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    Information & Control
    Jacobi-like Joint Diagonalization Algorithm Based on QR Decomposition
    Ce JI, Ye LI, Bo-qun LI
    2024, 45 (3):  305-313.  DOI: 10.12068/j.issn.1005-3026.2024.03.001
    Abstract ( 784 )   HTML ( 79)   PDF (2170KB) ( 361 )  

    In order to improve the blind separation performance of approximate joint diagonalization of real matrix sets and to avoid trivial solutions, a Jacobi?like joint diagonalization algorithm based on QR decomposition is proposed. Using the numerical stability of QR decomposition, the Jacobi rotation matrix is used to decompose the separation matrix into the product of several elementary triangular matrices and orthogonal matrices. The structure of Jacobi rotation matrix and the related elements of the target matrix transformation are used to obtain the optimal parameters. The high-dimensional minimization problem is iteratively transformed into a series of low-dimensional sub-problems, which enhances the recovery accuracy of the source signal. The algorithm complexity is reduced by solving the simplified Frobenius-norm objective function. The simulation results of mixed electrocardiogram (ECG) signals show that compared with QRJ2D, LUCJD and EGJLUD, the proposed algorithm has certain advantages in separation accuracy and convergence speed.

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    Prediction of Sinter Chemical Indexes Based on GMM-KNN-LSTM
    Guang-lei XIA, Zhao-xia WU, Meng-yuan LIU, Yu-shan JIANG
    2024, 45 (3):  314-322.  DOI: 10.12068/j.issn.1005-3026.2024.03.002
    Abstract ( 699 )   HTML ( 27)   PDF (1440KB) ( 230 )  

    Aiming at the problem that unlabeled samples cannot be utilized by machine learning due to the low detection frequency of sinter chemical indexes,a prediction model for sinter chemical indexes that makes full use of the useful information in the samples is proposed. Firstly,the unlabeled samples are transformed into labeled samples by combining Gaussian mixture model (GMM) and K-nearest neighbor (KNN) algorithm,and then combined with long short-term memory (LSTM) unit for predicting three chemical indexes,namely,total Fe mass fraction,FeO mass fraction,and alkalinity of sinter. By comparing with the three models of back propagation neural network (BPNN),recurrent neural network (RNN), and LSTM,the results show that the proposed model has a low prediction error. The prediction hit rates of total Fe mass fraction and FeO mass fraction reach 98.73% and 95.33%,respectively within the allowable error of ±0.5%,and the prediction hit rate of alkalinity is 98.13% within the allowable error of ±0.05,demonstrating high prediction accuracy.

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    Materials & Metallurgy
    Effects of Stabilizing Annealing Temperature on Microstructure and Properties of Cold-Rolled 5059 Aluminum Alloy Plate
    Qing-feng ZHU, Jian-hang HUANG, Yang GAO, En-ge ZHANG
    2024, 45 (3):  323-330.  DOI: 10.12068/j.issn.1005-3026.2024.03.003
    Abstract ( 597 )   HTML ( 28)   PDF (2515KB) ( 205 )  

    The cold‐rolled 5059 aluminum alloy plate was annealed at different temperatures

    (125~275 ℃) for 1 h, and the effects of stabilizing annealing temperature on the microstructure and properties of the plate were studied. The results showed that shear bands passing through multiple fibrous grains were formed in the deformed microsturcture of the cold‐rolled plate with deformation 62.8%. After annealing at different temperatures (150~225 ℃) for 1 h, theβ phase was precipitated continuously along the shear bands, leading to the formation of corrosion grooves during intergranular corrosion processes. As the annealing temperature increased from 125 ℃ to 275 ℃, the yield strength and tensile strength of the 5059 plate decreased from 386 and 474 MPa to 301 and 407 MPa, respectively, while the elongation increased from 10.4% to 18.1%. The corrosion amount per unit area of 5059 aluminum alloy cold‐rolled plates increased from 13.7 mg/cm2 of 125 ℃×1 h annealed plate to 53.8 mg/cm2 of 200 ℃×1 h, and then gradually decreased to 4.9 mg/cm2 of 275 ℃×1 h annealed plate.

