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  • Open Access

    PROCEEDINGS

    Uniaxial Compressive Mechanical Properties of Three-Dimensional Graphene: Theoretical Models and Molecular Dynamics Simulations

    Xinliang Li1, Jiangang Guo1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09484

    Abstract As the first two-dimensional (2D) material discovered in experiments, graphene has attracted increasing attention from the scientific community [1]. And it possesses many superb mechanical, electronic and optical properties [2-4] due to its unique atomic structure. Its Young’s modulus and failure strength are 1TPa and 130GPa [5], respectively. Thus, 2D graphene has been extensively used in nanosensors and nanocomposites [6-8], etc. In order to fabricate graphene-based devices which inherit outstanding properties of 2D graphene, materials scientists are trying to use 2D graphene as building blocks to construct three-dimensional (3D) carbon nanomaterials, such as 3D graphene networks [9-11]. Nowadays, these 3D… More >

  • Open Access

    PROCEEDINGS

    Three-Dimensional Numerical Manifold Method for Low-Speed Impact Simulation of PBXs

    Ge Kang1,*, Qiumeng Ouyang1, Pengwan Chen1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010508

    Abstract It is of great significance to study the dynamic mechanical response of explosive charge to ensure the safety and reliability of weapon system. The manifold method is a novel numerical theory proposed in recent years to simulate the static and dynamic mechanical behavior of solid material. In the present work, a threedimensional numerical manifold software (3D-NMM) based on continuous-discontinuous coupled theory is developed to solve the impact response of PBX. Firstly, based on the 3D finite element topology, a four-node tetrahedral coverage system is established, and the shape function and displacement function, element stiffness matrix and inertial force matrix of… More >

  • Open Access

    PROCEEDINGS

    Solar Energy Storage in Deep Saline Aquifers: Three-Dimensional HydroThermo Modeling and Feasibility Analyses

    Yanyong Wang1,2, Kunpeng Zhong1, Xiaoguang Wang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09443

    Abstract The storage of solar energy in the subsurface in terms of heat is considered as a promising way for energy storage and conversion in future, which has a great potential to solve the temporal and spatial mismatch between energy demand and supply. Thermal energy storage in deep saline aquifers is capable to convert intermittent solar energy into high temperature stable geothermal energy. In this study, we propose a new solar energy storage and conversion system in which solar energy is firstly converted into heat using parabolic trough and then thermal energy storage in deep saline aquifer is conducted by high… More >

  • Open Access

    PROCEEDINGS

    Quasi-Two-Dimensional Gold Nanosheets with Ultrahigh Strength

    Tong Zhang1, Binglun Yin1,2, Pan Wang3, Yang Gao1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.010131

    Abstract Solid gold usually holds face-centered-cubic structure and relatively low strength of 102 MPa. When the dimension is reduced to the nanoscale, the strength of metal should increase accordingly, due to size effect or complex nanostructures [1-3]. However, reported maximum strength in gold nanostructures is yet considerably lower than the ideal strength (~6 GPa), referring to the stress at elastic instability in a defectfree crystal with infinite dimensions [3-5]. Herein, the ideal strength of gold is experimentally achieved in a quasi-two-dimensional defect-free single crystalline nanosheet with hexagonal-close-packed (HCP) structure. Ultrathin gold nanosheets with a high aspect ratio (lateral size >101 μm,… More >

  • Open Access

    PROCEEDINGS

    Three-Dimensional Numerical Simulation of Large-Scale LandslideGenerated Surging Waves with a GPU‒Accelerated Soil‒Water Coupled SPH Model

    Can Huang1,*, Xiaoliang Wang1, Qingquan Liu1, Huaning Wang2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09824

    Abstract Soil‒water coupling is an important process in landslide-generated impulse waves (LGIW) problems, accompanied by large deformation of soil, strong interface coupling and three-dimensional effect. A meshless particle method, smooth particle hydrodynamics (SPH) has great advantages in dealing with complex interface and multiphase coupling problems. This study presents an improved soil‒water coupled model to simulate LGIW problems based on an open source code DualSPHysics (v4.0). Aiming to solve the low efficiency problem in modeling real large-scale LGIW problems, graphics processing unit (GPU) acceleration technology is implemented into this code. An experimental example, subaerial landslidegenerated water waves, is simulated to validate this… More >

  • Open Access

    ARTICLE

    Nail Holding Performance of Self-Tapping Screws on Masson Pine and Chinese Fir Dimension Lumbers

    De Li1,#, Bengang Zhang1,#, Yuan Tu1, Guoming Xiao1, Meifen Tian2, Xiaoxue Xu1, Xiao Zhong1, Qiaoyan Zhang3, Zhigang Wu1,*, Jiankun Liang4,*

