Home / Journals / ICCES / Vol.25, No.4, 2023
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  • Open AccessOpen Access

    PROCEEDINGS

    Spontaneous Imbibition Considering Fractal Theory and Dynamic Contact Angle in Tight Sandstone

    Jingjing Ping1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08787
    Abstract In the process of tight oil reservoir development, there are a lot of spontaneous imbibition phenomena which are beneficial to achieving the purpose of enhancing oil recovery. It is of great significance to study the law of spontaneous imbibition of oil and water at the pore scale of tight sandstone. In this paper, we study the law of spontaneous imbibition at the pore scale of tight sandstone by combining theoretical research and numerical simulation. Based on the fractal theory and the capillary bundle model, we establish a mathematical model of spontaneous imbibition in porous media More >

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    A Process Simulation Model of Oil and Gas Gathering System for Digital Requirements

    Jie Chen1, Wei Wang1,*, Wenyuan Sun1, Yuming He1, Shunchen Miu1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2022.08801
    Abstract Characteristic parameters of oil and gas gathering system (OGGS), such as the liquid holdup, flow rate and pressure of wells, fluctuate dynamically during the production cycle. Furthermore, with the call for energy transition and digitalization, it is critical to grasp the operation status of OGGS in real time. A generalized process simulation model for multi-phase gathering system was established by coupling several models (mass balance, pressure balance, hydraulic and thermal model of a single pipe, power and thermal equipment model, etc.). Because the hydraulic equation of the pipe contains nonlinear terms, the hydraulic model of… More >

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    A Phase-Field Fracture Model for Brittle Anisotropic Materials

    Zhiheng Luo1, Lin Chen2, Nan Wang1, Bin Li1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2022.08813
    Abstract Anisotropy is inherent in many materials, either because of the manufacturing process, or due to their microstructure, and can markedly influence the failure behavior. Anisotropic materials obviously possess both anisotropic elasticity and anisotropic fracture surface energy. Phase-field methods are elegant and mathematically well-grounded, and have become popular for simulating isotropic and anisotropic brittle fracture. Here, we developed a variational phase-field model for strongly anisotropic fracture, which accounts for the anisotropy both in elastic strain energy and in fracture surface energy, and the asymmetric behavior of cracks in traction and in compression. We implement numerically our… More >

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    PROCEEDINGS

    Multi-physics Simulation of Tar-Rich Coal in-situ Pyrolysis in the Fractured Porous Zone with Multi-Region Homogenization Treatment

    Qianhao Ye1, Mingjie Li1, Jingyuan Hao1, Zibo Huang1, Jinjia Wei1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08826
    Abstract The macroscopic tar-rich coal in-situ pyrolysis (TCISP) multi-physics simulation is conducted, in the fractured porous zone, by coupling heat transfer, fluid flow, and chemical reaction. A novel TCISP pattern of gas injection between fractured zones is proposed, by treating the fractured porous zone as a homogeneous porosity gradient descending region. In this case, nearly 11500 kg of oil can be produced within 6 months from a 10*10*1 m3 area. The influence of the fractured zone and porosity are investigated. Results indicated that gas injection between fractured zones is more conducive to rapid production, compared with More >

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    Hydrogels with Brain Tissue-Like Mechanical Properties in Complex Environments

    Jingyu Wang1,#, Yongrou Zhang4,#, Zuyue Lei1, Junqi Wang1, Yangming Zhao1, Taolin Sun3,*, Zhenyu Jiang1, Licheng Zhou1, Zejia Liu1, Yiping Liu1, Bao Yang1, Liqun Tang1,2,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2022.08829
    Abstract In surgical training applications and experimental research, brain tissues immersed in cerebrospinal fluid often involve very complex deformation and strain rate effects, which affects their reliability and stability. Thus, it is indispensable to develop a high-fidelity human brain tissue simulant material as a physical surrogate model to understand their mechanical behavior, such as traumatic brain injury (TBI). However, the reported simulant materials have not yet been able to compare and satisfy the above two mechanical properties. Here, we developed a novel composite hydrogel with brain tissue-like mechanical properties and investigated their mechanical behavior in a… More >

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    PROCEEDINGS

    Efficient and Robust Temperature Field Simulation of Long-Distance Crude Oil Pipeline Based on Bayesian Neural Network and PDE

    Weixin Jiang1,*, Qing Yuan2, Zongze Li3, Junhua Gong3, Bo Yu4
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.08861
    Abstract The hydraulic and thermal simulation of crude oil pipeline transportation is greatly significant for the safe transportation and accurate regulation of pipelines. With reasonable basic parameters, the solution of the traditional partial differential equation (PDE) for the axial soil temperature field on the pipeline can obtain accurate simulation results, yet it brings about a low calculation efficiency problem. In order to overcome the low-efficiency problem, an efficient and robust hybrid solution model for soil temperature field coupling with Bayesian neural network and PDE is proposed, which considers the dynamic changes of boundary conditions. Four models,… More >