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    Raman Spectroscopy and Theoretical Calculation on Structure of Na2CO3-K2CO3-NaVO3 Molten Salts
    Yi-fan ZHANG, Xian-wei HU, Jiang-yu YU, Zhao-wen WANG
    2024, 45 (3):  331-336.  DOI: 10.12068/j.issn.1005-3026.2024.03.004
    Abstract ( 337 )   HTML ( 24)   PDF (1101KB) ( 132 )  

    In the molten Na2CO3‐K2CO3, NaVO3 can catalyze the in‐situ electroreduction of CO2 to prepare high value‐added carbon‐based products. Studying the molten salt structure of Na2CO3‐K2CO3‐NaVO3 system contributes to understand the electrode process mechanism and optimize the reaction conditions.The ionic structure of Na2CO3‐K2CO3‐NaVO3 molten salt system at 1 073 K was investigated by a combination of Raman spectroscopy and quantum chemistry calculation using Gaussian and Molclus programs. The results show that VO43- generated by the reaction of CO32- and VO3- exists in the melts, apart from the presence of CO32-, but VO3- doesn’t exist. VO43- belongs to C1 point group symmetry, and the band located at 802 cm-1 in the Raman spectrum is caused by the symmetrical stretching vibration of the V—O bond in VO43-. As the mass fraction of NaVO3 in the system increases from 5% to 15%, the relative content of VO43- increases dramatically, while that of CO32- decreases accordingly in the molten salts.

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    Reduction Behaviors of Copper, Cobalt and Iron in Smelting of Copper Oxide Concentrate
    Lei ZHANG, Kai-xi JIANG, Feng XIE, Dian-kun LU
    2024, 45 (3):  337-345.  DOI: 10.12068/j.issn.1005-3026.2024.03.005
    Abstract ( 448 )   HTML ( 23)   PDF (1256KB) ( 330 )  

    For the cobalt‐bearing copper oxide concentrate from Congo, experiment of coke reduction smelting with fayalite slag was conducted. The effects of CaO‐to‐SiO2 mass ratio, FeO‐to‐SiO2 mass ratio and coke rate on the reduction rates of copper and cobalt were investigated. The reduction sequence and conditions of copper, cobalt, iron and silicon oxides were analyzed by thermodynamics. The reduction process of copper, cobalt and iron oxides was quantitatively analyzed by means of metal oxide reduction thermodynamics and coke gasification kinetics. The results show that the reduction of copper, cobalt and iron in the copper oxide concentrate can be divided into the competitive fast reduction period in the early stage and the slow reduction period of copper and cobalt in the later stage. The reduced metal iron in the slow reduction period will undergo reoxidation. The large amount of competitive iron reduction in the early stage and its reoxidation in the later stage will reduce the reduction rate of copper, cobalt and iron and the effective utilization rate of coke. The formation mechanism of ferroalloy layer on the surface of crude copper is revealed.

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    Mechanical Engineering
    Modeling and Control Strategy of Electric Drive System with Flexible Load
    Xiao-peng LI, Hao-zhe WANG, Meng YIN, Sai-nan ZHOU
    2024, 45 (3):  346-353.  DOI: 10.12068/j.issn.1005-3026.2024.03.006
    Abstract ( 641 )   HTML ( 23)   PDF (1629KB) ( 174 )  

    In order to suppress the speed fluctuations and vibrations generated during the startup and operation of servo motors, a PI control strategy based on pole configuration was proposed. Firstly, an overall dynamic model of servo motors and flexible load was established based on Kirchhoff’s voltage law and Lagrangian principle, and the transfer function of the system was calculated through Laplace transform. Secondly, by designing the parameters of the controller, the impact of using pole configuration methods with the same amplitude on the control effect was analyzed. Finally, the advantages of this pole configuration method were verified by comparing the traditional Z‐N methods and uncontrolled methods. Through numerical simulation and experimental research, the control of angle errors generated during the startup and operation of servo motors is achieved, effectively suppressing the fluctuations of motor speed and ensuring the stability of the system.