    Journal of Renewable Materials, Vol.11, No.10, pp. 3725-3738, 2023, DOI:10.32604/jrm.2023.027895

    Abstract Screw connection is a type most commonly applied to timber structures. As important commercial tree species in China, Masson pine and Chinese fir have the potential to prepare wood structures. In this study, the effects of the diameter of the self-tapping screw and the guiding bores on the nail holding performance on different sections of Masson pine and Chinese fir dimension lumbers were mainly explored. The results showed that: (1) The nail holding strength of the tangential section was the maximum, followed by that of the radial section, and that of the cross section was the minimum. (2) The nail… More >

  • Open Access

    ARTICLE

    Spatio-Temporal Characteristics of Heat Transfer of Methanation in Fluidized Bed for Pyrolysis and Gasification Syngas of Organic Solid Waste

    Danyang Shao1, Xiaojia Wang1,*, Delu Chen1, Fengxia An1,2

    Journal of Renewable Materials, Vol.11, No.10, pp. 3659-3680, 2023, DOI:10.32604/jrm.2023.029220

    Abstract Methanation is an effective way to efficiently utilize product gas generated from the pyrolysis and gasification of organic solid wastes. To deeply study the heat transfer and mass transfer mechanisms in the reactor, a successful three-dimensional comprehensive model has been established. Multiphase flow behavior and heat transfer mechanisms were investigated under reference working conditions. Temperature is determined by the heat release of the reaction and the heat transfer of the gas-solid flow. The maximum temperature can reach 951 K where the catalyst gathers. In the simulation, changes in the gas inlet velocity and catalyst flow rate were made to explore… More >

  • Open Access

    ARTICLE

    Research on Low Voltage Series Arc Fault Prediction Method Based on Multidimensional Time-Frequency Domain Characteristics

    Feiyan Zhou1,*, Hui Yin1, Chen Luo2, Haixin Tong2, Kun Yu2, Zewen Li2, Xiangjun Zeng2

    Energy Engineering, Vol.120, No.9, pp. 1979-1990, 2023, DOI:10.32604/ee.2023.029480

    Abstract The load types in low-voltage distribution systems are diverse. Some loads have current signals that are similar to series fault arcs, making it difficult to effectively detect fault arcs during their occurrence and sustained combustion, which can easily lead to serious electrical fire accidents. To address this issue, this paper establishes a fault arc prototype experimental platform, selects multiple commonly used loads for fault arc experiments, and collects data in both normal and fault states. By analyzing waveform characteristics and selecting fault discrimination feature indicators, corresponding feature values are extracted for qualitative analysis to explore changes in time-frequency characteristics of… More > Graphic Abstract

    Research on Low Voltage Series Arc Fault Prediction Method Based on Multidimensional Time-Frequency Domain Characteristics

  • Open Access

    ARTICLE

    Dimensionality Reduction Using Optimized Self-Organized Map Technique for Hyperspectral Image Classification

    S. Srinivasan, K. Rajakumar*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2481-2496, 2023, DOI:10.32604/csse.2023.040817

    Abstract

    The high dimensionalhyperspectral image classification is a challenging task due to the spectral feature vectors. The high correlation between these features and the noises greatly affects the classification performances. To overcome this, dimensionality reduction techniques are widely used. Traditional image processing applications recently propose numerous deep learning models. However, in hyperspectral image classification, the features of deep learning models are less explored. Thus, for efficient hyperspectral image classification, a depth-wise convolutional neural network is presented in this research work. To handle the dimensionality issue in the classification process, an optimized self-organized map model is employed using a water strider optimization… More >

  • Open Access

    ARTICLE

    3D-CNNHSR: A 3-Dimensional Convolutional Neural Network for Hyperspectral Super-Resolution

    Mohd Anul Haq1,*, Siwar Ben Hadj Hassine2, Sharaf J. Malebary3, Hakeem A. Othman4, Elsayed M. Tag-Eldin5

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2689-2705, 2023, DOI:10.32604/csse.2023.039904

    Abstract Hyperspectral images can easily discriminate different materials due to their fine spectral resolution. However, obtaining a hyperspectral image (HSI) with a high spatial resolution is still a challenge as we are limited by the high computing requirements. The spatial resolution of HSI can be enhanced by utilizing Deep Learning (DL) based Super-resolution (SR). A 3D-CNNHSR model is developed in the present investigation for 3D spatial super-resolution for HSI, without losing the spectral content. The 3D-CNNHSR model was tested for the Hyperion HSI. The pre-processing of the HSI was done before applying the SR model so that the full advantage of… More >

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