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  • Open Access


    Research on the Follow-Up Control Strategy of Biaxial Fatigue Test of Wind Turbine Blade Based on Electromagnetic Excitation

    Wenzhe Guo1, Leian Zhang1,*, Chao Lv2, Weisheng Liu3, Jiabin Tian2

    Energy Engineering, Vol.120, No.10, pp. 2307-2323, 2023, DOI:10.32604/ee.2023.030029

    Abstract Aiming at the drift problem that the tracking control of the actual load relative to the target load during the electromagnetic excitation biaxial fatigue test of wind turbine blades is easy to drift, a biaxial fatigue testing machine for electromagnetic excitation is designed, and the following strategy of the actual load and the target load is studied. A Fast Transversal Recursive Least Squares algorithm based on fuzzy logic (Fuzzy FTRLS) is proposed to develop a fatigue loading following dynamic strategy, which adjusts the forgetting factor in the algorithm through fuzzy logic to overcome the contradiction between convergence accuracy and convergence… More >

  • Open Access


    Effects of I-EGR and Pre-Injection on Performance of Gasoline Compression Ignition (GCI) at Low-Load Condition

    Binbin Yang1,*, Leilei Liu1, Yan Zhang1, Jingyu Gong1, Fan Zhang2, Tiezhu Zhang1

    Energy Engineering, Vol.120, No.10, pp. 2233-2250, 2023, DOI:10.32604/ee.2023.028898

    Abstract Gasoline compression ignition (GCI) has been considered as a promising combustion concept to yield ultra-low NOX and soot emissions while maintaining high thermal efficiency. However, how to improve the low-load performance becomes an urgent issue to be solved. In this paper, a GCI engine model was built to investigate the effects of internal EGR (i-EGR) and pre-injection on in-cylinder temperature, spatial concentration of mixture and OH radical, combustion and emission characteristics, and the control strategy for improving the combustion performance was further explored. The results showed an obvious expansion of the zone with an equivalence ratio between 0.8~1.2 is realized… More >

  • Open Access


    3D Analysis of Effect of Graphite Morphology on Thermomechanical Behaviour of CGI

    Minghua Cao1,*, Konstantinos P. Baxevanakis1, Vadim V. Silberschmidt1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09086

    Abstract Compacted graphite iron (CGI) was attractive as an important material for the industry since its introduction in the last century. Thanks to its high strength, great wear resistance and thermal conductivity, CGI became extensively applied in the automotive industry as engine parts: brake drums, cylinder heads and exhaust manifolds. As a metal-matrix composite, CGI contains two microstructural phases: graphite inclusions and a metallic matrix. The main fracture mechanism of CGI under high-temperature service conditions at macroscale is linked to graphite-matrix (interfacial) debonding, formation of microcracks and their networks, and final failure of the material at microscale because of the mismatch… More >

  • Open Access


    Progressive Failure Analysis of Composite Laminates Subjected to Transverse Loading with Augmented Finite Element Method

    Shu Li1,*, Yan Li1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09078

    Abstract In this paper, two-dimensional (2D) orthotropic augmented finite element method (A-FEM) is applied to account for progressive failure of composite laminates under transverse loading, which considers all major cracking modes (delamination, fiber kinking/rupture matrix cracking). High-fidelity simulations of different stacking composite laminates under transverse loading are implemented. Both predicted load−deflection curves and damage evolution are in good agreement with that of experimental results, which demonstrates the numerical capability of A-FEM. In addition, the influence of stacking sequence on the failure mechanism is also studied by predicted damage evolution of laminates with different stacking sequence. Results show that the tensile matrix… More >

  • Open Access


    Molecular Dynamic Study on Entangled Structure of Polymer Chains’ Network under High Speed Loading Condition

    Isamu Riku1,*, Koji Mimura1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09070

    Abstract It is well known that the mechanical resistance of soft materials such as rubber and elastomer can be improved by cross-linkages or fillers, which will lead to a construction of entangled structure of polymer chains’ network. However, the correlation between the amount of cross-linkages or fillers with the toughness strength of the resultant material has not been clarified. Therefore, in this study, we at first construct a computational model for the resultant material with molecular dynamics method. Then, a series of simulations are performed for the resultant materials with different amount of cross-linkages or fillers under high speed loading condition.… More >

