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  • Open Access

    PROCEEDINGS

    Aeroelastic Analysis of a Supercritical Airfoil with Free-Play in Transonic Flow

    Shun He1,*, Gaowei Cui2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-4, 2022, DOI:10.32604/icces.2022.08753

    Abstract An investigation has been made into the nonlinear aeroelastic behavior of a supercritical airfoil (NLR 7301) considering free-play in transonic flow. Computational Fluid Dynamics (CFD) based on NavierStokes equations is implemented to calculate unsteady aerodynamic forces. A loosely coupled scheme with steady CFD and a graphic method are developed to obtain the static aeroelastic position. Frequency domain flutter solution with transonic aerodynamic influence coefficient is used to capture the linear flutter characteristic at different angle of attack (AoA). Time marching approach based on CFD is used to calculate the nonlinear aeroelastic response. The bifurcation diagram of pitching motion shows that… More >

  • Open Access

    PROCEEDINGS

    The Effect of Tempering Duration on the Creep Behavior of the P91 Steels at 600℃

    Jundong Yin1, Lei Wang1, Baoyin Zhu2, Guodong Zhang2, Dongfeng Li1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-3, 2022, DOI:10.32604/icces.2022.08750

    Abstract High performance martensitic heat resistant steels are widely used in fossil fuel power plant industry due to because of their good creep resistance at high temperatures. In-depth understanding of the high temperature inelastic deformation mechanism of such steels is crucial to ensure the reliable, safe and efficient operation of the power plant [1]. The martensitic steels have a complex microstructure with a hierarchical arrangement, including a collection of packets in the prior austenite grain, blocks in the packet and laths along with dispersed nanoscale strengthening phases (e.g., MX precipitates and carbides). The purpose of this paper is to study the… More >

  • Open Access

    PROCEEDINGS

    Reduced Order Model based on SPOD for Aerothermoelastic Analysis of a Hypersonic Panel

    Chunxiu Ji1, Dan Xie1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-2, 2022, DOI:10.32604/icces.2022.08737

    Abstract This study has established a reduced order model (ROM) based on spectral proper orthogonal decomposition (SPOD) method in order to proceed an aerothermoelastic response analysis of a hypersonic panel. The two-way coupling between aerothermal and aeroelastic systems is applied [1]. Three aspects of POD-ROM are investigated: 1) the selection of snapshots for POD modes; 2) the comparison between classical POD [2] and SPOD [3]; 3) how to find global POD modes in a parameter space of flight altitude and Mach number. The snapshots are sampled from aerothermoelastic response data via the classical Galerkin method. The numerical results show that the… More >

  • Open Access

    PROCEEDINGS

    Nonlinear Vibration Analysis of Horizontal Bi-Directional Restoring Force Characteristics for Seismic Isolated Laminated Rubber

    Ayumi Takahashi1,*, Kenya Kashiwagi2, Tomoyuki Tsuchiya2, Kazuhito Misaji1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-1, 2022, DOI:10.32604/icces.2022.08705

    Abstract As a characteristic of seismic isolated laminated rubber, the rubber is torsional deformed when it was loaded in horizontal bi-direction, and breaks with less force than when loaded in unidirectional. It is necessary to extend the model which has been used for unidirectional analysis to the model which can be analyzed in bi-direction. As a previous study, Igarashi applied the Multiple Shear Springs (MSS) model which is a horizontal bi-directional model, and compared them with measured values to verify their validity [1]. The authors extended PFT-ELS method to MSS model which can analyze bidirection [2]. The ELS method is a… More >

  • Open Access

    PROCEEDINGS

    Dynamic Behaviors after Droplet Impact onto Liquid Surface

    Kazuhiko Kakuda1,*, Asuka Iizumi1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-5, 2022, DOI:10.32604/icces.2022.08695

    Abstract In this paper, we present the dynamic behaviors of crown formation, central jet, and secondary droplets generated with droplet impact onto a liquid surface by using experimental and computational approaches. In our experiment, the dynamic behaviors after a droplet impact are recorded using a high-speed camera with appropriate resolution and exposure time. On the other hand, we simulate numerically the similar behaviors using the VOF (volume of fluid) solver in the OpenFOAM. As a fluid field, we consider the multiphase flows with free surfaces based on incompressible Navier-Stokes equations in the software codes. Some qualitative comparisons between the experimental and… More >

