Open Access
EDITORIAL
Jian Xiong1,*, Jinshui Yang2, Hui Li3, Wu Xu4
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 357-359, 2022, DOI:10.32604/cmes.2022.023418
（This article belongs to this Special Issue: Mechanics of Composite Materials and Structures)
Abstract This article has no abstract. More >
Open Access
REVIEW
Quan Wen1, Fulei Jing1,*, Changxian Zhang1, Shibai Tang1, Junjie Yang2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 361-391, 2022, DOI:10.32604/cmes.2022.019528
（This article belongs to this Special Issue: Recent Trends in Thermal Barrier Coatings for Turbine Blades: Theory, Simulation, and Experiment)
Abstract Thermally grown oxide (TGO) is a critical factor for the service life of thermal barrier coatings (TBC). Numerical
simulations of the growth process of TGO have become an effective means of comprehensively understanding the
progressive damage of the TBC system. At present, technologies of numerical simulation to TGO growth include
two categories: coupled chemical-mechanical methods and mechanical equivalent methods. The former is based
on the diffusion analysis of oxidizing elements, which can describe the influence of bond coat (BC) consumption
and phase transformation in the growth process of TGO on the mechanical behavior of each layer of TBC, and
has… More >
Open Access
ARTICLE
Evren Hincal, Amna Hashim Alzadjali
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 393-411, 2022, DOI:10.32604/cmes.2022.019781
Abstract Excellent student’s academic performance is the uppermost priority and goal of educators and facilitators. The dubious marginal rate between admission and graduation rates unveils the rates of dropout and withdrawal from school. To improve the academic performance of students, we optimize the performance indices to the dynamics describing the academic performance in the form of nonlinear system ODE. We established the uniform boundedness of the model and the existence and uniqueness result. The independence and interdependence equilibria were found to be locally and globally asymptotically stable. The optimal control analysis was carried out, and lastly, numerical simulation was run to… More >
Open Access
ARTICLE
Chengya Hua1, Leihua Yao1,*, Chenguang Song1, Qihang Ni1, Dongfang Chen2
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 413-434, 2022, DOI:10.32604/cmes.2022.020260
Abstract A new variational method treating the system as a whole with rigorous mathematical and physical derivation
was presented in this paper. Combined with classical and engineering examples, variational energy expressions
of slopes were derived. In addition, the calculation programs were written in the FISH language set in FLAC3D
(fast Lagrangian analysis of continua in three dimensions) software. Factors of safety (FOSs) of the models were
determined by the variational method based on the strength reduction method (SRM) and then compared with
other criteria or methods. The result showed that the variational method reflected the process of slope plasticity and
failure… More >
Open Access
ARTICLE
Adel Hamdan Mohammad1,* , Sami Smadi2, Tariq Alwada’n3
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 435-450, 2022, DOI:10.32604/cmes.2022.020088
Abstract Undoubtedly, spam is a serious problem, and the number of spam emails is increased rapidly. Besides, the massive
number of spam emails prompts the need for spam detection techniques. Several methods and algorithms are used
for spam filtering. Also, some emergent spam detection techniques use machine learning methods and feature
extraction. Some methods and algorithms have been introduced for spam detecting and filtering. This research
proposes two models for spam detection and feature selection. The first model is evaluated with the email spam
classification dataset, which is based on reducing the number of keywords to its minimum. The results of… More >
Open Access
ARTICLE
Jun Zou*, Haolei Mou
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 451-469, 2022, DOI:10.32604/cmes.2022.020111
（This article belongs to this Special Issue: New Trends in Structural Optimization)
Abstract The integration of topology optimization (TO) and additive manufacturing (AM) technologies can create significant synergy benefits, while the lack of AM-friendly TO algorithms is a serious bottleneck for the application
of TO in AM. In this paper, a TO method is proposed to design self-supporting structures with an explicit
continuous self-supporting constraint, which can be adaptively activated and tightened during the optimization
procedure. The TO procedure is suitable for various critical overhang angles (COA), which is integrated with
build direction assignment to reduce performance loss. Besides, a triangular directional self-supporting constraint
sensitivity filter is devised to promote the downward evolution… More >
Open Access
ARTICLE
Yongsong Li1, Xiaomeng Yin2, Yanming Xu1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 471-488, 2022, DOI:10.32604/cmes.2022.020201
（This article belongs to this Special Issue: Recent Advance of the Isogeometric Boundary Element Method and its Applications)