  • Open Access


    A Hybrid Heuristic Service Caching and Task Offloading Method for Mobile Edge Computing

    Yongxuan Sang, Jiangpo Wei*, Zhifeng Zhang, Bo Wang

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2483-2502, 2023, DOI:10.32604/cmc.2023.040485

    Abstract Computing-intensive and latency-sensitive user requests pose significant challenges to traditional cloud computing. In response to these challenges, mobile edge computing (MEC) has emerged as a new paradigm that extends the computational, caching, and communication capabilities of cloud computing. By caching certain services on edge nodes, computational support can be provided for requests that are offloaded to the edges. However, previous studies on task offloading have generally not considered the impact of caching mechanisms and the cache space occupied by services. This oversight can lead to problems, such as high delays in task executions and invalidation of offloading decisions. To optimize… More >

  • Open Access


    Machine Learning-Enabled Communication Approach for the Internet of Medical Things

    Rahim Khan1,3, Abdullah Ghani1, Samia Allaoua Chelloug2,*, Mohammed Amin4, Aamir Saeed5, Jason Teo1

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1569-1584, 2023, DOI:10.32604/cmc.2023.039859

    Abstract The Internet of Medical Things (IoMT) is mainly concerned with the efficient utilisation of wearable devices in the healthcare domain to manage various processes automatically, whereas machine learning approaches enable these smart systems to make informed decisions. Generally, broadcasting is used for the transmission of frames, whereas congestion, energy efficiency, and excessive load are among the common issues associated with existing approaches. In this paper, a machine learning-enabled shortest path identification scheme is presented to ensure reliable transmission of frames, especially with the minimum possible communication overheads in the IoMT network. For this purpose, the proposed scheme utilises a well-known… More >

  • Open Access


    Task Offloading and Resource Allocation in IoT Based Mobile Edge Computing Using Deep Learning

    Ilyоs Abdullaev1, Natalia Prodanova2, K. Aruna Bhaskar3, E. Laxmi Lydia4, Seifedine Kadry5,6,7, Jungeun Kim8,*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1463-1477, 2023, DOI:10.32604/cmc.2023.038417

    Abstract Recently, computation offloading has become an effective method for overcoming the constraint of a mobile device (MD) using computation-intensive mobile and offloading delay-sensitive application tasks to the remote cloud-based data center. Smart city benefitted from offloading to edge point. Consider a mobile edge computing (MEC) network in multiple regions. They comprise N MDs and many access points, in which every MD has M independent real-time tasks. This study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization (TORA-DLSGO) algorithm. The proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,… More >

  • Open Access


    Concurrent Topology and Fiber Path Optimization for Continuous Fiber Composite Under Thermo-Mechanical Loadings

    Zhelong He1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010452

    Abstract This presentation introduces a concurrent topology and fiber-path optimization for continuous fiber composite under thermos-mechanical loadings. The optimization goal is to minimize the structural compliance of composite with thermos-mechanical coupling while satisfying volume fraction constraint, and ensuring the manufacturability by using continuous fibers and avoiding the appearance of over thin members. Level-set function is utilized to represent both shape boundary and fiber path. The zero isocontour of level-set function is updated using a shape sensitivity analysis for anisotropic composite, and fiber paths in shape are given by level-set functions determined from shape boundary. A level-set-based mesh evolution method is introduced… More >

  • Open Access


    Study on Crack Propagation Behavior of Concrete with Water Fracture Interactions

    Wenhu Zhao1,2,*, Chengbin Du2, Xiaocui Chen2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.010048

    Abstract Concrete structures such as offshore platforms, costal and port structures, dams, etc., are often submerged in water [1]. The water within concreter pores or cracks has a great influence on crack propagation behavior [2,3]. Several wedge-splitting experiments of compact specimens are conducted with a designed sealing device to study the water effects on concrete crack propagation. Different water pressures and different loading rates are considered loading on the pre-crack surfaces and waterproof strain gauges are stuck along the crack path to observe the fracture process during the experiments. Water pressure values on crack surfaces are recorded by diffused silicon water… More >

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