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  • Open Access

    ARTICLE

    Assessment of the Influence of Tunnel Settlement on Operational Performance of Subway Vehicles

    Gang Niu1,2, Guangwei Zhang1, Zhaoyang Jin1, Wei Zhang3,*, Xiang Liu3

    Structural Durability & Health Monitoring, Vol.18, No.1, pp. 55-71, 2024, DOI:10.32604/sdhm.2023.044832

    Abstract In the realm of subway shield tunnel operations, the impact of tunnel settlement on the operational performance of subway vehicles is a crucial concern. This study introduces an advanced analytical model to investigate rail geometric deformations caused by settlement within a vehicle-track-tunnel coupled system. The model integrates the geometric deformations of the track, attributed to settlement, as track irregularities. A novel “cyclic model” algorithm was employed to enhance computational efficiency without compromising on precision, a claim that was rigorously validated. The model’s capability extends to analyzing the time-history responses of vehicles traversing settlement-affected areas. The research primarily focuses on how… More >

  • Open Access

    ARTICLE

    THERMODYNAMIC ANALYSIS FOR THE MHD FLOW OF TWO IMMISCIBLE MICROPOLAR FLUIDS BETWEEN TWO PARALLEL PLATES

    J. Srinivas*, J. V. Ramana Murthy

    Frontiers in Heat and Mass Transfer, Vol.6, pp. 1-11, 2015, DOI:10.5098/hmt.6.4

    Abstract The paper aims the heat transfer analysis for the flow of two immiscible micropolar fluids inside a horizontal channel, by the first and second laws of thermodynamics under the action of an imposed transverse magnetic field. The plates of the channel are maintained at constant temperatures higher than that of the fluid. The flow region consists of two zones, the flow of the heavier fluid taking place in the lower zone. The condition of hyper-stick is taken on the plates and continuity of velocity, micro-rotation, temperature, heat flux, shear stress and couple stress are imposed at the interface. The velocity,… More >

  • Open Access

    ARTICLE

    Design and Fluid-Dynamic Analysis of a Flushing Nozzle for Drilling Applications

    Zhongshuai Chen1,2, Hongjian Ni1,*, Xueliang Pei2, Yu Gao3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.12, pp. 2953-2963, 2023, DOI:10.32604/fdmp.2023.029491

    Abstract The actuator is a key component of the creaming tool in drilling applications. Its jet performances determine the effective reaming efficiency. In this work, a new selective reaming tool is proposed and the RNG k-ε turbulence model is used to calculate its internal and external flow fields. In particular, special attention is paid to the design of the flushing nozzle. The results show that the jet originating from the flushing nozzle has a significant influence on rock cutting and blade cooling effects. In turn, the jet performances depend on geometric structure of the creaming actuator. In this framework, a conical-cylindrical… More >

  • Open Access

    ARTICLE

    Hybrid Malware Variant Detection Model with Extreme Gradient Boosting and Artificial Neural Network Classifiers

    Asma A. Alhashmi1, Abdulbasit A. Darem1,*, Sultan M. Alanazi1, Abdullah M. Alashjaee2, Bader Aldughayfiq3, Fuad A. Ghaleb4,5, Shouki A. Ebad1, Majed A. Alanazi1

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3483-3498, 2023, DOI:10.32604/cmc.2023.041038

    Abstract In an era marked by escalating cybersecurity threats, our study addresses the challenge of malware variant detection, a significant concern for a multitude of sectors including petroleum and mining organizations. This paper presents an innovative Application Programmable Interface (API)-based hybrid model designed to enhance the detection performance of malware variants. This model integrates eXtreme Gradient Boosting (XGBoost) and an Artificial Neural Network (ANN) classifier, offering a potent response to the sophisticated evasion and obfuscation techniques frequently deployed by malware authors. The model’s design capitalizes on the benefits of both static and dynamic analysis to extract API-based features, providing a holistic… More >

  • Open Access

    PROCEEDINGS

    Peridynamic Analysis on Failure of Cantilever Beam Subjected to a Concentrated Force and Uniform Distributed Traction

    Zeyuan Zhou1, Ming Yu1, Zaixing Huang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09135

    Abstract Peridynamics (PD) is a reformulation of the classical continuum mechanics. Its core consists in that a weighted integral of relative displacement over a spatial domain is used instead of the spatial derivative of displacement in governing equations of deformation. Based on an improved technique of exerting traction on boundary surface, an improved peridynamic motion equation has been proposed within the framework of the peridynamic(PD) theory. It is more natural and easier to deal with boundary conditions for the elastic deformation and fracture analysis. Under the enhancement effect in the constructed transfer functions of boundary traction, there is not needed the… More >

