Open Access
EDITORIAL
Şuayip Yüzbaşı1,*, Kamel Al-Khaled2, Nurcan Baykuş Savaşaneril3, Devendra Kumar4
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 913-915, 2020, DOI:10.32604/cmes.2020.011225
（This article belongs to this Special Issue: Numerical Methods for Differential and Integral Equations)
Abstract This article has no abstract. More >
Open Access
ARTICLE
An Chen1, *
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 917-939, 2020, DOI:10.32604/cmes.2020.09224
（This article belongs to this Special Issue: Numerical Methods for Differential and Integral Equations)
Abstract In this paper, two classes of Riesz space fractional partial differential equations
including space-fractional and space-time-fractional ones are considered. These two
models can be regarded as the generalization of the classical wave equation in two
space dimensions. Combining with the Crank-Nicolson method in temporal direction,
efficient alternating direction implicit Galerkin finite element methods for solving these two
fractional models are developed, respectively. The corresponding stability and convergence
analysis of the numerical methods are discussed. Numerical results are provided to verify
the theoretical analysis. More >
Open Access
ARTICLE
Şuayip Yüzbaşı1, *, Murat Karaçayır1
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 941-956, 2020, DOI:10.32604/cmes.2020.08938
（This article belongs to this Special Issue: Numerical Methods for Differential and Integral Equations)
Abstract In this study, we present a numerical scheme similar to the Galerkin method in
order to obtain numerical solutions of the Bagley Torvik equation of fractional order 3/2. In
this approach, the approximate solution is assumed to have the form of a polynomial in the
variable t = xα
, where α is a positive real parameter of our choice. The problem is firstly
expressed in vectoral form via substituting the matrix counterparts of the terms present
in the equation. After taking inner product of this vector with nonnegative integer powers
of t up to a selected positive parameter N,… More >
Open Access
ARTICLE
Marjan Uddin1, *, Najeeb Ullah2, Syed Inayat Ali Shah2
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 957-972, 2020, DOI:10.32604/cmes.2020.08911
（This article belongs to this Special Issue: Numerical Methods for Differential and Integral Equations)
Abstract In this work, a numerical scheme is constructed for solving nonlinear parabolictype partial-integro differential equations. The proposed numerical scheme is based on
radial basis functions which are local in nature like finite difference numerical schemes.
The radial basis functions are used to approximate the derivatives involved and the integral
is approximated by equal width integration rule. The resultant differentiation matrices are
sparse in nature. After spatial approximation using RBF the partial integro-differential
equations reduce to the system of ODEs. Then ODEs system can be solved by various
types of ODE solvers. The proposed numerical scheme is tested and compared with… More >
Open Access
ARTICLE
Gökçe Yıldız1, Gültekin Tınaztepe2, *, Mehmet Sezer1
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 973-993, 2020, DOI:10.32604/cmes.2020.09329
（This article belongs to this Special Issue: Numerical Methods for Differential and Integral Equations)
Abstract In this article, we approximate the solution of high order linear Fredholm
integro-differential equations with a variable coefficient under the initial-boundary
conditions by Bell polynomials. Using collocation points and treating the solution as a
linear combination of Bell polynomials, the problem is reduced to linear system of
equations whose unknown variables are Bell coefficients. The solution to this algebraic
system determines the approximate solution. Error estimation of approximate solution is
done. Some examples are provided to illustrate the performance of the method. The numerical
results are compared with the collocation method based on Legendre polynomials and the
other two methods… More >
Open Access
ARTICLE
Tao Li1, Qingsheng Yang1, *, Lianhua Ma2, Xiaojun Zhang2, *
