Home / Journals / CMES / Vol.124, No.2, 2020
Table of Content
  • Open Access

    EDITORIAL

    Introduction to the Special Issue Numerical Modeling and Simulation for Structural Safety and Disaster Mitigation

    Xiaodan Ren1,*, Tiancan Huang2
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 411-413, 2020, DOI:10.32604/cmes.2020.012603
    (This article belongs to this Special Issue: Numerical Modeling and Simulation for Structural Safety and Disaster Mitigation)
    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Improving the Seismic Performance of Staircases in Building Structures with a Novel Isolator

    Yafei Zhang1,2, Ping Tan1,2,*, Haitao Ma1,2, Marco Donà1,2
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 415-431, 2020, DOI:10.32604/cmes.2020.09054
    (This article belongs to this Special Issue: Numerical Modeling and Simulation for Structural Safety and Disaster Mitigation)
    Abstract A staircase provides the main escape way from a building in an emergency. Unfortunately, it may suffer severe damages or even collapse during an earthquake. For improving the seismic performance of staircases, this paper proposes an innovative staircase isolator with the features of lightweight, costeffective and ease of construction and replacement, which is formed by suitable engineering plastic shims between rubber layers. A connection construction scheme is also proposed for the isolated staircase. Systematic performance tests have been carried out to characterize the isolator in terms of mechanic behavior and ultimate states. The test results show that mechanical properties of… More >

  • Open Access

    ARTICLE

    Scour Effect on Dynamic Characteristics and Responses of Offshore Wind Turbines

    Dongyue Tang1, Ming Zhao1, *
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 433-457, 2020, DOI:10.32604/cmes.2020.09268
    (This article belongs to this Special Issue: Numerical Modeling and Simulation for Structural Safety and Disaster Mitigation)
    Abstract The monopile foundation is the main form of offshore wind turbine foundation, and its surrounding scouring pit will reduce the constraints of the soil on the piles, which makes wind turbine foundation instability a key issue affecting the structural safety of offshore wind turbines. In previous studies, the rotating rotor and control system are neglected when studying the influence of scour on the offshore wind turbine structure. In this paper, the numerical model of the blade-tower-monopile integrated offshore wind turbine is established, and the influence of scour on the dynamic characteristics of wind turbine is obtained considering parameters, such as… More >

  • Open Access

    ARTICLE

    An Intelligent Predictive Model-Based Multi-Response Optimization of EDM Process

    N. Ganesh1, R. K. Ghadai2, A. K. Bhoi3, K. Kalita4,*, Xiao-Zhi Gao5
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 459-476, 2020, DOI:10.32604/cmes.2020.09645
    Abstract Electrical Discharge Machining (EDM) is a popular non-traditional machining process that is widely used due to its ability to machine hard and brittle materials. It does not require a cutting tool and can machine complex geometries easily. However, it suffers from drawbacks like a poor rate of machining and excessive tool wear. In this research, an attempt is made to address these issues by using an intelligent predictive model coupled global optimization approach to predict suitable combinations of input parameters (current, pulse on-time and pulse off-time) that would effectively increase the material removal rate and minimize the tool wear. The… More >

  • Open Access

    ARTICLE

    A Numerical Efficient Technique for the Solution of Susceptible Infected Recovered Epidemic Model

    Muhammad Shoaib Arif1,*, Ali Raza1,2, Kamaleldin Abodayeh3, Muhammad Rafiq4, Mairaj Bibi5, Amna Nazeer5
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 477-491, 2020, DOI:10.32604/cmes.2020.011121
    Abstract The essential features of the nonlinear stochastic models are positivity, dynamical consistency and boundedness. These features have a significant role in different fields of computational biology and many more. The aim of our paper, to achieve the comparison analysis of the stochastic susceptible, infected recovered epidemic model. The stochastic modelling is a realistic way to study the dynamics of compartmental modelling as compared to deterministic modelling. The effect of reproduction number has also observed in the stochastic susceptible, infected recovered epidemic model. For comparison analysis, we developed some explicit stochastic techniques, but they are the time-dependent techniques. The implicitly driven… More >

  • Open Access

    ARTICLE

    An ETD Method for American Options under the Heston Model

    Rafael Company1, Vera N. Egorova2, Lucas Jódar1,*, Ferran Fuster Valls3
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 493-508, 2020, DOI:10.32604/cmes.2020.010208
    Abstract A numerical method for American options pricing on assets under the Heston stochastic volatility model is developed. A preliminary transformation is applied to remove the mixed derivative term avoiding known numerical drawbacks and reducing computational costs. Free boundary is treated by the penalty method. Transformed nonlinear partial differential equation is solved numerically by using the method of lines. For full discretization the exponential time differencing method is used. Numerical analysis establishes the stability and positivity of the proposed method. The numerical convergence behaviour and effectiveness are investigated in extensive numerical experiments. More >