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    Few-Shot Semantic Segmentation of Strip Steel Surface Defects Based on Meta-Learning
    Hu FENG, Ke-chen SONG, Wen-qi CUI, Yun-hui YAN
    2024, 45 (3):  354-360.  DOI: 10.12068/j.issn.1005-3026.2024.03.007
    Abstract ( 595 )   HTML ( 24)   PDF (1291KB) ( 252 )  

    Due to the limited availability of strip surface defect samples, the application of deep neural networks in strip surface detection is constrained. To solve this practical issue, a meta‐learning‐based few‐shot semantic segmentation method is proposed. A multi‐scale decoder and attention mechanism are used in the proposed method. The multi‐scale decoder can aggregate the defect information at different scales and improve segmentation accuracy of the proposed network. The attention mechanism can effectively improve the expression of defect features and suppress the interference of defect background information. In addition, a novel few‐shot steel strip surface defect semantic segmentation dataset is constructed including nine classes of strip steel surface defects. Comparison experiments on the proposed dataset show that the proposed method is superior to similar few‐shot segmentation methods such as PFENet, SCLNet, and HSNet in terms of evaluation index mean intersection over union and foreground‐background intersection over union.

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    Elastic Modulus and Dynamic Evolution of Fracture in Double-Fractured Sandstone Under Cyclic Loading
    Shu-hong WANG, Xian-peng ZHUANG, Fei WANG, Qian-bai ZHAO
    2024, 45 (3):  361-371.  DOI: 10.12068/j.issn.1005-3026.2024.03.008
    Abstract ( 842 )   HTML ( 23)   PDF (4183KB) ( 190 )  

    In order to study the changes in elastic modulus and the dynamic evolution of cracks in sandstones with different inclination angles of rock bridges under cyclic loading, uniaxial cyclic loading and unloading tests, along with PFC2D simulations were carried out on sandstone specimens with rock bridge inclination angles of 15°, 45°, 75°, 90° and 105° when the fissure inclination angle was fixed at 45°. The results show that a significant strengthening of the elastic modulus of sandstone with different fissures due to cyclic loading. There is a correlation between the stress‐strain curve and the instantaneous microcrack evolution curve of specimens obtained from discrete element simulation under cyclic loading. The rock bridge inclination angle has an influence on the damage mode of sandstone, and the dynamic crack evolution in the PFC2D simulation can reasonably reflect the initiation location and growth direction of cracks in the rock. The damage defined based on the number of microcracks, corresponds well to the damage pattern, with the maximum original damage at a rock bridge inclination angle of 45°.

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    Influence of Multi-factor Coupling Effect on Dynamic Characteristics of Layered Phyllite
    Jiang-bo XU, Guo-zheng SUN, Xin-min HOU, Yang-lin YU
    2024, 45 (3):  372-381.  DOI: 10.12068/j.issn.1005-3026.2024.03.009
    Abstract ( 585 )   HTML ( 17)   PDF (2595KB) ( 96 )  

    In order to study the effect of strain rate on the dynamic characteristics of phyllite under different length?diameter ratio and dip angle, the samples with four dip angles (α=0°, 30°, 60° and 90°) and two lengths (L=25, 50 mm) were selected as research objects. The dynamic compression tests under different impact pressures (p=0.150, 0.175, 0.200, 0.225 and 0.250 MPa) were carried out by using the split Hopkinson pressure bar (SHPB) system. The dynamic characteristics of phyllite with two aspect ratios at different strain rates were studied, and the influence of the coupling effect between the bedding dip angle, aspect ratio and strain rate on the strength characteristics of phyllite was analyzed. The results show that under dynamic compression, the dynamic compressive strength of phyllite with two different aspect ratios decreases first and then increases with the increase of bedding angle, and the dynamic peak strength and peak strain increase with the increase of strain rate. The relationship between dynamic compressive strength of phyllite and strain rate follows a power function. The relationship between peak strength and bedding angle α and L/D is binary function. When α=60°, the aspect ratio effect on the dynamic compressive strength of phyllite is the most significant, and when L/D=2, the dip angle effect is the most significant. Under different bedding dip angles, the aspect ratio effect of peak strain is the most significant at 0°dip angle, and the weakest at 90°dip angle. The strain rate effect on dynamic compressive strength and peak strain of phyllite under dynamic impact is stronger than that of aspect ratio effect.