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 995-1014, 2020, DOI:10.32604/cmes.2020.09152
Abstract Phase transition of hydrogel, which is polymerized by polymer network, can be
regarded as the transition of polymer network stability. The stability of the polymer
network might be changed when the external environment changed. This change will lead
to the transformation of sensitive hydrogels stability, thus phase transition of hydrogel
take place. Here, we present a new free density energy function, which considers
the non-gaussianity of the polymer network, chains entanglement and functionality of
junctions through adding Gent hyplastic model and Edwards-Vilgis slip-link model to
Flory-Huggins theory. A program to calculate the phase transition temperature was written
based on new… More >
Open Access
ARTICLE
Yang Yang1,*, Jing Dong1, Chao Fang2, Ping Xie3, Na An3
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1015-1031, 2020, DOI:10.32604/cmes.2020.09404
Abstract The development of cloud computing and virtualization technology has
brought great challenges to the reliability of data center services. Data centers
typically contain a large number of compute and storage nodes which may fail
and affect the quality of service. Failure prediction is an important means of
ensuring service availability. Predicting node failure in cloud-based data centers
is challenging because the failure symptoms reflected have complex characteristics, and the distribution imbalance between the failure sample and the normal
sample is widespread, resulting in inaccurate failure prediction. Targeting these
challenges, this paper proposes a novel failure prediction method FP-STE (Failure
Prediction… More >
Open Access
ARTICLE
Gang Zhao1,2, Jiaming Yang1, Wei Wang1,*, Yang Zhang1, Xiaoxiao Du1, Mayi Guo1
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1033-1059, 2020, DOI:10.32604/cmes.2020.09920
（This article belongs to this Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)
Abstract In this paper, a new isogeometric topology optimization (ITO) method
is proposed by using T-splines based isogeometric analysis (IGA). The arbitrarily
shaped design domains, directly obtained from CAD, are represented by a single
T-spline surface which overcomes the topological limitations of Non-Uniform
Rational B-Spline (NURBS). The coefficients correlated with control points are
directly used as design variables. Therefore, the T-spline basis functions applied
for geometry description and calculation of structural response are simultaneously
introduced to represent the density distribution. Several numerical examples show
that the proposed approach leads to a coherent workflow to handle design problems of complicated structures. The… More >
Open Access
ARTICLE
Di Wang1, Guangzhao Ye1, Jingming Mai2, Xiaomin Chen1, Yongqiang Yang1,*, Yang Li1,*, Xiaojun Chen1, Jie Chen1
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1061-1077, 2020, DOI:10.32604/cmes.2020.09842
（This article belongs to this Special Issue: Design & simulation in Additive Manufacturing)
Abstract In this paper, a novel micromixer with complex 3D-shape inner units
was put forward and fabricated by metal Additive Manufacturing (AM). The
design of the micromixer combined the constraints of selective laser melting technology and the factors to improve mixing efficiency. Villermaux-Dushman reaction system and Compute Fluid Design (CFD) simulation were conducted to
investigate the performance and the mechanism of this novel micromixer to
improve mixing efficiency. The research found that the best mixing efficiency
of this novel micromixer could be gained when the inner units divided fluid into
five pieces with a uniform volume. Compared with a conventional micromixer… More >
Open Access
ARTICLE
Shixue Liang1, Zhongshu Xie1, Tiancan Huang2, *
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1079-1103, 2020, DOI:10.32604/cmes.2020.09200
（This article belongs to this Special Issue: Numerical Modeling and Simulation for Structural Safety and Disaster Mitigation)
Abstract Concrete is intrinsically endowed with randomness on meso-scale due to the
