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    25 January 2023, Volume 40 Issue 1 Previous Issue    Next Issue

    Research Reports   
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    Research Reports
    Parallel Two-level Stabilized Finite Element Algorithms for Unsteady Navier-Stokes Equations
    Zhanhuang WANG, Bo ZHENG, Yueqiang SHANG
    2023, 40(1): 14-28.  DOI: 10.19596/j.cnki.1001-246x.8546
    Abstract ( )   HTML ( )   PDF (10317KB) ( )  

    In numerical solution of unsteady Navier-Stokes equations with standard finite element method, errors of computed velocity are usually affected by pressure errors, where smaller viscosity coefficients lead to greater velocity errors. To improve pressurerobustness, in this paper, we introduce a grad-div stabilization term to improve accuracy of approximate solutions. We present parallel two-level grad-div stabilized finite element algorithms for unsteady Navier-Stokes equations, where implicit Euler scheme and Galerkin finite element methods are used for temporal and spatial discretizations, respectively. At each time step, firstly we solve a nonlinear Navier-Stokes problem with grad-div stabilization on a coarse grid, and then linearized and grad-div stabilized problems are solved with Stokes, Oseen and Newton iterations on overlapping fine grid subdomains in a parallel manner to correct the coarse grid solution. Finally, numerical experiments are given to verify correctness of theoretical predictions and demonstrate effectiveness of the algorithms.

    Performance of Numerical Calculation of Transport Equations of Scrape-off Layer Plasma: Pressure Correction Algorithms
    Renzhu ZHU, Jiafeng HE, Taihao HUANG, Xinglei RUAN, Yuchen XU, Jin GUO, Tianyuan LIU, Shifeng MAO, Minyou YE
    2023, 40(1): 29-39.  DOI: 10.19596/j.cnki.1001-246x.8525
    Abstract ( )   HTML ( )   PDF (9960KB) ( )  

    Test codes are programmed with C++ to study influence of pressure correction algorithms, including SIMPLE (Semi-Implicit Method for Pressure Linked Equations), SIMPLEC (SIMPLE Consistent), SIMPLER (SIMPLE Revised), SIMPLEX (SIMPLE Extrapolation) and PISO (Pressure-Implicit with Splitting of Operators), on numerical solution performance of Braginskii transport equation for scrape-off layer plasma. Plasma model equations of SOLPS (Scrape-Off Layer Plasma Simulation) are adopted in the test codes. Numerical calculations are carried out on a simplified slab model. It was found that all of the pressure correction algorithms make the program converge to correct results. The fastest convergence speed is achieved with PISO. There is no significant difference in the convergence speed of SIMPLE, SIMPLEC, SIMPLER and SIMPLEX algorithms.

    First-principles Study of Structures, Mechanical Properties and Electronic Properties of Quaternary Hf-Ta-C-N System
    Xiang CHENG, Junwei FENG, Tikhonov EVGENII
    2023, 40(1): 40-46.  DOI: 10.19596/j.cnki.1001-246x.8543
    Abstract ( )   HTML ( )   PDF (5821KB) ( )  

    Based on evolutionary algorithm and first-principles calculation, crystal structures of quaternary compound HfxTa8-xC7N (x=1-7) were predicted. Similar to binary HfC and TaC, these compounds have a rock-salt structure. The calculation of mechanical properties shows that: With the increase of valence electron concentration (VEC), the bulk modulus of HfxTa8-xC7N increased gradually; At VEC=8.875, the shear modulus and elastic modulus are the largest; The Vickers hardness reaches the maximum at VEC=8.25. Therefore, the quaternary HfxTa8-xC7N compounds with excellent comprehensive mechanical properties can be obtained with the design of VEC. Finally, electronic properties of HfxTa8-xC7N compounds were calculated. Relations between mechanical properties and electronic properties were analyzed.