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    Resources & Civil Engineering
    Parameter Inversion and 3D Deformation Monitoring Method of Underground Nuclear Explosion Based on Ascending and Descending SAR Data
    Li-ming HE, Jia-shuai KANG, Cong GUO, Xing-jie WANG
    2024, 45 (3):  382-390.  DOI: 10.12068/j.issn.1005-3026.2024.03.010
    Abstract ( 413 )   PDF (5413KB) ( 115 )  

    Taking the sixth underground nuclear test of North Korea as an example, based on the ascending and descending ALOS?2 SAR data, firstly, the line‐of‐sight deformation of the nuclear test site is obtained by D?InSAR technology, and the nuclear explosion parameters are determined by Bayesian inversion method. Then, the POT technology is introduced to measure the azimuth and range deformation of the nuclear test site. Finally, the D?InSAR and POT results are combined to calculate the three‐dimensional surface deformation field of the nuclear test site. This study found that the nuclear explosion was located beneath the Wanta Mountain at the Punggye‐ri test site in the Democratic People’s Republic of Korea. The longitude and latitude of the explosion are 129.079 2° east longitude and 41.302 6° north latitude, with a depth of approximately 550 m. The nuclear explosion resulted in a horizontal displacement of about 3 m and vertical subsidence of about 1 m. The results indicate that the significance of space‐based SAR remote sensing technology, especially long‐band SAR, in monitoring underground nuclear test, and it could offer new ideas for underground nuclear test monitoring.

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    Detailed Deformation of Continuous Box Girder Bridge Based on Ascending and Descending SAR Data
    Lian-huan WEI, Xiao-tian WANG, Meng AO, Xin LI
    2024, 45 (3):  391-400.  DOI: 10.12068/j.issn.1005-3026.2024.03.011
    Abstract ( 671 )   HTML ( 17)   PDF (5759KB) ( 173 )  

    An approach was presented for detailed deformation monitoring of bridges, by fusing ascending and descending synthetic aperture radar (SAR) data while considering deformation caused by temperature change (named as thermal deformation). Firstly, taking a continuous box girder bridge as an example, the ascending and descending SAR datasets are analyzed based on small baseline subsets interferometric SAR (SBAS?InSAR) to extract line-of-sight (LOS) deformation. Then, thermal deformation model of the bridge is established based on least squares method to separate the periodic thermal deformation and long-term trending deformation. Finally, by combining the structural characteristics of the bridge, fusion of the ascending and descending data based on space-time interpolation and singular value decomposition is conducted, to extract the thermal deformation, the vertical and longitudinal trending deformation, and the deformation mechanism and causative factors of the bridge is analyzed. The results demonstrate that the proposed approach can extract accurate thermal deformation and three-dimensional deformation of the bridge, providing reliable methodological support for bridge health monitoring.

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    Effect of Metallic Minerals on Transport Characteristics of Ammonium Dibutyl Dithiophosphate in Saturated Porous Media
    Yu-ting FENG, Li CHENG, Ke-mei WANG, En-zhu HU
    2024, 45 (3):  401-406.  DOI: 10.12068/j.issn.1005-3026.2024.03.012
    Abstract ( 612 )   HTML ( 17)   PDF (1510KB) ( 161 )  

    Taking ammonium dibutyl dithiophosphate(ADD) as the research object, based on the saturated soil column migration experiment and mathematical model, the effects of the type and amount of metal loading on the surface of quartz sand on the migration law of ADD were explored. The results show that the migration of ADD is not affected by the loading of goethite on the surface of quartz sand (iron content 0.028% and 0.042%). However, when CuO was coated on sand surface subsequently, ADD reacted with Cu2+ on the surface of the minerals, forming Cu?ADD complex, which restrained the transport of ADD. With the increase of copper content from 0.001 8% to 0.005 5%, the recovery rate of ADD decreased from 44.32% to 8.85%. When the copper content is 0.001 8%, the recovery rate increases to 63.64% as the mass concentration of ADD increases from 20 mg/L to 60 mg/L.