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    Understanding the Micromechanical Behaviors of Particle-Reinforced Al Composite by Nonlocal Crystal Plasticity Modeling

    Haiming Zhang1,2,*, Shilin Zhao1,2, Zhenshan Cui1,2
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08884
    Abstract Particle-reinforced aluminum matrix composites (PRAMCs) have great potential for application in aerospace, automobile, defense, and electronics due to their high specific strength and stiffness and good resistance to wear and corrosion. Achieving a superior trade-off between the strength and ductility of PRAMCs necessitates an elaborative control of the microstructures, like the size and distribution of particles, as well as grain size, morphology, and texture of the matrix. The multiscale interaction between the particles and the matrix’s microstructure is insufficiently understood due to the lagging of high-resolved in-situ characterization. This work proposes a nonlocal physically based… More >

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    PROCEEDINGS

    Multi-resolution Topology Optimization Using B-spline to Represent the Density Field

    Zhenbiao Guo1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08904
    Abstract This work proposes a novel multi-resolution topology optimization method using B-spline to represent the density field, and overcomes the defects of tedious post-processing of element-based models and low computational efficiency of topology optimization for large-scale problems. The design domain embedded in the B-spline space is discretized with a coarser analysis mesh and a finer density mesh to reduce the computational cost of finite element analysis. As design variables, the coefficients of the control points control the shape of the B-spline. The optimized B-spline can be quickly and precisely converted into a CAD model. Sensitivity filtering More >

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    Magnetic Micropillar Structures for Programmable and Reprogrammable Actuation

    Ke Ni1, Zhengzhi Wang1,2,3,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.09248
    Abstract Stimuli-responsive micropillar structures that can perform dynamics and reversible deformations according to external stimuli have been applied in a wide spectrum of fields, including object manipulation, soft miniature robots, and functional surfaces. However, it remains a challenge to exhibit programmable actuation behaviors for applications that require on-demand deformation response. Herein, a two-step photomask-assisted template casting technique is developed to fabricate a hybrid magnetic micropillar array for programmable actuation. By modulating the spatial distribution of the magnetic nanoparticles within the elastomer micropillars, the bending deformations of the micropillars with different particle distributions can vary near one… More >

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    PROCEEDINGS

    Peridynamic Analysis on Thermal-Elastic Deformation of Isotropic Plate with Traction Boundary Condition

    Ming Yu1, Zeyuan Zhou1, Zaixing Huang1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09264
    Abstract How to well characterize traction boundary condition is always a difficult problem in peridynamics. In order to solve this problem, an integral term of boundary traction weighted by a tensor-typical transfer function is added to the original peridynamic motion equation, to form the so-called the traction-associated peridynamic motion equation. The traction-associated peridynamic motion equation is proved to be compatible with the conservation laws of linear and angular momentum. The conservation law of energy is also verified to have the same form as the original peridynamics advanced by Silling. Therefore, the constitutive models in the original… More >

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    PROCEEDINGS

    A Directional Fast Algorithm for Oscillatory Kernels with Curvelet-Like Functions

    Yanchuang Cao1, Jun Liu1, Dawei Chen1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09272
    Abstract Interactions of multiple points with oscillatory kernels are widely encountered in wave analysis. For large scale problems, its direct evaluation is prohibitive since the computational cost increases quadratically with the number of points.
    Various fast algorithms have been constructed by exploiting specific properties of the kernel function. Early fast algorithms, such as the fast multipole method (FMM) and its variants, H2-matrix, adaptive cross approximation (ACA), wavelet-based method, etc., are generally developed for kernels that are asymptotically smooth when source points and target points are well separated. For oscillatory kernels, however, the asymptotic smoothness criteria is only… More >

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    Identification of Constitutive Parameters for the Non-Local Damage Model of Soft Biological Tissues

    Taotao Yuan1, Haitian Yang1, Yiqian He1,2,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09275
    Abstract Computational modeling can provide insight into understanding the damage mechanisms of soft biological tissues, and identification of constitutive parameters is key issues in the computational modeling. On the other hand, although it is thought that computational model should be non-local for soft tissues based on the existence of intrinsic length scales, there is very few work for the identification of the parameters of nonlocal damage models of soft tissues. Firstly, we use the gradient-enhanced damage model presented in our previous publication showing advantages in considering the internal length scales and in satisfying mesh independence for More >

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    PROCEEDINGS

    Efficient Computational Inverse Method for Positioning Accuracy Estimation of Industrial Robot Under Stochastic Uncertainties

    Jinhe Zhang2, Jie Liu1,2,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.09279
    Abstract The small uncertainties of geometric parameters of industrial robot, which are caused by links manufacturing and service wear errors, can deteriorate the positioning accuracy of end-effector through multi-level propagation and is difficult to be measured and compensated by high-precision instruments. Hence, an efficient inverse identification method of parameter uncertainty based on global sensitivity analysis and optimal measurement point selection is proposed. In order to ensure the universality of identification results in calibration and control works, the standard Denavit-Hartenberg (D-H) method is employed to establish the kinematic model of series 6 degrees of freedom (DOF) robots.… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Peridynamic Investigation of Surface Stability in Stress-Assisted Corrosion

