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  • Open Access

    PROCEEDINGS

    A Novel Topology Optimization Method for Local Relative Displacement Difference Minimization

    Jinyu Gu1, Jinping Qu1, Yingjun Wang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09161

    Abstract In the topology optimization problem of mechanical structures, the optimization objectives are mainly focused on the compliance minimization, displacement minimization, stress minimization, and so on. However, in practical engineering, these kinds of optimization objectives do not meet all the requirements. Some structures, such as wind turbine blades and engine blades of aircrafts, are required to maintain a superior aerodynamic shape under external loads. This puts a higher requirement on the local deformation homogenization of the structure. Therefore, we proposed a topology optimization method for the minimization of local relative displacement differences considering stress constraints. First, we present a specific topology… More >

  • Open Access

    PROCEEDINGS

    Molecular Dynamics Simulations of Displacement Cascade near Precipitate in Zirconium Alloys

    Xin Wang1,*, H. Fan1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09986

    Abstract Precipitates play an important role in the evolution of irradiation-induced defects and mechanical property of irradiated metals. In this work, the effects of a Zr2Cu precipitate on the production and subsequent evolution of cascade-induced point defects (vacancies and interstitials) in ZrCu alloy were investigated by molecular dynamics simulations at room temperature. The simulation results show that the precipitate increases the number of residual point defects at the end of cascade. However, most of the residual defects reside in the precipitate and near precipitate boundary. In the matrix, more interstitials survive than vacancies. In addition, a defect-free region is seen in… More >

  • Open Access

    ARTICLE

    Reciprocal Association between Psychological Distress and PTSD and Their Relationship with Pre-Displacement Stressors among Displaced Women

    Erhabor S. Idemudia1, Babatola D. Olawa1,*, Gail E. Wyatt2, Norweeta G. Milburn2

    International Journal of Mental Health Promotion, Vol.25, No.5, pp. 699-710, 2023, DOI:10.32604/ijmhp.2023.026852

    Abstract It is established in the psychological literature that pre-displacement stressors, PTSD symptoms, and psychological distress are associated among internally displaced persons. However, existing studies have not demonstrated the mechanism underlying these associations. This study compared two explanatory models; one with PTSD symptoms severity explaining the indirect association between pre-displacement stressors and psychological distress, and the other with psychological distress explaining the indirect relationship between pre-displacement stressors and PTSD symptoms severity. In a cross-sectional design, 631 women (Mean age = 31.18 ± 8.59) were conveniently and purposely selected from the displaced women harboured in two camps in Borno State, Nigeria, due… More >

  • Open Access

    ARTICLE

    Ensemble Model for Spindle Thermal Displacement Prediction of Machine Tools

    Ping-Huan Kuo1,2, Ssu-Chi Chen1, Chia-Ho Lee1, Po-Chien Luan2, Her-Terng Yau1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 319-343, 2023, DOI:10.32604/cmes.2023.026860

    Abstract Numerous factors affect the increased temperature of a machine tool, including prolonged and high-intensity usage, tool-workpiece interaction, mechanical friction, and elevated ambient temperatures, among others. Consequently, spindle thermal displacement occurs, and machining precision suffers. To prevent the errors caused by the temperature rise of the Spindle from affecting the accuracy during the machining process, typically, the factory will warm up the machine before the manufacturing process. However, if there is no way to understand the tool spindle's thermal deformation, the machining quality will be greatly affected. In order to solve the above problem, this study aims to predict the thermal… More >

  • Open Access

    ARTICLE

    Experimental Research on the Millimeter-Scale Distribution of Oil in Heterogeneous Reservoirs

    Zhao Yu1,2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1521-1534, 2023, DOI:10.32604/fdmp.2023.023296

    Abstract Oil saturation is a critical parameter when designing oil field development plans. This study focuses on the change of oil saturation during water flooding. Particularly, a meter-level artificial model is used to conduct relevant experiments on the basis of similarity principles and taking into account the layer geological characteristics of the reservoir. The displacement experiment’s total recovery rate is 41.35%. The changes in the remaining oil saturation at a millimeter-scale are examined using medical spiral computer tomography principles. In all experimental stages, regions exists where the oil saturation decline is more than 10.0%. The shrinkage percentage is 20.70% in the… More >

  • Open Access

    ARTICLE

    Isogeometric Analysis of Longitudinal Displacement of a Simplified Tunnel Model Based on Elastic Foundation Beam