    Numerical Simulation of Lubrication Characteristics of Journal Bearings Under Oil-air Mixed Lubrication
    Liqing FANG, Hao ZHANG, Sushuang SHI, Mingchuan WANG, Dongliang CHEN, Zhanqun SHI
    2023, 40(1): 47-56.  DOI: 10.19596/j.cnki.1001-246x.8553
    Abstract ( )   HTML ( )   PDF (4357KB) ( )  

    With assumption that the lubricant is a mixture of fluid and bubble nuclei and its distribution is homogeneous, we introduce a dynamic model of cavitation and couple it with Reynolds equation of hydrodynamic lubrication of plain bearings. The model under lubrication state is sovled with numerical simulation. Euler method, a 4-5th order Runge-Kutta method and a finite difference method are used to explore effect of initial gas content on axis trajectory and lubrication characteristics.

    Flow Characteristic Analysis of Pipe Flow and Turbulence Model Coefficient Correction Based on Data-driven
    Weiguang LIANG, Jianbing SANG, Hongyan TIAN, Wenjie DUAN, Yaping TAO, Fengtao LI
    2023, 40(1): 57-66.  DOI: 10.19596/j.cnki.1001-246x.8517
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    To improve accuracy of the Reynolds-averaged Navier-Stokes (RANS) turbulence model simulation, relevant parameters in the standard k-ε model control equation are predicted and modified based on artificial neural networks (ANN). An investigation is analyzed for how the fluid field is affected by the wall injection as part of accuracy improvement processes. After initializing the finite element (FE) model of the fluid field, a standard k-ε turbulence model is used to perform relevant turbulent calculations. Meanwhile, circumstances of how wall injection affected the fluid field in the pipe are also added in the FE model. Transformations of the fluid are analyzed by the FE method. Thus, velocity field distribution after the wall injection is interpreted. Moreover, a neural network(NN) intelligent algorithm is established to predict standard k-ε model parameters. The NN model′s input is considered as a ratio of the velocity component in the streamwise direction and the average velocity of the fluid in the pipe. Parameters in the turbulence model control equation are network′s outputs. Thus, the network predicts standard k-ε model control equation parameters to describe the velocity field trend. The final step is retrieving the outcome parameters into the FEM calculation. Comparing with experiment data, simulation accuracy of the velocity field is significantly improved with the modified turbulence model. It shows that predicting and adjusting the standard k-ε model control equation parameters improves simulation accuracy of the velocity field trends.

    An Efficient Approach for Automatic Well-testing Interpretation Based on Surrogate Model and Deep Reinforcement Learning
    Peng DONG, Xinwei LIAO
    2023, 40(1): 67-80.  DOI: 10.19596/j.cnki.1001-246x.8533
    Abstract ( )   HTML ( )   PDF (13302KB) ( )  

    A deep reinforcement learning (DRL) based approach is proposed for automatic interpretation of well-testing curves. Based on a deep deterministic policy gradient (DDPG) algorithm, the proposed DRL approach is successfully applied to automatic matching of four different types of well-testing curves. To improve training efficiency, a surrogate well-testing model based on LSTM neural network was established. With episodic training, through interaction with the surrogate model the agent converged finally to an optimal curve matching policy on different well-testing models. It shows that the average relative error of the curve parameter interpretation is 5.51%. Additionally, the proposed DRL approach has a high calculation speed, and the average computing time is 0.27 seconds. In case study applications, the proposed method achieved an average relative error of 4.32% in parameter interpretation, which shows reliability of the method.