  • Open Access

    ARTICLE

    Numerical Simulation of Blood Flow in Aorta with Dilation: A Comparison between Laminar and LES Modeling Methods

    Lijian Xu1, Tianyang Yang2, Lekang Yin3, Ye Kong2, Yuri Vassilevski4,5, Fuyou Liang1,5,6,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 509-526, 2020, DOI:10.32604/cmes.2020.010719
    Abstract Computational modeling methods have been increasingly employed to quantify aortic hemodynamic parameters that are challenging to in vivo measurements but important for the diagnosis/treatment of aortic disease. Although the presence of turbulence-like behaviors of blood flow in normal or diseased aorta has long been confirmed, the majority of existing computational model studies adopted the laminar flow assumption (LFA) in the treatment of sub-grid flow variables. So far, it remains unclear whether LFA would significantly compromise the reliability of hemodynamic simulation. In the present study, we addressed the issue in the context of a specific aortopathy, namely aortic dilation, which is… More >

  • Open Access

    ARTICLE

    A State-Based Peridynamic Formulation for Functionally Graded Euler-Bernoulli Beams

    Zhenghao Yang, Erkan Oterkus*, Selda Oterkus
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 527-544, 2020, DOI:10.32604/cmes.2020.010804
    Abstract In this study, a new state-based peridynamic formulation is developed for functionally graded Euler-Bernoulli beams. The equation of motion is developed by using Lagrange’s equation and Taylor series. Both axial and transverse displacements are taken into account as degrees of freedom. Four different boundary conditions are considered including pinned support-roller support, pinned support-pinned support, clamped-clamped and clamped-free. Peridynamic results are compared against finite element analysis results for transverse and axial deformations and a very good agreement is observed for all different types of boundary conditions. More >

  • Open Access

    ARTICLE

    Progressive Damage Analysis (PDA) of Carbon Fiber Plates with Out-of-Plane Fold under Pressure

    Tao Zhang, Jinglan Deng*, Jihui Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 545-559, 2020, DOI:10.32604/cmes.2020.09536
    Abstract The out-of-plane fold is a common defect of composite materials during the manufacturing process and will greatly affect the compressive strength as well as the service life. Making it of great importance to investigate the influence of out-of-plane defects to the compressive strength of laminate plates of composite materials, and to understand the patterns of defect evolution. Therefore, the strip method is applied in this article to create out-of-plane defects with different aspect ratios in laminated plates of composite materials, and a compressive performance test is conducted to quantify the influence of out-of-plane defects. The result shows that the compressive… More >

  • Open Access

    ARTICLE

    Numerical Characterization of the Annular Flow Behavior and Pressure Loss in Deepwater Drilling Riser

    Chengwen Liu1,*, Lin Zhu1, Xingru Wu2,*, Jian Liang1, Zhaomin Li1
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 561-572, 2020, DOI:10.32604/cmes.2020.010699
    Abstract In drilling a deepwater well, the mud density window is narrow, which needs a precise pressure control to drill the well to its designed depth. Therefore, an accurate characterization of annular flow between the drilling riser and drilling string is critical in well control and drilling safety. Many other factors influencing the change of drilling pressure that should be but have not been studied suffi- ciently. We used numerical method to simulate the process of drill string rotation and vibration in the riser to show that the rotation and transverse vibration of drill string can increase the axial velocity in… More >

  • Open Access

    ARTICLE

    Quantum Risk Assessment Model Based on Two Three-Qubit GHZ States

    Tao Zheng, Yan Chang, Shibin Zhang*
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 573-584, 2020, DOI:10.32604/cmes.2020.010445
    Abstract With the acceleration of the construction of quantum communication networks, scholars have proposed different quantum communication protocols for different application scenarios. However, few scholars pay attention to the risk assessment process before communication. In this paper, we propose a novel quantum risk assessment model based on quantum teleportation technology with two three-qubit GHZ states. Only by using Bell states measurements (BSMs) and two-qubit projective measurements (PJMs), the communicators can recovery any arbitrary two-qubit state. This protocol can transmit two-dimension risk assessment factors with better security performance. On the one hand, more sufficient evaluation factors allow the two communicating parties to… More >

