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  • Open Access

    PROCEEDINGS

    A FE-Based Reduced-Order Modeling Technique with Mixed Kinematics for Geometrically Nonlinear Buckling Analysis of Structures

    Ke Liang1,*, Zheng Li1, Zhen Yin1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011625

    Abstract In this work, a finite element based reduced-order technique in the framework of mixed nonlinear kinematics is proposed for the geometrically nonlinear analysis of thin-walled structures [1]. The mixed nonlinear kinematics are established by combining the co-rotational formulation with the updated von Kármán formulation. The co-rotational formulation is selected to calculate the internal force and tangent stiffness of a structure; whereas the third- and fourth-order strain energy derivatives are achieved by the updated von Kármán formulation. For geometrically nonlinear problems with a large deflection, reduced-order models with 1 degree of freedom are constructed using the… More >

  • Open Access

    PROCEEDINGS

    Conforming Embedded Isogeometric Analysis with Applications in Structural Mechanics and Fluid-Solid Interactions

    Xuefeng Zhu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012543

    Abstract Isogeometric Analysis (IGA) was introduced by Thomas Hughes et al. with the aim of integrating CAD and FEA. IGA methods can be categorized into two groups: Conforming IGA, such as T-spline based IGA, and non-conforming IGA, such as immersed or embedded IGA. Embedded or immersed IGA methods do not require the construction of analysis-aware geometry, unlike conforming IGA methods such as T-spline based IGA. However, the Galerkin method does not directly apply to these methods, making it challenging for immersed IGA methods to impose strong Dirichlet boundary conditions directly. Nitsche's method is a popular approach… More >

  • Open Access

    ARTICLE

    A New Isogeometric Finite Element Method for Analyzing Structures

    Pan Su1, Jiaxing Chen2, Ronggang Yang2, Jiawei Xiang2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1883-1905, 2024, DOI:10.32604/cmes.2024.055942 - 27 September 2024

    Abstract High-performance finite element research has always been a major focus of finite element method studies. This article introduces isogeometric analysis into the finite element method and proposes a new isogeometric finite element method. Firstly, the physical field is approximated by uniform B-spline interpolation, while geometry is represented by non-uniform rational B-spline interpolation. By introducing a transformation matrix, elements of types C0 and C1 are constructed in the isogeometric finite element method. Subsequently, the corresponding calculation formats for one-dimensional bars, beams, and two-dimensional linear elasticity in the isogeometric finite element method are derived through variational principles and… More >

  • Open Access

    ARTICLE

    A Non-Intrusive Stochastic Phase-Field for Fatigue Fracture in Brittle Materials with Uncertainty in Geometry and Material Properties

    Rajan Aravind1,2, Sundararajan Natarajan1, Krishnankutty Jayakumar2, Ratna Kumar Annabattula1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 997-1032, 2024, DOI:10.32604/cmes.2024.053047 - 27 September 2024

    Abstract Understanding the probabilistic nature of brittle materials due to inherent dispersions in their mechanical properties is important to assess their reliability and safety for sensitive engineering applications. This is all the more important when elements composed of brittle materials are exposed to dynamic environments, resulting in catastrophic fatigue failures. The authors propose the application of a non-intrusive polynomial chaos expansion method for probabilistic studies on brittle materials undergoing fatigue fracture when geometrical parameters and material properties are random independent variables. Understanding the probabilistic nature of fatigue fracture in brittle materials is crucial for ensuring the… More >

  • Open Access

    ARTICLE

    A Mathematical Modeling of 3D Cubical Geometry Hypothetical Reservoir under the Effect of Nanoparticles Flow Rate, Porosity, and Relative Permeability

    Mudasar Zafar1,2,3,*, Hamzah Sakidin1, Abida Hussain1, Loshini Thiruchelvam4, Mikhail Sheremet5, Iskandar Dzulkarnain3, Roslinda Nazar6, Abdullah Al-Yaari1, Rizwan Safdar7,8

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1193-1211, 2024, DOI:10.32604/cmes.2024.049259 - 27 September 2024

    Abstract This study aims to formulate a steady-state mathematical model for a three-dimensional permeable enclosure (cavity) to determine the oil extraction rate using three distinct nanoparticles, SiO2, Al2O3, and Fe2O3, in unconventional oil reservoirs. The simulation is conducted for different parameters of volume fractions, porosities, and mass flow rates to determine the optimal oil recovery. The impact of nanoparticles on relative permeability ( and water is also investigated. The simulation process utilizes the finite volume ANSYS Fluent. The study results showed that when the mass flow rate at the inlet is low, oil recovery goes up. In addition, More >

