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  • Open Access

    ARTICLE

    Virtual Assembly Collision Detection Algorithm Using Backpropagation Neural Network

    Baowei Wang1,2,*, Wen You2

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1085-1100, 2024, DOI:10.32604/cmc.2024.055538 - 15 October 2024

    Abstract As computer graphics technology continues to advance, Collision Detection (CD) has emerged as a critical element in fields such as virtual reality, computer graphics, and interactive simulations. CD is indispensable for ensuring the fidelity of physical interactions and the realism of virtual environments, particularly within complex scenarios like virtual assembly, where both high precision and real-time responsiveness are imperative. Despite ongoing developments, current CD techniques often fall short in meeting these stringent requirements, resulting in inefficiencies and inaccuracies that impede the overall performance of virtual assembly systems. To address these limitations, this study introduces a… More >

  • Open Access

    PROCEEDINGS

    Dynamic Crack Propagation of Ceramic Materials under High Temperature Thermal Shock

    Biao Xia1,2, Changxing Zhang2,3,*, Zhanli Liu2, Xue Feng2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012764

    Abstract Ceramics has become one of the most promising candidate materials in the aerospace field due to its advantages of high melting point, corrosion resistance, wear resistance, and high-temperature stability [1,2]. However, the inherent brittleness of ceramics makes it prone to thermal shock failure under high-temperature extreme environments, which can lead to sudden catastrophic accidents in the structure [3-6]. This paper takes the high-temperature resistant ceramic materials in the aerospace industry as the research object. And the dynamic crack propagation mechanism is analyzed. Through the computational method based on the extended finite element method (XFEM), the… More >

  • Open Access

    PROCEEDINGS

    Simulation of Underwater Explosion Shock Wave Propagation in Heterogeneous Fluid Field

    Yuntao Lei1, Wenbin Wu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011365

    Abstract The underwater explosion could cause the serious damage to the naval ships. Investigating the underwater explosion problem is crucial for the development of marine military power. During the recent years, the underwater explosion dynamics in the homogeneous fluid field has been investigated by lots of researchers. However, there often exist sound speed thermoclines in the real ocean environment, which leads to a more complex fluid environment than the homogeneous fluid. The corresponding numerical calculations become more complicated. In order to fully understand the underwater explosion dynamics in the real ocean environment, we perform the numerical… More >

  • Open Access

    PROCEEDINGS

    Distribution Transport: A High-Efficiency Method for Orbital Uncertainty Propagation

    Changtao Wang1, Honghua Dai1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.010943

    Abstract Orbital uncertainty propagation is fundamental in space situational awareness-related missions such as orbit prediction and tracking. Linear models and full nonlinear Monte Carlo simulations were primarily used to propagate uncertainties [1]. However, these methods hampered the application due to low precision and intensive computation. Over the past two decades, numerous nonlinear uncertainty propagators have been proposed. Among these methods, the state transition tensor (STT) method has been widely used due to its controllable accuracy and high efficiency [2]. However, this method has two drawbacks. First, its semi-analytical formulation is too intricate to implement, which hinders… More >

  • Open Access

    PROCEEDINGS

    Phase-Field Modeling of Interfacial Fracture in Quasicrystal Composites

    Hongzhao Li1, Peidong Li1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012711

    Abstract Quasicrystals (QCs) are a new class of functional and structural materials with unusual properties, which have quasi-periodic translational symmetry and non-crystallographic rotational symmetry. Due to the special arrangement of atoms, compared with traditional materials, QCs have high strength, high hardness, and high wear resistance, and can be used as a particle reinforcement phase of polymer or metal matrix composites to improve the performance of materials. QC composites are a special type of composites in which the high strength and hardness of QCs can effectively enhance the mechanical properties of the composites while maintaining the lightweight… More >

  • Open Access

    PROCEEDINGS

    An Energy-Based Local-Nonlocal Coupling Scheme for Heterogeneous Material Brittle Fractures: Analysis and Simulations