random distribution of aggregates, mortar, etc. In this paper, two random medium models
of concrete mesostructure are developed and comparative studies are provided based on
random field representation approach. In the first place, concrete is considered as a kind
of one-phase random field, where stochastic harmonic function is adopted as the approach
to simulate the random field. Secondly, in order to represent the stochastic distribution of
the multi-phase of concrete such as aggregates and mortar, two-phase random field based
on the Nataf transformation and the Hermite polynomials are introduced.… More >
Open Access
ARTICLE
Zishen Li1, Xiangling Gao1, *, Zicheng Tang2
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1105-1129, 2020, DOI:10.32604/cmes.2020.09047
（This article belongs to this Special Issue: Numerical Modeling and Simulation for Structural Safety and Disaster Mitigation)
Abstract The numerical simulation for a new type of precast concrete barrier for viaducts
is carried out systematically. To obtain an accurate representation of the damage state of the
concrete barrier under the impact of a vehicle, a stochastic damage-plasticity model of the
concrete is adopted in the finite element model. Meanwhile, a simplified mathematical
model of the impact between vehicles and the concrete barrier was established and the
input energy was converted to the impact load to facilitate the investigation of the safety
performance of the concrete barriers. On this basis, a refined finite element (FE) model
of a precast… More >
Open Access
ARTICLE
Tomoaki Imoto1, *, Grace S. Shieh2, *, Kunio Shimizu3
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1131-1149, 2020, DOI:10.32604/cmes.2020.08466
（This article belongs to this Special Issue: Data Science and Modeling in Biology, Health, and Medicine)
Abstract For structural comparisons of paired prokaryotic genomes, an important topic in
synthetic and evolutionary biology, the locations of shared orthologous genes (henceforth
orthologs) are observed as binned data. This and other data, e.g., wind directions recorded
at monitoring sites and intensive care unit arrival times on the 24-hour clock, are counted
in binned circular arcs, thus modeling them by discrete circular distributions (DCDs) is
required. We propose a novel method to construct a DCD from a base continuous circular
distribution (CCD). The probability mass function is defined to take the normalized values
of the probability density function at some pre-fixed… More >
Open Access
ARTICLE
Shenkun Zhao, Chao Jiang*, Zhe Zhang, Xiangyun Long
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1151-1173, 2020, DOI:10.32604/cmes.2020.08867
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract In the Prognostics and Health Management (PHM), remaining useful
life (RUL) is very important and utilized to ensure the reliability and safety of
the operation of complex mechanical systems. Recently, unscented Kalman filtering (UKF) has been applied widely in the RUL estimation. For a degradation system, the relationship between its monitored measurements and its degradation
states is assumed to be nonlinear in the conventional UKF. However, in some special degradation systems, their monitored measurements have a linear relation
with their degradation states. For these special problems, it may bring estimation
errors to use the UKF method directly. Besides, many uncertain… More >
Open Access
ARTICLE
Rashmi Gupta1, Manju Khari1, Vipul Gupta1, Elena Verdú2, Xing Wu3, Enrique Herrera-Viedma4, Rubén González Crespo2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1175-1192, 2020, DOI:10.32604/cmes.2020.010092
（This article belongs to this Special Issue: Security Enhancement of Image Recognition System in IoT based Smart Cities)
Abstract The images capture in a bad environment usually loses its fidelity and
contrast. As the light rays travel towards its destination they get scattered several
times due to the tiny particles of fog and pollutants in the environment, therefore
the energy gets lost due to multiple scattering till it arrives its destination, and this
degrades the images. So the images taken in bad weather appear in bad quality.