  • Open Access

    ARTICLE

    Delineating Groundwater Potential Zones Using Geospatial and Analytical Hierarchy Process Techniques in the Upper Omo-Gibe Basin, Ethiopia

    Yonas Hagos1,2,*, Zelalem Bedaso1, Mulugeta Kebede3

    Revue Internationale de Géomatique, Vol.33, pp. 399-425, 2024, DOI:10.32604/rig.2024.053975 - 27 September 2024

    Abstract In regions with unpredictable rainfall and limited water supply, it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development. This study utilizes the Analytic Hierarchy Process (AHP) in combination with Geographic Information Systems (GIS) to evaluate the potential groundwater zones in the Gombora watershed within the Omo Gibe basin in Ethiopia. Combining these two tools provided a detailed map showing potential groundwater areas. These zones are determined based on various thematic maps containing information about geology, soil texture, lineament density, slope, land use, and drainage density.… More >

  • Open Access

    ARTICLE

    Internet of Things Enabled DDoS Attack Detection Using Pigeon Inspired Optimization Algorithm with Deep Learning Approach

    Turki Ali Alghamdi, Saud S. Alotaibi*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4047-4064, 2024, DOI:10.32604/cmc.2024.052796 - 12 September 2024

    Abstract Internet of Things (IoTs) provides better solutions in various fields, namely healthcare, smart transportation, home, etc. Recognizing Denial of Service (DoS) outbreaks in IoT platforms is significant in certifying the accessibility and integrity of IoT systems. Deep learning (DL) models outperform in detecting complex, non-linear relationships, allowing them to effectually severe slight deviations from normal IoT activities that may designate a DoS outbreak. The uninterrupted observation and real-time detection actions of DL participate in accurate and rapid detection, permitting proactive reduction events to be executed, hence securing the IoT network’s safety and functionality. Subsequently, this… More >

  • Open Access

    ARTICLE

    Comparative analysis of breast and lung cancer survival rates and clinical trial enrollments among rural and urban patients in Georgia

    TATIANA KURILO*, REBECCA D. PENTZ

    Oncology Research, Vol.32, No.9, pp. 1401-1406, 2024, DOI:10.32604/or.2024.050266 - 23 August 2024

    Abstract Objectives: Rural patients have poor cancer outcomes and clinical trial (CT) enrollment compared to urban patients due to attitudinal, awareness, and healthcare access differential. Knowledge of cancer survival disparities and CT enrollment is important for designing interventions and innovative approaches to address the stated barriers. The study explores the potential disparities in cancer survival rates and clinical trial enrollments in rural and urban breast and lung cancer patients. Our hypotheses are that for both cancer types, urban cancer patients will have longer 5-year survival rates and higher enrollment rates in clinical trials than those in… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

    Mohamed Abdel-Mongy1, Mudassir Iqbal2, M. Farag3, Ahmed. M. Yosri1,*, Fahad Alsharari1, Saif Eldeen A. S. Yousef4

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 525-543, 2024, DOI:10.32604/cmes.2024.052505 - 20 August 2024

    Abstract Alkali-activated materials/geopolymer (AAMs), due to their low carbon emission content, have been the focus of recent studies on ecological concrete. In terms of performance, fly ash and slag are preferred materials for precursors for developing a one-part geopolymer. However, determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely reported. Therefore, in this study, machine learning methods such as artificial neural networks (ANN) and gene expression programming (GEP) models were developed using MATLAB and GeneXprotools, respectively, for the prediction of compressive strength under variable input materials and content… More >

  • Open Access

    REVIEW

    Multi-Aspect Critical Assessment of Applying Digital Elevation Models in Environmental Hazard Mapping

    Maan Habib1,*, Ahed Habib2, Mohammad Abboud3

    Revue Internationale de Géomatique, Vol.33, pp. 247-271, 2024, DOI:10.32604/rig.2024.053857 - 07 August 2024

    Abstract Digital elevation models (DEMs) are essential tools in environmental science, particularly for hazard assessments and landscape analyses. However, their application across multiple environmental hazards simultaneously remains in need for a multi-aspect critical assessment to promote their effectiveness in comprehensive risk management. This paper aims to review and critically assess the application of DEMs in mapping and managing specific environmental hazards, namely floods, landslides, and coastal erosion. In this regard, it seeks to promote their utility of hazard maps as key tools in disaster risk reduction and environmental planning by employing high-resolution DEMs integrated with advanced More >

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