    Shaoqi Zheng1, Zihao Yang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012200

    Abstract This study proposes a novel method for predicting the microcrack propagation in composites based on coupling the local and non-local micromechanics. The special feature of this method is that it can take full advantages of both the continuum micromechanics as a local model and peridynamic micromechanics as a non-local model to achieve composite fracture simulation with a higher level of accuracy and efficiency. Based on the energy equivalence, we first establish the equivalent continuum micromechanics model with equivalent stiffness operators through peridynamic micromechanics model. These two models are then coupled into a closed equation system, More >

  • Open Access

    PROCEEDINGS

    Far-Field Underwater Explosion Shock Wave Propagation Simulation Using the Three Dimensional Discontinuous Galerkin Method

    Zhaoxu Lian1,Wenbin Wu2,*, Moubin Liu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011054

    Abstract The underwater explosion (UNDEX) could cause the fatal damage of naval ships and submarines in the naval battle, and seriously threaten their combat capability [1]. The UNDEX process is very complicated, including the propagation and reflection of the shock wave, formation and collapse of cavitation zone, trainset dynamic structural response and so on [2]. In this paper, we develop the three-dimensional Discontinuous Galerkin method (DGM) model for simulating the propagation of incident shock loading in fluid domain. The pressure cutoff model is employed to deal with the cavitation effect due to the reflection of the More >

  • Open Access

    ARTICLE

    A Joint Estimation Method of SOC and SOH for Lithium-ion Battery Considering Cyber-Attacks Based on GA-BP

    Tianqing Yuan1,2, Na Li1,2, Hao Sun3, Sen Tan4,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4497-4512, 2024, DOI:10.32604/cmc.2024.056061 - 12 September 2024

    Abstract To improve the estimation accuracy of state of charge (SOC) and state of health (SOH) for lithium-ion batteries, in this paper, a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm (GA) combined with back propagation (BP) neural network is proposed, the research addresses the issue of data manipulation resulting from cyber-attacks. Firstly, anomalous data stemming from cyber-attacks are identified and eliminated using the isolated forest algorithm, followed by data restoration. Secondly, the incremental capacity (IC) curve is derived from the restored data using the Kalman filtering algorithm, with… More >

  • Open Access

    ARTICLE

    Deep Learning: A Theoretical Framework with Applications in Cyberattack Detection

    Kaveh Heidary*

    Journal on Artificial Intelligence, Vol.6, pp. 153-175, 2024, DOI:10.32604/jai.2024.050563 - 18 July 2024

    Abstract This paper provides a detailed mathematical model governing the operation of feedforward neural networks (FFNN) and derives the backpropagation formulation utilized in the training process. Network protection systems must ensure secure access to the Internet, reliability of network services, consistency of applications, safeguarding of stored information, and data integrity while in transit across networks. The paper reports on the application of neural networks (NN) and deep learning (DL) analytics to the detection of network traffic anomalies, including network intrusions, and the timely prevention and mitigation of cyberattacks. Among the most prevalent cyber threats are R2L,… More >

  • Open Access

    ARTICLE

    Influence of High-Density Bedding Plane Characteristics on Hydraulic Fracture Propagation in Shale Oil Reservoir

    Xiao Yan1,2,3, Di Wang1,2,4, Haitao Yu1,2,3,5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 3051-3071, 2024, DOI:10.32604/cmes.2024.051832 - 08 July 2024

    Abstract The existence of high-density bedding planes is a typical characteristic of shale oil reservoirs. Understanding the behavior of hydraulic fracturing in high-density laminated rocks is significant for promoting shale oil production. In this study, a hydraulic fracturing model considering tensile failure and frictional slip of the bedding planes is established within the framework of the unified pipe-interface element method (UP-IEM). The model developed for simulating the interaction between the hydraulic fracture and the bedding plane is validated by comparison with experimental results. The hydraulic fracturing patterns in sealed and unsealed bedding planes are compared. Additionally,… More >

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