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  • Open Access

    ARTICLE

    Tesla-Valve-Based Wind Barriers for Energy Dissipation and Aerodynamic Load Reduction on Trains

    Bo Su1, Mwansa Chambalile1, Shihao He1, Wan Sun2, Enyuan Zhang1, Tong Guo3, Jianming Hao4, Md. Mahbub Alam5,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.1, 2026, DOI:10.32604/fdmp.2026.076681 - 06 February 2026

    Abstract Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently in a warming climate. Wind barriers are commonly used on bridges to reduce aerodynamic loads on trains through blocking effects. This study develops a novel wind barrier based on Tesla valves, which not only blocks incoming flow but also dissipates mechanical energy through fluid collision. To demonstrate this energy-dissipation capability, a Tesla plate is placed in a circular duct to examine its influence on pressure drop. Experimental tests and numerical simulations comparing a… More >

  • Open Access

    ARTICLE

    Cognitive NFIDC-FRBFNN Control Architecture for Robust Path Tracking of Mobile Service Robots in Hospital Settings

    Huda Talib Najm1,2, Ahmed Sabah Al-Araji3, Nur Syazreen Ahmad1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.071837 - 29 January 2026

    Abstract Mobile service robots (MSRs) in hospital environments require precise and robust trajectory tracking to ensure reliable operation under dynamic conditions, including model uncertainties and external disturbances. This study presents a cognitive control strategy that integrates a Numerical Feedforward Inverse Dynamic Controller (NFIDC) with a Feedback Radial Basis Function Neural Network (FRBFNN). The robot’s mechanical structure was designed in SolidWorks 2022 SP2.0 and validated under operational loads using finite element analysis in ANSYS 2022 R1. The NFIDC-FRBFNN framework merges proactive inverse dynamic compensation with adaptive neural learning to achieve smooth torque responses and accurate motion control.… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Cross-Layer Propagation Mechanisms for Hydraulic Fractures in Deep Coal-Rock Formations

    Zhirong Jin1,*, Xiaorui Hou1, Yanrong Ge1, Tiankui Guo2, Ming Chen2, Shuyi Li2, Tianyu Niu2

    Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070750 - 27 January 2026

    Abstract Hydraulic fracturing serves as a critical technology for reservoir stimulation in deep coalbed methane (CBM) development, where the mechanical properties of gangue layers exert a significant control on fracture propagation behavior. To address the unclear mechanisms governing fracture penetration across coal-gangue interfaces, this study employs the Continuum-Discontinuum Element Method (CDEM) to simulate and analyze the vertical propagation of hydraulic fractures initiating within coal seams, based on geomechanical parameters derived from the deep Benxi Formation coal seams in the southeastern Ordos Basin. The investigation systematically examines the influence of geological and operational parameters on cross-interfacial fracture… More >

  • Open Access

    ARTICLE

    Numerical Investigation of Porosity and Aggregate Volume Ratio Effects on the Mechanical Behavior of Lightweight Aggregate Concrete

    Safwan Al-sayed1, Xi Wang1, Yijiang Peng1,*, Esraa Hyarat2, Ahmad Ali AlZubi3

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.074068 - 12 January 2026

    Abstract In modern construction, Lightweight Aggregate Concrete (LWAC) has been recognized as a vital material of concern because of its unique properties, such as reduced density and improved thermal insulation. Despite the extensive knowledge regarding its macroscopic properties, there is a wide knowledge gap in understanding the influence of microscale parameters like aggregate porosity and volume ratio on the mechanical response of LWAC. This study aims to bridge this knowledge gap, spurred by the need to enhance the predictability and applicability of LWAC in various construction environments. With the help of advanced numerical methods, including the… More >

  • Open Access

    ARTICLE

    A Hybrid Experimental-Numerical Framework for Identifying Viscoelastic Parameters of 3D-Printed Polyurethane Samples: Cyclic Tests, Creep/Relaxation and Inverse Finite Element Analysis

    Nikita Golovkin1,2, Olesya Nikulenkova3, Vsevolod Pobezhimov1, Alexander Nesmelov1, Sergei Chvalun1, Fedor Sorokin3, Arthur Krupnin1,3,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073161 - 12 January 2026

    Abstract This study presents and verifies a hybrid methodology for reliable determination of parameters in structural rheological models (Zener, Burgers, and Maxwell) describing the viscoelastic behavior of polyurethane specimens manufactured using extrusion-based 3D printing. Through comprehensive testing, including cyclic compression at strain rates ranging from 0.12 to 120 mm/min (0%–15% strain) and creep/relaxation experiments (10%–30% strain), the lumped parameters were independently determined using both analytical and numerical solutions of the models’ differential equations, followed by cross-verification in additional experiments. Numerical solutions for creep and relaxation problems were obtained using finite element analysis, with the three-parameter Mooney-Rivlin… More > Graphic Abstract