    Numerical Simulation of Fracture-flooding with Virtual Element Method in a Continuous Damage Model
    Luming CHA, Qihong FENG, Sen WANG, Shiqian XU, Gaowen LIU, Wenhuan HUANG
    2023, 40(1): 81-90.  DOI: 10.19596/j.cnki.1001-246x.8538
    Abstract ( )   HTML ( )   PDF (7257KB) ( )  

    Based on Biot linear elastic theory, we established constitutive equations of interaction between fluid. A rock and virtual element method was employed to solve the discrete seepage equations. Meanwhile, in a continuous damage model, a damage factor was introduced and corresponding failure criterion was established to describe quantitatively the fracture propagation. Furthermore, influence factors of fracture-flooding in a low permeability reservoir were investigated in typical well patterns. It shows that the coupled method simulates fracture propagation effectively during the fracture-flooding process. It also revealed that large water injection improves effectively oil-water seepage capacity in the matrix, expands the water flooding area, and improves significantly recovery rate of the well pattern. Additionally, fracture-flooding activates quickly the nature fracture system in the formation of an effective propagation system. Early fracture-flooding maintains a higher formation pressure, increases the cumulative oil production and reduces the rate of decline in production, thereby improving the ultimate recovery rate of the reservoir.

    Multivariable Function Projective Synchronization of High Dimensional Chaotic Systems and Its Secure Communication Scheme
    Zhenbo LI, Yezhi TANG
    2023, 40(1): 91-105.  DOI: 10.19596/j.cnki.1001-246x.8550
    Abstract ( )   HTML ( )   PDF (16073KB) ( )  

    A modified function projective synchronization scheme, multivariable function projective synchronization, is proposed. Different from existing function projective synchronization schemes whose scaling factor is unary function, the scaling factor discussed in this scheme is multivariable function. It implies that synchronization behavior of the proposed scheme is more complicated and more unpredictable. The driver and responding system show correlation in a higher dimension. With modified active control method, controller of the synchronization is designed. In numerical simulations, four-dimensional energy resources system and a new hyperchaotic Chua system are investigated. Multivariable function projective synchronization with two types of scaling factor between two systems are achieved. Based on the synchronization, a secure communication scheme is designed. A secure communication simulation is carried out with sinusoidal signal and gray image signal as information signals. Meanwhile, anti-noise simulation is performed with a wavelet threshold denoising algorithm. It shows that the synchronization method is feasible, and the secure communication scheme is effective.

    Initial Offset Boosting Dynamics in A Memristive Hopfield Neural Network and Its Application in Image Encryption
    Liang SUN, Jia LUO, Yinhu QIAO
    2023, 40(1): 106-116.  DOI: 10.19596/j.cnki.1001-246x.8547
    Abstract ( )   HTML ( )   PDF (32101KB) ( )  

    A memristive Hopfield neural network (HNN) model is proposed in which an improved multi-stable memristor is used to simulate coupled neuron synapses. Dynamical behavior of the model is analyzed and simulated with bifurcation diagram, Lyapunov exponential spectrum, phase plot and Poincare section. It shows that the memristive HNN generates chaotic attractors with different topologies and generates initial offset boosting highly dependent on initial value of the memristor. Finally, a chaotic image encryption scheme is designed based on the memristive HNN. The histogram, correlation, information entropy and key sensitivity are analyzed. It shows that the image encryption scheme resists effectively various internal and external statistical analysis attacks and has higher security.

    Effects of Conduction Block and Reentry on Evolution of Spiral Waves
    Chengqian LI, Furong GUAN, Minyi DENG
    2023, 40(1): 117-126.  DOI: 10.19596/j.cnki.1001-246x.8552
    Abstract ( )   HTML ( )   PDF (12503KB) ( )  

    We study conduction block and reentry induced by conduction velocity restitution, and their effects on the evolution of spiral waves. Simulation shows that the shape of stable spiral waves, Eckhaus instability and Doppler instability of spiral waves are associated with conduction block and reentry. The stable spiral wave exhibits concave or rhombic shape as the conduction block reduces its symmetry. The Eckhaus instability of spiral waves emerges as serious conduction blocks and the accompanying reentry initiated far from the spiral wave tip. In the case that serious conduction blocks begin near the spiral wave tip, the spiral wave meanders, and then the wave arms near the tip compress in one direction but elongate in other direction, which lead to the Doppler instability of spiral waves. This work tries to expound mechanisms of the evolution of spiral waves in the sight of cellular and electrical level.

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