(Engineering Science)    2024, 54 (1): 1-10.   DOI: 10.6040/j.issn.1672-3961.0.2022.390
    Abstract154)   HTML8)    PDF(pc) (5411KB)(136)       Save

    In order to identify the node importance more finely and extend the scope and category of effective information gathering of nodes, the spatial location attribute information of network nodes and their direct and indirect neighbor nodes were fused and clustered, a node importance identification method of multi-order neighbor hierarchical association contribution of complex networks was proposed. The definition of the contribution of node level location attributes was given based on the network node spatial location hierarchical differences and inter-layer association information. A complex network target node multi-order neighbor hierarchical association contributions matrix was constructed to characterize the hierarchical contribution of the associations between direct neighbor nodes, indirect neighbor nodes and target nodes to their influence. A node importance identification method that fused node topological location contribution across layers and levels of space with multi-order neighborhood hierarchical association contribution was proposed. The simulation experiments showed that the proposed method could effectively improve the precision and accuracy of node importance identification on six real networks. This study provided a scientific theoretical basis for in-depth exploration of the dynamic evolution mechanism behind the network, and then made prediction and regulation by exploring the multi-order hierarchical interaction behaviors among the network nodes.

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    Parameter design and effect evaluation of pile side splitting grouting insilty clay stratum
    Yuxin WANG,Sizhong LÜ,Wang YAO,Chunjin LIN,Ming ZHANG,Zhaofeng LI,Jian ZHANG,Yansheng WANG
    Journal of Shandong University(Engineering Science)    2023, 53 (6): 70-81.   DOI: 10.6040/j.issn.1672-3961.0.2023.093
    Abstract140)   HTML3)    PDF(pc) (11669KB)(53)       Save

    Aiming at the problem of insufficient bearing capacity of in-service pile foundation in silty clay stratum, numerical simulation and field test were used to realize the parameter design and reinforcement effect evaluation of in-service pile foundation grouting. The expanding form of split grouting vein was analyzed, the finite element model of grouting pressure transmission was established by applying volume strain to the vein, the distribution law of radial pressure on the pile side in silty clay stratum under different grouting conditions was studied, and the design method of grouting parameters was put forward. The attenuation of earth pressure with distance was nonlinear. Under certain soil parameters, when the grouting pressure was 2.0 MPa and the distance between grouting hole and pile side was 0.5 m, the radial pressure transmitted to pile side was larger. At the same time, taking the pile foundation in the reconstruction and expansion site of Beijing-Taibei Expressway as a model, the contour map of the increase range of pile foundation bearing capacity under different working conditions was drawn, and the pile foundation bearing capacity was increased by 30.3%-89.4% after grouting reinforcement, which provided reference for the reinforcement effect of in-service pile foundations.

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    Real-time error estimation algorithm of free curve based on arc length parameters
    Yongliang LU,Wei ZHANG,Jun ZHAO,Zhen ZHANG,Zijian ZHANG
    Journal of Shandong University(Engineering Science)    2023, 53 (6): 143-151.   DOI: 10.6040/j.issn.1672-3961.0.2023.009
    Abstract124)   HTML1)    PDF(pc) (5463KB)(174)       Save

    Aiming at the problems that the machining accuracy of complex surface parts was required to be improved and it was difficult to accurately calculated the contour error in real time in the free curve tracking task, a real-time error estimation algorithm of free curve based on arc length parameters was proposed. In MATLAB/Simulink, non-uniform rational B-spline (NURBS) interpolation was used to plan the elliptical trajectory and the double twist trajectory. The real-time error estimation algorithm of free curve based on arc length parameters was compared with the contour error estimation accuracy and execution time of tangent line-based estimation, circular approximation, average velocity estimation and three points circular approximation. The simulation results showed that the real-time error estimation algorithm of free curve based on arc length parameters had better contour error estimation accuracy than the existing commonly used contour error estimation algorithm, and it was suitable for the case of large curvature free curve. The advanced cross-coupled control (CCC) scheme could be further designed by using this method.

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    Application of fiber optic sensing technology in road traffic
    SONG Xiuguang, ZHAO Tao, BI Yanmei, ZHANG Zihao, DU Cong, TIAN Yuan, KONG Xiaoguang
    Journal of Shandong University(Engineering Science)    2024, 54 (2): 13-26.   DOI: 10.6040/j.issn.1672-3961.0.2023.252
    Abstract124)      PDF(pc) (1745KB)(74)       Save
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    Experiment of the model of hydration heat temperature field and strain field of concrete single box and three chamber girder
    Peng WANG, Cheng HUANG, Guohao ZHAO, Feng ZHANG
    Journal of Shandong University(Engineering Science)    2024, 54 (1): 109-122.   DOI: 10.6040/j.issn.1672-3961.0.2022.363
    Abstract93)   HTML3)    PDF(pc) (23691KB)(35)       Save

    In order to study the distribution law of concrete hydration heat temperature field and strain field in concrete single box and three chamber girder, a concrete box girder scaled-down(1∶2) model was cast in Laibin, 148 temperature sensors and 20 strain sensors were embedded in the concrete. Meteorological sensors were arranged, and the distribution law of hydration heat field of C60 high-strength concrete box girder was obtained through the analysis of field actual measurement data. The research results showed that the hydration heat of single-box three-compartment box girder was divided into three stages: temperature rise stage (0-24 h), rapid temperature drop stage (24-96 h) and smooth temperature drop stage (96-240 h). The average temperature of the box girder cross-section needed 179 h before it was lower than the entering temperature, the heat generated by the hydration of the box girder needed at least 7 d to be completely dissipated; the peak temperature of the whole cross-section was 24 h after pouring, and the highest area was at the pedicle axillary position, with the highest temperature reaching 90.2 ℃, and the maximum horizontal temperature difference of the top plate reached 32.2 ℃ at this time. Influenced by the layered pouring, the maximum vertical temperature difference of the side web reached 12 h after pouring 40.1 ℃, and the construction cold joints could be observed on the site. The temperature field distribution at the stalk axle was complicated, and the maximum transverse temperature difference at the stalk axle was 22.5 ℃ and the maximum vertical temperature difference was 29.9 ℃, and the transverse shrinkage strain at the surface of the stalk axil is smaller than the vertical one. The strain on the outer surface of the stalk axil is lower and constrained by the template, so the strain is smaller than that inside the stalk axil. it was calculated that there was a risk of vertical cracking in six pedicle axils, and the maximum shrinkage tensile stress was 1.51 times of the tensile strength.

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    The long-range perspective and challenges for the construction of lunar base
    JIANG Mingjing, WANG Siyuan, JIANG Pengming, HUA Yixiong, SHI Anning, YANG Yuequn, XUE Qiaobin, DAI Wanting, QIU Song
    Journal of Shandong University(Engineering Science)    2024, 54 (2): 114-125.   DOI: 10.6040/j.issn.1672-3961.0.2023.305
    Abstract79)      PDF(pc) (13427KB)(51)       Save
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    Named entity recognition method combined with self-training model
    XIAO Wei, ZHENG Gengsheng, CHEN Yujia
    Journal of Shandong University(Engineering Science)    2024, 54 (2): 96-102.   DOI: 10.6040/j.issn.1672-3961.0.2022.353
    Abstract61)      PDF(pc) (1009KB)(34)       Save
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