    A Hybrid Experimental-Numerical Framework for Identifying Viscoelastic Parameters of 3D-Printed Polyurethane Samples: Cyclic Tests, Creep/Relaxation and Inverse Finite Element Analysis

  • Open Access

    ARTICLE

    A TimeXer-Based Numerical Forecast Correction Model Optimized by an Exogenous-Variable Attention Mechanism

    Yongmei Zhang*, Tianxin Zhang, Linghua Tian

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073159 - 12 January 2026

    Abstract Marine forecasting is critical for navigation safety and disaster prevention. However, traditional ocean numerical forecasting models are often limited by substantial errors and inadequate capture of temporal-spatial features. To address the limitations, the paper proposes a TimeXer-based numerical forecast correction model optimized by an exogenous-variable attention mechanism. The model treats target forecast values as internal variables, and incorporates historical temporal-spatial data and seven-day numerical forecast results from traditional models as external variables based on the embedding strategy of TimeXer. Using a self-attention structure, the model captures correlations between exogenous variables and target sequences, explores intrinsic More >

  • Open Access

    ARTICLE

    Numerical Simulation of Damage Behavior in Graphene-Reinforced Aluminum Matrix Composite Armatures under Multi-Physical Field Coupling

    Junwen Huo, Haicheng Liang, Weiye Dong, Xiaoming Du*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.073285 - 09 December 2025

    Abstract With the rapid advancement of electromagnetic launch technology, enhancing the structural stability and thermal resistance of armatures has become essential for improving the overall efficiency and reliability of railgun systems. Traditional aluminum alloy armatures often suffer from severe ablation, deformation, and uneven current distribution under high pulsed currents, which limit their performance and service life. To address these challenges, this study employs the Johnson–Cook constitutive model and the finite element method to develop armature models of aluminum matrix composites with varying heterogeneous graphene volume fractions. The temperature, stress, and strain of the armatures during operation… More >

  • Open Access

    PROCEEDINGS

    Discrete Boltzmann Modeling and Simulation of Multiphase with Thermodynamic Nonequilibrium Effects

    Chuandong Lin*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI: 10.32604/icces.2025.010544

    Abstract Multiphase flows with thermodynamic nonequilibrium effects are encountered in various engineering and natural systems, such as bubbly flows, droplet-laden flows, and phase change processes. To accurately model and simulate such complex flows, a Discrete Boltzmann Method (DBM) is introduced in this report. The DBM is a kinetic-based approach that can capture the dynamics of multiple phases and their interactions, including phase change, mass transfer, and energy exchange. The method is validated through simulations of multiphase flows with phase change, showing good agreement with analytical solutions. The capability of the DBM to handle thermodynamic nonequilibrium effects… More >

  • Open Access

    ARTICLE

    Numerical Investigation of Carbon Capture, Utilization, and Storage–Enhanced Gas Recovery

    Nan Qin1, Shaofeng Ning2,*, Zihan Zhao1,2, Yu Luo1, Bo Chen1, Xiaoxu Liu1, Yongming He2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2997-3009, 2025, DOI:10.32604/fdmp.2025.074456 - 31 December 2025

    Abstract Balancing CO2 emission reduction with enhanced gas recovery in carbonate reservoirs remains a key challenge in subsurface energy engineering. This study focuses on the Maokou Formation gas reservoir in the Wolonghe Gas Field, Sichuan Basin, and employs a mechanistic model integrated with numerical simulations that couple CO2–water–rock geochemical interactions to systematically explore the principal engineering and chemical factors governing Carbon Capture, Utilization, and Storage–Enhanced Gas Recovery (CCUS–EGR). The analysis reveals that both the injection–production ratio and gas injection rate exhibit optimal ranges. Maximum gas output under single-parameter variation occurs at an injection–production ratio of 0.7 and… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Microscopic Seepage Mechanisms in Gas Reservoir Storage Systems

    Yulong Zhao1, Yang Luo1,*, Yuming Luo2, Yulai Pang2, Ruihan Zhang1, Zihan Zhao3

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 3073-3090, 2025, DOI:10.32604/fdmp.2025.070685 - 31 December 2025

    Abstract The development of underground gas storage (UGS) systems is vital for maintaining stability between energy supply and demand. This study explores the dynamic response mechanisms of carbonate reservoirs subjected to intense injection–production cycling during UGS operations. By integrating three-dimensional digital core technology with a coupled poro-mechanical model, we simulate the pore-scale behavior of a representative Huangcaoxia UGS carbonate core. The results demonstrate that fluid–solid coupling effects markedly amplify permeability reduction, far exceeding the influence of porosity variations alone. More significantly, gas production leads to a pronounced decline in permeability driven by rising effective stress, arising More >

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