  • Open Access

    ARTICLE

    Resolving Domain Integral Issues in Isogeometric Boundary Element Methods via Radial Integration: A Study of Thermoelastic Analysis

    Shige Wang1, Zhongwang Wang1, Leilei Chen1, Haojie Lian2,3,*, Xuan Peng4, Haibo Chen5
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 585-604, 2020, DOI:10.32604/cmes.2020.09904
    (This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
    Abstract The paper applied the isogeometric boundary element method (IGABEM) to thermoelastic problems. The Non-Uniform Rational B-splines (NURBS) used to construct geometric models are employed to discretize the boundary integral formulation of the governing equation. Due to the existence of thermal stress, the domain integral term appears in the boundary integral equation. We resolve this problem by incorporating radial integration method into IGABEM which converts the domain integral to the boundary integral. In this way, IGABEM can maintain its advantages in dimensionality reduction and more importantly, seamless integration of CAD and numerical analysis based on boundary representation. The algorithm is verified… More >

  • Open Access

    ARTICLE

    Analysis-Aware Modelling of Spacial Curve for Isogeometric Analysis of Timoshenko Beam

    Yang Xia*, Luting Deng, Jian Zhao
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 605-626, 2020, DOI:10.32604/cmes.2020.010204
    (This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
    Abstract Geometric fitting based on discrete points to establish curve structures is an important problem in numerical modeling. The purpose of this paper is to investigate the geometric fitting method for curved beam structure from points, and to get high-quality parametric model for isogeometric analysis. A Timoshenko beam element is established for an initially curved spacial beam with arbitrary curvature. The approximation and interpolation methods to get parametric models of curves from given points are examined, and three strategies of parameterization, meaning the equally spaced method, the chord length method and the centripetal method are considered. The influences of the different… More >

  • Open Access

    ARTICLE

    A High-Accuracy Single Patch Representation of Multi-Patch Geometries with Applications to Isogeometric Analysis

    Jinlan Xu*, Ningning Sun, Gang Xu
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 627-642, 2020, DOI:10.32604/cmes.2020.010341
    (This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
    Abstract This paper presents a novel approximating method to construct highprecision single-patch representation of B-spline surface from a multi-patch representation for isogeometric applications. In isogeometric analysis, multi-patch structure is not easy to achieve high continuity between neighboring patches which will reduce the advantage of isogeometric analysis in a sense. The proposed method can achieve high continuity at surface stitching region with low geometric error, and this technique exploits constructing the approximate surface with several control points are from original surfaces, which guarantees the local feature of the surface can be well-preserved with high precision. With the proposed approximating method, isogeometric analysis… More >

  • Open Access

    ARTICLE

    Investigation of Granite Deformation Process under Axial Load Using LSTM-Based Architectures

    Yalei Wang1, Jinming Xu1,2,*, Mostafa Asadizadeh3, Chuanjiang Zhong4, Xuejie Tao1
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 643-664, 2020, DOI:10.32604/cmes.2020.09866
    (This article belongs to this Special Issue: Machine Learning based Methods for Mechanics)
    Abstract Granite is generally composed of quartz, biotite, feldspar, and cracks. The changes in digital parameters of these compositions reflect the detail of the deformation process of the rock. Therefore, the estimation of the changes in digital parameters of the compositions is much helpful to understand the deformation and failure stages of the rock. In the current study, after dividing the frames in the video images photographed during the axial compression test into four parts (or, the upper left, upper right, lower left, and lower right ones), the digital parameters of various compositions in each part were then extracted. Using these… More >

  • Open Access

    ARTICLE

    Fractional-Order Model for Multi-Drug Antimicrobial Resistance

    M. F. Elettreby1, 2, *, Ali S. Alqahtani1, E. Ahmed2
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 665-682, 2020, DOI:10.32604/cmes.2020.09194
    (This article belongs to this Special Issue: Data Science and Modeling in Biology, Health, and Medicine)
    Abstract Drug resistance is one of the most serious phenomena in financial, economic and medical terms. The present paper proposes and investigates a simple mathematical fractional-order model for the phenomenon of multi-drug antimicrobial resistance. The model describes the dynamics of the susceptible and three kinds of infected populations. The first class of the infected society responds to the first antimicrobial drug but resists to the second one. The second infected individuals react to the second antimicrobial drug but resist to the first one. The third class shows resistance to both of the two drugs. We formulate the model and associate it… More >