  • Open Access

    ARTICLE

    Thermodynamic Analysis and Optimization of the C3/MRC Liquefaction Process

    Guisheng Wang*

    Energy Engineering, Vol.120, No.6, pp. 1503-1514, 2023, DOI:10.32604/ee.2023.027416

    Abstract In the natural gas liquefaction process, the mixed refrigerant natural gas liquefaction process is widely used in LNG liquefaction plants because of its advantages of low energy consumption. This paper focuses on the influences of important parameters in the C3/MRC liquefaction process, that is, the comparison between propane precooling temperature and the number of moles of methane in mixed refrigerant, power consumption and loss. In addition, the total process was optimized with the optimizer and manual adjustment in HYSYS software to minimize the total power consumption. The results show that with increasing propane precooling temperature, the propane flow rate is… More >

  • Open Access

    ARTICLE

    Hemodynamic Analysis and Diagnosis Based on Multi-Deep Learning Models

    Xing Deng1,2, Feipeng Da1,*, Haijian Shao2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1369-1383, 2023, DOI:10.32604/fdmp.2023.024836

    Abstract This study employs nine distinct deep learning models to categorize 12,444 blood cell images and automatically extract from them relevant information with an accuracy that is beyond that achievable with traditional techniques. The work is intended to improve current methods for the assessment of human health through measurement of the distribution of four types of blood cells, namely, eosinophils, neutrophils, monocytes, and lymphocytes, known for their relationship with human body damage, inflammatory regions, and organ illnesses, in particular, and with the health of the immune system and other hazards, such as cardiovascular disease or infections, more in general. The results… More > Graphic Abstract

    Hemodynamic Analysis and Diagnosis Based on Multi-Deep Learning Models

  • Open Access

    ARTICLE

    Design and Dynamic Analysis of Pipeline Dredging Devices

    Zhong Chen1,2,*, Yalin Wang1,2, Yue Li2

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1349-1367, 2023, DOI:10.32604/fdmp.2023.024513

    Abstract In order to improve the efficiency as well the adaptability and operability of traditional devices used to dredge drainage pipelines a new design is presented here, obtained by matching the structural specifications of a drainage pipeline with the working principle of a high-pressure water jet (HPWJ). To effectively improve the water jet nozzle performances, the nozzle’s structural parameters of the proposed device have been analyzed through Computational fluid dynamics (CFD) simulation. The corresponding behavior of the fluids inside and outside the self-rotational nozzle has been numerically simulated. The final design for the nozzle has been optimized taking into account such… More > Graphic Abstract

    Design and Dynamic Analysis of Pipeline Dredging Devices

  • Open Access

    ARTICLE

    Dynamic Analysis of Pipeline Lifting Operations for Different Current Velocities and Wave Heights

    Dapeng Zhang1, Bowen Zhao2,*, Keqiang Zhu3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 603-617, 2023, DOI:10.32604/fdmp.2022.023919

    Abstract Pipelines are widely used for transporting oil resources in the context of offshore oil exploitation. The pipeline stress-strength analysis is an important stage in related design and ensuing construction techniques. In this study, assuming representative work environment parameters, pipeline lifting operations are investigated numerically. More specifically, a time-domain coupled dynamic analysis method is used to conduct a hydrodynamic analysis under different current velocities and wave heights. The results show that proper operation requires the lifting points are reasonably set in combination with the length of the pipeline and the position of the lifting device on the construction ship. The impact… More > Graphic Abstract

    Dynamic Analysis of Pipeline Lifting Operations for Different Current Velocities and Wave Heights

  • Open Access

    ARTICLE

    Haemodynamic Analysis of the Relationship between the Morphological Alterations of the Ascending Aorta and the Type A Aortic-Dissection Disease

    Qingzhuo Chi1, Huimin Chen1, Lizhong Mu1,*, Ying He1, Yong Luan2

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.4, pp. 721-743, 2021, DOI:10.32604/fdmp.2021.015200

    Abstract Type A aortic dissection (AD) is one of the most serious cardiovascular diseases, whose risk predictors are controversial. The purpose of this research was to investigate how elongation accompanied by dilation of the ascending aorta (AAo) affects the relevant haemodynamic characteristics using image-based computational models. Five elongated AAos with different levels of dilation have been reconstructed based on the centerlines data of an elderly and an AD patient. Numerical simulations have been performed assuming an inflow waveform and a Windkessel model with three elements for all outflow boundaries. The numerical results have revealed that the elongation of AAo can disturb… More >

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