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    Test Study on Drying Shrinkage Properties of Engineered Cementitious Composites with RTP‐PVA Hybrid Fibre
    Meng CHEN, Yu HONG
    2024, 45 (3):  407-414.  DOI: 10.12068/j.issn.1005-3026.2024.03.013
    Abstract ( 422 )   HTML ( 14)   PDF (2164KB) ( 92 )  

    In order to study the effect of recycled tyre polymer (RTP) and polyvinyl alcohol (PVA) hybrid fibres on the dry‐shrinkage properties of engineered cementitious composite (ECC), the fluidity, direct tension and dry‐shrinkage tests of RTP‐PVA hybrid fibre reinforced ECC with a total volume fraction of 2.0% were carried out, and the mechanism and dry‐shrinkage calculation model of hybrid fibres were analyzed. The results show that RTP fibres replacement ratio of 12.5%~50% has minimal effect on the ECC fluidity, which is 1.09%~3.69% lower than that of single doped PVA fibres. The tensile strength of ECC decreases with the increase of RTP fibres replacement ratio to PVA fibres, the tensile strength of ECC with different proportions of hybrid fibres is 23.6% to 56.6% lower compared with that of single PVA fibres. The drying shrinkage rate curves of ECC with different proportions of hybrid fibres exhibit similar trends, and the drying shrinkage rate at 7 d is 80.92%~82.77% of that at 28 d. The drying shrinkage rate of ECC decreased with the increase of RTP fibres replacement ratio to PVA fibres, and the drying shrinkage rate of ECC with different proportions of hybrid fibres decreased by 0.80% to 2.09% compared with that of single PVA fibres at 28 d. RTP‐PVA hybrid fibres can play a synergistic role in inhibiting drying shrinkage of ECC. Combined with the experimental results, an index drying shrinkage prediction model suitable for RTP‐PVA hybrid fibre ECC is proposed.

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    Ignition Sensitivity of Al/Fe2O3 Thermite Dust
    Gang LI, Yan-ying MA, Zong-yang LIU, Xiang-li NAN
    2024, 45 (3):  415-421.  DOI: 10.12068/j.issn.1005-3026.2024.03.014
    Abstract ( 503 )   HTML ( 15)   PDF (1568KB) ( 123 )  

    In order to determine the ignition characteristics of thermite, the ignition sensitivity of four layered and cloud Al/Fe2O3 thermite with mass ratio of Al and Fe2O3(1∶4,1∶3,1∶2,1∶1) was studied by using the minimum ignition temperature (MIT) and minimum ignition energy(MIE) test device combined with TG?DSC method. The results show that the MIT of dust layer and dust cloud for 4 kinds of matching samples exceed the conventional test range specified in relevant standards, the triggering temperature of thermite with the mass ratio of 1∶3 in the air is 888 ℃ and the activation energy is 248.49 kJ/mol, indicating that thermite reaction is not easy to trigger. The MIE of Al/Fe2O3 dust cloud with the same mass ratio is much higher than that of the dust layer, and the minimum MIE of the laminar is 0.7 J, indicating a higher ignition sensitivity. This is because Fe2O3 acts as an inerting agent in the reaction within the dust cloud state, and provides active oxygen species for the reaction within the dust layer state.

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    Performance Enhancement of PVDF Nanofiber Membrane on Industrial Dust Removal Filter Materials
    Jing-xian LIU, Yue DU
    2024, 45 (3):  422-429.  DOI: 10.12068/j.issn.1005-3026.2024.03.015
    Abstract ( 649 )   HTML ( 17)   PDF (2703KB) ( 86 )  

    In order to improve the filtration efficiency by using the fine diameter and hot piezoelectric properties of PVDF fiber membrane, the PVDF fiber membrane was prepared using electrospinning. SEM and XRD were employed to characterize the morphology and β crystal phase transformation of PVDF fiber membrane. The PVDF fiber membrane was attached to PPS filter material to prepare PPS/PVDF composite filter material, and its filtration efficiency and differential pressure characteristics were evaluated. The results show that the PVDF fiber membrane has no beaded structure, the fiber diameter distribution ranges from 270 to 780 nm, with a median value of 427.3 nm, and the crystal structure is mainly β crystal phase. With the increase of wind speed, the filtration efficiency of PPS/PVDF fiber membrane composite filter material exhibited a lesser decrease, which proves that the piezoelectric effect of PVDF fiber membrane improves the filtration efficiency of fine particles. As the temperature increases, the PVDF fiber membrane exhibits thermoelectricity, and the filtration efficiency of the composite filter material increases. When the temperature rises to 70 ℃, the filtration efficiency of the particles with a small size 0.3 μm can be maximally increased by 28.37%.