    Zhihui Xiong*, Lei Kou, Jinjie Zhao, Hao Cui, Bo Wang

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 803-824, 2023, DOI:10.32604/cmes.2023.024833

    Abstract Serious uneven settlement of the tunnel may directly cause safety problems. At this stage, the deformation of the tunnel is predicted and analyzed mainly by numerical simulation, while the commonly used finite element method (FEM) uses low-order continuous elements. Therefore, the accuracy of tunnel settlement prediction is not enough. In this paper, a method is proposed to study the vertical deformation of the tunnel by using the combination of isogeometric analysis (IGA) and Bézier extraction operator. Compared with the traditional IGA method, this method can be easily integrated into the existing FEM framework, and ensure the same accuracy. A numerical… More >

  • Open Access

    ARTICLE

    Numerical Simulation and Field Monitoring Analysis for Deep Foundation Pit Construction of Subway Station

    Longyu Zhang, Jiming Zhu*

    Structural Durability & Health Monitoring, Vol.16, No.4, pp. 397-416, 2022, DOI:10.32604/sdhm.2022.010397

    Abstract To investigate the effect of deep foundation pit excavation on the stability of retaining structure, a subway station in the city of Jinan was selected as a project, and a FLAC3D-based three dimensional model was developed for numerical simulation. The horizontal displacement of the retaining structure, the axial force of the support, and the vertical displacement of the column were studied and compared to the collected data from the field. The findings indicate that when the foundation pit is excavated, the maximum deformation of the retaining structure progressively decreases from the top, the distortion of the retaining structure gradually rises,… More >

  • Open Access

    ARTICLE

    Displacement Field Variable Modeling Method for Heterogeneous Materials in Wind Power Blade Core Plates

    Ying He, Yongshuang Wen*, Xuemei Huang, Leian Zhang, Rujun Song, Chang Li

    Energy Engineering, Vol.120, No.2, pp. 445-459, 2023, DOI:10.32604/ee.2022.022223

    Abstract In order to study the mechanical properties of the heterogeneous core plate of the wind turbine blade, a modeling method of the core plate based on displacement field variables is proposed. Firstly, the wind turbine blade core plate was modeled according to the theory of modeling heterogeneous material characteristics. Secondly, the three-point bending finite element model of the wind turbine blade core plate was solved by the display dynamic equation to obtain the deformation pattern and force-deformation relationship of the core plate. Finally, the three-point bending static test was conducted to compare with the finite element analysis. The test results… More >

  • Open Access

    ARTICLE

    Experimental Study and Numerical Simulation of Polymer Flooding

    Lei Bai1,2, Kai Li1,2,*, Ke Zhou3, Qingshan Wan1,2, Pengchao Sun1,2, Gaoming Yu3, Xiankang Xin3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1815-1826, 2022, DOI:10.32604/fdmp.2022.020271

    Abstract The numerical simulation of polymer flooding is a complex task as this process involves complex physical and chemical reactions, and multiple sets of characteristic parameters are required to properly set the simulation. At present, such characteristic parameters are mainly obtained by empirical methods, which typically result in relatively large errors. By analyzing experimentally polymer adsorption, permeability decline, inaccessible pore volume, viscosity-concentration relationship, and rheology, in this study, a conversion equation is provided to convert the experimental data into the parameters needed for the numerical simulation. Some examples are provided to demonstrate the reliability of the proposed approach. More > Graphic Abstract

    Experimental Study and Numerical Simulation of Polymer Flooding

  • Open Access

    ARTICLE

    Depression Detection on COVID 19 Tweets Using Chimp Optimization Algorithm

    R. Meena1,*, V. Thulasi Bai2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1643-1658, 2022, DOI:10.32604/iasc.2022.025305

    Abstract The Covid-19 outbreak has an unprecedented effects on people's daily lives throughout the world, causing immense stress amongst individuals owing to enhanced psychological disorders like depression, stress, and anxiety. Researchers have used social media data to detect behaviour changes in individuals with depression, postpartum changes and stress detection since it reveals critical aspects of mental and emotional diseases. Considerable efforts have been made to examine the psychological health of people which have limited performance in accuracy and demand increased training time. To conquer such issues, this paper proposes an efficient depression detection framework named Improved Chimp Optimization Algorithm based Convolution… More >

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