Therefore, single image haze removal is quite a bit tough task. Significant
research has been done in the haze removal algorithm but in all the techniques,
the coefficient of scattering is taken… More >
Open Access
ARTICLE
Hui Lu, Xinyue Duan, Minghai Xu*, Liang Gong, Bin Ding
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1193-1204, 2020, DOI:10.32604/cmes.2020.08989
（This article belongs to this Special Issue: Advances in Modeling and Simulation of Complex Heat Transfer and Fluid Flow)
Abstract In micro-manufacturing, roughness is unavoidable due to the tolerance
of micro-machining methods. Roughness in microchannel could have a significant
influence on flow and heat transfer since the size of microchannel is very small. In
our work, roughness is modeled as a superposition of waves. A simple Fourier
series method is proposed to construct the rough surface. With this method,
roughness is constructed on the bottom of the rectangular microchannel which
has a hydraulic diameter of 0.5 mm. Two important parameters during roughness
construction, triangulate size and correlation length are studied under the same
relative roughness 1%. Results show that flow… More >
Open Access
ARTICLE
Tongjing Liu1, 2, *, Weixia Liu3, Pengxiang Diwu4, Gaixing Hu5, 6, Ting Xu1, 7, Yuqi Li2, Zhenjiang You8, Runwei Qiao2, Jia Wang2
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1205-1222, 2020, DOI:10.32604/cmes.2020.08961
（This article belongs to this Special Issue: Advances in Modeling and Simulation of Complex Heat Transfer and Fluid Flow)
Abstract Structure of porous media and fluid distribution in rocks can significantly affect the
transport characteristics during the process of microscale tracer flow. To clarify the effect of
micro heterogeneity on aqueous tracer transport, this paper demonstrates microscopic
experiments at pore level and proposes an improved mathematical model for tracer transport.
The visualization results show a faster tracer movement into movable water than it into bound
water, and quicker occupancy in flowing pores than in storage pores caused by the difference of
tracer velocity. Moreover, the proposed mathematical model includes the effects of bound water
and flowing porosity by applying interstitial… More >
Open Access
ARTICLE
Ganggang Hou1, Tongjing Liu1, *, Xinyu Yuan1, Jirui Hou1, Pengxiang Diwu2
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1223-1246, 2020, DOI:10.32604/cmes.2020.09008
（This article belongs to this Special Issue: Advances in Modeling and Simulation of Complex Heat Transfer and Fluid Flow)
Abstract CO2 flooding has been widely studied and applied to improve oil recovery from low
permeability reservoirs. Both the experimental results and the oilfield production data indicate
that produced oil components (POC) will vary during CO2 flooding in low permeability
reservoirs. However, the present researches fail to explain the variation reason and rule. In this
study, the physical model of the POC variation during CO2 flooding in low permeability
reservoir was established, and the variation reason and rule were defined. To verify the
correctness of the physical model, the interaction rule of the oil-CO2 system was studied by
related experiments. The… More >
Open Access
ARTICLE
Weitao Zhang1, 2, Mengqi Liu3, Kaiyi Wang4, Fan Zhang2, Lei Hou1, *
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1247-1266, 2020, DOI:10.32604/cmes.2020.09297
（This article belongs to this Special Issue: Advances in Modeling and Simulation of Complex Heat Transfer and Fluid Flow)
Abstract Accidents involving natural gas leakage and dispersion pose a significant
threat to human life and property. This threat is especially relevant at the street
intersection at which dense buildings, heavy traffic flow, and complex underground pipe
networks meet. Scholars have conducted numerous studies on gas leakage and dispersion,
but investigations of natural gas leakage and dispersion at the street intersection of a
building group are not in-depth. In this paper, we presented a three-dimensional (3D)
physical model based on the Computational Fluid Dynamic (CFD) methodology to study
the natural gas leakage and dispersion at the street intersection of a building… More >
Open Access
ARTICLE
Duo Ma1, 2, 3, Hongyuan Fang1, 2, 3, *, Binghan Xue1, 2, 3, Fuming Wang1, 2, 3, Mohammed A. Msekh4, Chiu Ling Chan5
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1267-1291, 2020, DOI:10.32604/cmes.2020.09122
（This article belongs to this Special Issue: Machine Learning based Methods for Mechanics)
Abstract The crack is a common pavement failure problem. A lack of periodic
maintenance will result in extending the cracks and damage the pavement, which will
affect the normal use of the road. Therefore, it is significant to establish an efficient
intelligent identification model for pavement cracks. The neural network is a method of
simulating animal nervous systems using gradient descent to predict results by learning a
weight matrix. It has been widely used in geotechnical engineering, computer vision,
medicine, and other fields. However, there are three major problems in the application of
neural networks to crack identification. There are too… More >
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