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    Management Science
    Reliability Analysis of FRP-Concrete-Steel Tubular Composite Column Under Axial Compression
    Hai-yang GAO, Lian-guang WANG, Bai-ling CHEN
    2024, 45 (3):  430-438.  DOI: 10.12068/j.issn.1005-3026.2024.03.016
    Abstract ( 752 )   HTML ( 15)   PDF (2272KB) ( 130 )  

    Several existing FRP-confined concrete strength models were evaluated by using 85 FRP?concrete?steel DSTC(double‐skin tubular column) axial compression test data as statistical samples. Finally, Teng’s model was selected for reliability analysis, and the optimal probability distributions of strength model error and resistance were determined. The reliability of DSTC was calculated using the JC method. The results show that the reliability index increases with the increase of steel tube strength, hollow ratio and steel ratio, while it is not significantly influenced by concrete strength. The increase in FRP confining stress leads to the decrease in reliability index. Based on the target reliability index of 3.7, a new expression of resistance partial factor is proposed for DSTC.

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    Mechanical Response Mechanism of Simply Supported Two-Way Reinforced Concrete Slab with In-plane Constraints Under Fire
    Fa-xing DING, Xiang-heng ZHA, Wen-jun WANG, Bin-hui JIANG
    2024, 45 (3):  439-448.  DOI: 10.12068/j.issn.1005-3026.2024.03.017
    Abstract ( 454 )   HTML ( 16)   PDF (2975KB) ( 115 )  

    The existing analysis methods lack a reasonable explanation for the cracking, deformation response, and the mechanism of fire resistance reduction caused by the internal confinement of the simply supported two‐way reinforced concrete slab with in‐plane constraints under the fire. Therefore, three‐dimensional solid finite element models of simply supported two‐way reinforced concrete slab with in‐plane constraints under fire in both temperature field and thermo‐mechanical coupling analysis were established using the ABAQUS software. On the basis of experimental verification, further parameter analysis was carried out to investigate the deflection, stress variation law, and mechanical response mechanism of steel bars and concrete. The results show that in the case of fire, the in‐plane constraining force weakens the inverted arch effect and tensile film effect of the plate, resulting in a significant decrease in fire resistance. An increase in unidirectional and two‐way in‐plane constraints, aspect ratio, and load ratio will shorten the duration of the inverted arch effect and tension membrane effect stages of plate.

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    Spatial Spillover Effect of Positive Feedback Trading in Stock Markets: Based on Econometric Test Under the Shock of COVID-19 Pandemic
    Shu-xi TIAN, Xiu-yu DING, Jian WANG
    2024, 45 (3):  449-456.  DOI: 10.12068/j.issn.1005-3026.2024.03.018
    Abstract ( 539 )   HTML ( 16)   PDF (1040KB) ( 162 )  

    Based on the spatial autocorrelation positive feedback trading model, the positive feedback trading was tested in the international stock markets around the outbreak of COVID?19 pandemic. The results showed that the positive feedback trading in the international stock markets enhanced significantly with spatial correlation after the outbreak of COVID?19 pandemic. Although the anti‐crisis regulatory measures once reversed the decline of stock markets, they also strengthened the irrational extrapolation expectations of investors and aggravated the space spillover effect of positive feedback trading in the stock markets. Therefore, facing the persistence of COVID?19 pandemic, the regulatory authorities should take better account of anti?crisis regulatory measures, which may affect investors’ psychological accounts and extrapolative expectations. Moreover, under the shock of COVID?19 pandemic, effective measures should be implemented to prevent the risk linkage due to the spatial spillover of positive feedback trading in the stock markets.

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