    Shuaiqi Fan1,*, Chenwen Tian2, Yunpeng Liu2, Ziguang Chen2
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09286
    Abstract The peridynamic stress-assisted corrosion model is used to study the stability of the corrosion front of metallic materials under tensile mechanical load. The results show that the solution diffusion trends to smooth the corrosion front, while stress corrosion roughens the corrosion front and leads to higher stress concentrations. Compared to the initial concave profile, the initial convex profile helps to reduce the stressassisted corrosion rate and reduces the role of stress in stress-assisted corrosion. The critical stress of stress-assisted corrosion is introduced in the research, below which the roughness of the corrosion front gradually decreases,… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Optimal Plasma Plume Detumbling and Prescribed Performance Control for Tumbling Spacecraft

    Hongqian Zhao1,2, Honghua Dai1,2,*, Xiaokui Yue1,2
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09294
    Abstract Detumbling is a crucial first step for on-orbit service and space debris removal. Plume is an efficient medium for failed spacecraft detumbling which can avoid direct contact to ensure the safety of the spacecraft. However, traditional molecular plume may lead to an unaffordable fuel consumption. This paper proposes a novel detumbling strategy by using plasma plume with the popularization of Hall effect thrusters on spacecraft. To overcome the difficulty of real-time calculation in traditional models, a fully analytical plasma plume model is established which can improve the autonomy of the chaser[1]. An optimal detumbling guidance… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Detection of Fatigue Cracks in Metal Material Based on Peridynamic Differential Operator

    Jiaming Liang1, Qizheng Wang1, Yile Hu1, Yin Yu1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09307
    Abstract The most common form of damage in aircraft structures is fatigue damage. Accurate detection of fatigue crack tip is the cornerstone for prediction of crack propagation path and the basis for calculation of residual strength and stiffness. It is of great significance to improve structural fatigue resistance design. When simulating the crack growth problem based on the traditional method, the crack tip needs to be re-meshed so that resulting in low calculation efficiency. The expansion of fatigue cracks has a complex shape, for example, the fatigue crack damage on the aircraft skin often shows a… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Energy Relations in the Phase Field Approach to Fracture

    Yongxing Shen1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09314
    Abstract The phase field approach to fracture originates from the variational formulation of brittle fracture proposed by Francfort and Marigo. The regularized version of the latter formulation by Bourdin et al. is also dubbed the phase field approach to fracture. Compared with explicit crack methods such as the extended finite element method, the phase field approach to fracture does not require additional criteria for crack simulation and can naturally simulate complex fracture behaviors such as crack initiation, propagation, branching and merging with a fixed mesh and fixed shape functions. This work examines the energy relations in… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Can Surface Structure Manipulate Mechanical and Thermal Properties of MXenes?

    Xin Yan1,*, Yu Chen1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09330
    Abstract As a novel type of transition metal-based 2D materials, the most popular MXene (Ti3C2Tx,where T is a surface termination, typically O, OH, and/or F) has been endowed amazing prospects in versatile fields, including energy storage, electromagnetic interference shielding, electronics and photon-detectors. At the same time, the inevitable oxidation structure observed in experiment also affect the property of MXene. With the help of the surface termination and surface oxidation, MXene showed diversity magnetic, electronic and optical behavior. However, our knowledge about the fundamental thermal and mechanical properties of MXene is limited, especially regarding the effect of surface… More >

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    PROCEEDINGS

    Explicit Dynamics Simulation and Design of Sandwich Composite Structures Reinforced by Multilayer Lattice

    Yadong Zhou1,*, Yile Zhang1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09333
    Abstract Dynamic simulation and design of complex composite structures with energy-absorbing lattice are critically important for aircraft applications. In this study, high-velocity impact behaviors (deformation and damage modes) of sandwich composite structures with multilayer lattice are numerically studied by using explicit dynamics computation. First, the modeling strategy for sandwich composite panels with the multilayer lattice and foam core is developed by using Finite Element Method (FEM). In FEM model, the beam, shell, and solid elements are applied together for both the computational accuracy and efficiency. The unit cell model of the lattice is used considering the More >

  • Open AccessOpen Access

    PROCEEDINGS

    An Efficient Solution Strategy for Phase Field Model of Dynamic Fracture Problems Based on Domain Decomposition

    Shourong Hao1, Yongxing Shen1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09336
    Abstract Dynamic fracture is an important class of damage widely present in engineering materials and structures, e.g., high-speed impact and explosion. In recent years, the phase field approach to fracture proposed by Bourdin et al. [1] becomes popular for complicated fracture problems for its ability to simulate crack nucleation, propagation, branching, and merging without extra criteria, and the crack path does not need to be tracked, which makes the implementation straightforward and the calculation efficient. However, one of the major issues of the phase field method is the high computational cost due to the need of… More >

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