  • Open Access

    ARTICLE

    Effect of Absorption of Patch Antenna Signals on Increasing the Head Temperature

    Mohamed Abbas1,3,*, Ali Algahtani2,6, Amir Kessentini2,4,7, Hassen Loukil1,5, Muneer Parayangat1, Thafasal Ijyas1, Abdul Wase Mohammed1
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 683-701, 2020, DOI:10.32604/cmes.2020.010304
    (This article belongs to this Special Issue: Data Science and Modeling in Biology, Health, and Medicine)
    Abstract Every new generation of antennas is characterized by increased accuracy and faster transmission speeds. However, patch antennas have been known to damage human health. This type of antenna sends out electromagnetic waves that increase the temperature of the human head and prevent nerve strands from functioning properly. This paper examines the effect of the communication between the patch antenna and the brain on the head’s temperature by developing a hypothetical multi-input model that achieves more accurate results. These inputs are an individual’s blood and tissue, and the emission power of the antenna. These forces depend on the permeability and conductivity… More >

  • Open Access

    ARTICLE

    A New Finite Element Model with Manufactured Error for Additive Manufacturing

    Zhaohui Xia1,2, Zhihao He2, Qifu Wang1, Yingjun Wang2,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 703-720, 2020, DOI:10.32604/cmes.2020.010368
    (This article belongs to this Special Issue: Design & simulation in Additive Manufacturing)
    Abstract Additive manufacturing (AM), adding materials layer by layer, can be used to produce objects of almost any shape or geometry. However, AM techniques cannot accurately build parts with large overhangs, especially for the large features close to horizontal, hanging over the void. The overhangs will make the manufactured model deviate from the design model, which will result in the performance of the manufactured model that cannot satisfy the design requirements. In this paper, we will propose a new finite element (FE) analysis model that includes the manufacturing errors by mimicking the AM layer by layer construction process. In such FE… More >

  • Open Access

    ARTICLE

    Image Information Hiding Method Based on Image Compression and Deep Neural Network

    Xintao Duan1, *, Daidou Guo1, Chuan Qin2
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 721-745, 2020, DOI:10.32604/cmes.2020.09463
    (This article belongs to this Special Issue: Information Hiding and Multimedia Security)
    Abstract Image steganography is a technique that hides secret information into the cover image to protect information security. The current image steganography is mainly to embed a smaller secret image in an area such as a texture of a larger-sized cover image, which will cause the size of the secret image to be much smaller than the cover image. Therefore, the problem of small steganographic capacity needs to be solved urgently. This paper proposes a steganography framework that combines image compression. In this framework, the Vector Quantized Variational AutoEncoder (VQ-VAE) is used to achieve the compression of the secret image. The… More >

  • Open Access

    ARTICLE

    Enhancing Embedding-Based Chinese Word Similarity Evaluation with Concepts and Synonyms Knowledge

    Fulian Yin, Yanyan Wang, Jianbo Liu*, Meiqi Ji
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 747-764, 2020, DOI:10.32604/cmes.2020.010579
    (This article belongs to this Special Issue: Information Hiding and Multimedia Security)
    Abstract Word similarity (WS) is a fundamental and critical task in natural language processing. Existing approaches to WS are mainly to calculate the similarity or relatedness of word pairs based on word embedding obtained by massive and high-quality corpus. However, it may suffer from poor performance for insuf- ficient corpus in some specific fields, and cannot capture rich semantic and sentimental information. To address these above problems, we propose an enhancing embedding-based word similarity evaluation with character-word concepts and synonyms knowledge, namely EWS-CS model, which can provide extra semantic information to enhance word similarity evaluation. The core of our approach contains… More >

  • Open Access

    ARTICLE

    A Local Sparse Screening Identification Algorithm with Applications

    Hao Li1,2, Zhixia Wang1,2, Wei Wang1,2,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 765-782, 2020, DOI:10.32604/cmes.2020.010061
    (This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
    Abstract Extracting nonlinear governing equations from noisy data is a central challenge in the analysis of complicated nonlinear behaviors. Despite researchers follow the sparse identification nonlinear dynamics algorithm (SINDy) rule to restore nonlinear equations, there also exist obstacles. One is the excessive dependence on empirical parameters, which increases the difficulty of data pre-processing. Another one is the coexistence of multiple coefficient vectors, which causes the optimal solution to be drowned in multiple solutions. The third one is the composition of basic function, which is exclusively applicable to specific equations. In this article, a local sparse screening identification algorithm (LSSI) is proposed… More >

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