  • Open Access

    PROCEEDINGS

    Coupling Effects of the Ballast Track Infrastructure on the Dynamic Response of Structurally Independent Railway Bridges

    J.C. Sánchez‐Quesada1, A. Romero2, P. Galvín2,3, E. Moliner1, M.D. Martínez‐ Rodrigo1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-1, 2022, DOI:10.32604/icces.2022.08691

    Abstract This paper is devoted to track-bridge interaction phenomena in railway bridges of short simply-supported (SS) spans composed by ballasted tracks. These structures may experience high vertical acceleration levels under operating conditions. In particular, the coupling effect exerted by the ballast track shared by structural parts that are theoretically independent, such as consecutive simply-supported spans or twin adjacent single-track decks, is investigated. Experimental evidence shows that in these cases there may be an important vibration transmission from the loaded to the unloaded track, and that the interlocked ballast granules couple some of the lowest modes of vibration to an important extent.… More >

  • Open Access

    PROCEEDINGS

    Transient Analysis of Micro/Nano Plates by Moving Finite Element Method

    Ladislav Sator1,*, Vladimir Sladek1, Jan Sladek1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-1, 2022, DOI:10.32604/icces.2022.08679

    Abstract The paper deals with transient analysis of homogeneous as well as FGM (functionally graded material) thin micro/nano plates subjected to transversal dynamic loading. within the highergrade continuum theory of elasticity. The microscopic structure of material is reflected in this higher-grade continuum theory via one material coefficient called the micro-length scale parameter. Furthermore the material can be composed of two micro-constituents what is included in the employed continuum model by functional gradation of the Young’s modulus through the plate thickness with assuming power-law dependence of volume fractions of micro-constituents on the transversal coordinate. The high order derivatives of field variables are… More >

  • Open Access

    PROCEEDINGS

    High Strain Rate Behavior of Harmonic Structure Designed Pure Nickel: Mechanical Characterization, Microstructure Analysis and Modelisation

    Daniel Varadaradjou1,*, Hocine Kebir1, Jérôme Mespoulet2, David Tingaud3, Salima Bouvier1, Paul Deconick2, Kei Ameyama4, Guy Dirras3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-3, 2022, DOI:10.32604/icces.2022.08673

    Abstract The development of new architecture metallic alloys with controlled microstructures is one of the strategic ways for designing materials with high innovation potential and, particularly with improved mechanical properties as required for structural materials [1]. Indeed, unlike conventional counterparts, metallic materials having so-called harmonic structure displays strength and ductility synergy. The latter occurs due to a unique microstructure design: a coarse grain structure surrounded by a 3D continuous network of ultra-fine grain known as “core” and “shell”, respectively. In the present study, pure harmonic-structured (HS) Nickel samples were processed via controlled mechanical milling and followed by spark plasma sintering (SPS),… More >

  • Open Access

    PROCEEDINGS

    Effects of Roughness and Texture on Surface Material Perception in Virtual Environments: The Psychophysics Approach

    Mutian Niu1, Cheng-Hung Lo1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-3, 2022, DOI:10.32604/icces.2022.08669

    Abstract Introduction:
    Through a series of psychophysical experiments, this paper investigates the perceptual difference of roughness and texture on surface materials in immersive Virtual Reality (VR) viewing mode and traditional 2D viewing mode. Visual perception is generally considered as the most reliable perceptual mechanism, which is often studied for exploring and revealing the relationship between cognitive processes and visual information transmission [1]. VR provides users with a strong sense of presence. Furthermore, it utilizes our stereoscopic vision to form a vivid impression of depth. This stereoscopic depth effect thus became a key factor differentiating the experiences in VR and traditional 2D… More >

  • Open Access

    ARTICLE

    Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors

    Majid Hussain1,2,*, Tayab Din Memon3,4, Imtiaz Hussain5, Zubair Ahmed Memon3, Dileep Kumar2

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 435-470, 2022, DOI:10.32604/cmes.2022.020583

    Abstract Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted as a useful approach to avoiding plant disturbances and shutdown. Recently, Motor Current Signature Analysis (MCSA) is widely reported as a condition monitoring technique in the detection and identification of individual and multiple Induction Motor (IM) faults. However, checking the fault detection and classification with deep learning models and its comparison among themselves or conventional approaches is rarely reported in the literature. Therefore, in this work, we present the detection and identification of induction motor faults with MCSA and three Deep Learning (DL) models namely MLP, LSTM, and… More >

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