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  • Open Access

    ARTICLE

    Numerical Study of Burden Effects on Rock Breakage in Single-Hole Bench Blasting

    Kai Rong*, Zong-Xian Zhang, Li-Yuan Chi
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.078415
    Abstract Burden is one of the main parameters in blast design. However, field tests, either single- or multi-hole blasts, used to determine an appropriate burden, are difficult to capture crack propagation, evolution of breakage angle, and the mechanism governing these processes in the rock. In this study, a single-hole bench blasting model is developed using LS-DYNA software to comprehensively investigate the relationship between burden and rock breakage. The simulation results show that the breakage angle decreases with the increase in burden, and the blasted volume reaches a peak value with a burden of 4 m. Meanwhile,… More >

  • Open Access

    ARTICLE

    Electroosmotic Transport and Entropy Generation in ZnO-Williamson Nanoblood Flow through a Converging/Diverging Tapered Stenosed Artery

    Noor Fadiya Mohd Noor1,2,*, Noreen Sher Akbar3, Rashid Mehmood4, Muhammad Bilal Habib5
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.075694
    (This article belongs to the Special Issue: Mathematical and Computational Modeling of Nanofluid in Biofluid Systems)
    Abstract Electroosmotic transport and entropy generation play a decisive role in regulating efficiency, stability, and energy cost of non-Newtonian nanoblood flows in stenosed arteries, particularly with tapered geometries. This study develops a unified model to analyze ZnO–Williamson nanoblood flow through a stenosed artery with converging, diverging, and non-tapered configurations, incorporating electroosmosis, viscous dissipation, and entropy production. The arterial walls are assumed to be electrically charged with a no-slip condition to induce electroosmotic propulsion along the endothelial surface. The partial differential equations are nondimensionalized to a coupled system of nonlinear ordinary differential equations, which are solved numerically… More >

  • Open Access

    ARTICLE

    Numerical Determination of Weak Adhesive Bonds Using Ultrasonic Guided Waves

    Egidijus Žukauskas1,*, Damira Smagulova1, Elena Jasiūnienė1,2
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.077492
    (This article belongs to the Special Issue: Advances in Numerical Modeling of Composite Structures and Repairs)
    Abstract Adhesively bonded joints are widely used in modern lightweight structures due to their high strength-to-weight ratio and design flexibility. However, the reliable non-destructive evaluation of bond integrity remains a significant challenge. This study presents a numerical investigation of adhesively bonded joints with different adhesive properties using ultrasonic guided waves. The main focus of the investigation is to evaluate the feasibility of using guided waves to assess bond integrity, particularly for detecting challenging weak bonds. For this purpose, a theoretical analysis of dispersion curves was conducted, revealing that the S0 Lamb wave mode is significantly sensitive… More >

  • Open Access

    ARTICLE

    Implementation of Hysteretic Models into Mechanical Systems for the Purpose of Digital Twin Modelling to Support the Technical Diagnostics

    Milan Sága, Ján Minárik*, Milan Vaško, Jaroslav Majko
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.076734
    (This article belongs to the Special Issue: Numerical Modeling in Technical Diagnostics and Predictive Maintenance)
    Abstract The presented study analyses the impact of hysteresis on the response of mechanical systems. The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to describe a damaged or a faulty system. The hysteretic models are able to describe various types of nonlinear behaviour that can reflect the wear or damage of the system components. The data obtained from these models can possibly serve as a basis for the advanced approaches, such as digital twin modelling and predictive maintenance. All the results presented in this… More >

  • Open Access

    ARTICLE

    Modeling of the Separation Bubble on Cambered Airfoils Utilizing Modified Parameters in a Transition Model

    Eren Anıl Sezer1,2,3, Muhammer Ayvazoğlu1,2, Muhammed Hatem1,2, Sinem Keskin1,2, Mustafa Özden1,4, Mustafa Serdar Genç1,3,*, Halil Hakan Açıkel1
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.076446
    (This article belongs to the Special Issue: Modeling and Applications of Bubble and Droplet in Engineering and Sciences)
    Abstract Separation bubbles forming on airfoils significantly influence aerodynamic behavior, particularly at low Reynolds numbers, making their accurate prediction a critical challenge in transition modelling. This study investigates numerical modeling of a separation bubble and the effects of airfoil thickness and camber variation on the formation of the bubble dynamics at low Reynolds numbers. The numerical results were compared with the experimental results obtained from surface pressure distribution measurements, oil flow visualisation, and surface shear measurements to analyse the detailed flow behavior. The combination of pressure and flow visualisation techniques provided complementary insights, enabling a detailed… More >

  • Open Access

    REVIEW

    Malware Detection and AI Integration: A Systematic Review of Current Trends and Future Directions

    M. Mohsin Raza1,#, Muhammad Umair1,#, Imran Arshad Choudhry1, Muhammad Qasim1, Muhammad Tahir Naseem2,*, Mamoona Naveed Asghar3, Daniel Gavilanes4,5,6,7, Manuel Masias Vergara4,8,9, Imran Ashraf10,*
    CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.074164
    Abstract Over the past decade, the landscape of cybersecurity has been increasingly shaped by the growing sophistication and frequency of malware attacks. Traditional detection techniques, while still in use, often fall short when confronted with modern threats that use advanced evasion strategies. This systematic review critically examines recent developments in malware detection, with a particular emphasis on the role of artificial intelligence (AI) and machine learning (ML) in enhancing detection capabilities. Drawing on literature published between 2019 and 2025, this study reviews 105 peer-reviewed contributions from prominent digital libraries including IEEE Xplore, SpringerLink, ScienceDirect, and ACM… More >

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