Abstract The isogeometric boundary element technique (IGABEM) is presented in this study for steady-state inhomogeneous heat conduction analysis. The physical unknowns in the boundary integral formulations of the governing
equations are discretized using non-uniform rational B-spline (NURBS) basis functions, which are utilized to
build the geometry of the structures. To speed up the assessment of NURBS basis functions, the B´ezier extraction
approach is used. To solve the extra domain integrals, we use a radial integration approach. The numerical examples
show the potential of IGABEM for dimension reduction and smooth integration of CAD and numerical analysis. More >
Open Access
ARTICLE
Asad Ejaz1, Yasir Nawaz1, Muhammad Shoaib Arif1,3,*, Daoud S. Mashat2, Kamaleldin Abodayeh3
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 489-506, 2022, DOI:10.32604/cmes.2022.019440
（This article belongs to this Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics)
Abstract The present study is concerned with formulating a predator-prey eco-epidemiological mathematical model
assuming that an infection exists in the predator species. The two classes of predator species (susceptible and
infected) compete for the same sources available in the environment with the predation option. It is assumed
that the disease does not spread vertically. The proposed model is analyzed for the stability of the coexistence
of the predators and prey. The fixed points are carried out, and the coexisting fixed point is studied in detail by
constructing the Lyapunov function. The movement of species in search of food or protection in… More >
Open Access
ARTICLE
Xiaowei Gu1,#, Shuwen Chen1,2,#,*, Huisheng Zhu1, Mackenzie Brown3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 507-530, 2022, DOI:10.32604/cmes.2022.018948
（This article belongs to this Special Issue: Computer-Assisted Imaging Processing and Machine Learning Applications on Diagnosis of Chest Radiograph)
Abstract Coronavirus disease 2019 brings a huge burden on the medical industry all over the world. In the background
of artificial intelligence (AI) and Internet of Things (IoT) technologies, chest computed tomography (CT) and
chest X-ray (CXR) scans are becoming more intelligent, and playing an increasingly vital role in the diagnosis
and treatment of diseases. This paper will introduce the segmentation of methods and applications. CXR and CT
diagnosis of COVID-19 based on deep learning, which can be widely used to fight against COVID-19. More >
Open Access
ARTICLE
Jinfu Wang1, Shunyi Zhao1,*, Fei Liu1, Zhenyi Ma2
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 531-552, 2022, DOI:10.32604/cmes.2022.019521
（This article belongs to this Special Issue: Advances on Modeling and State Estimation for Industrial Processes)
Abstract In modern industry, process monitoring plays a significant role in improving the quality of process conduct. With
the higher dimensional of the industrial data, the monitoring methods based on the latent variables have been
widely applied in order to decrease the wasting of the industrial database. Nevertheless, these latent variables do
not usually follow the Gaussian distribution and thus perform unsuitable when applying some statistics indices,
especially the T2 on them. Variational AutoEncoders (VAE), an unsupervised deep learning algorithm using the
hierarchy study method, has the ability to make the latent variables follow the Gaussian distribution. The partial
least squares… More >
Open Access
ARTICLE
Debiao Meng1,2,3, Shiyuan Yang1, Tao Lin4,5,*, Jiapeng Wang1, Hengfei Yang1, Zhiyuan Lv1
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 553-568, 2022, DOI:10.32604/cmes.2022.020756
（This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
Abstract Actual engineering systems will be inevitably affected by uncertain factors. Thus, the Reliability-Based Multidisciplinary Design Optimization (RBMDO) has become a hotspot for recent research and application in complex engineering system design. The Second-Order/First-Order Mean-Value Saddlepoint Approximate (SOMVSA/FOMVSA) are two popular reliability analysis strategies that are widely used in RBMDO. However, the SOMVSA method can only be used efficiently when the distribution of input variables is Gaussian distribution, which significantly limits its application. In this study, the Gaussian Mixture Model-based Second-Order Mean-Value Saddlepoint Approximation (GMM-SOMVSA) is introduced to tackle above problem. It is integrated with the Collaborative Optimization (CO) method to… More >
Open Access
ARTICLE
Rui Yong1,2,*, Jun Ye1,2, Shigui Du1,2, Aqin Zhu1, Yingying Zhang1
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 569-584, 2022, DOI:10.32604/cmes.2022.019509
（This article belongs to this Special Issue: Extension, Modeling and Applications of Fuzzy Set Theory in Engineering and Science)
Abstract The simplified neutrosophic number (SNN) can represent uncertain, imprecise, incomplete, and inconsistent
information that exists in scientific, technological, and engineering fields. Hence, it is a useful tool for describing
truth, falsity, and indeterminacy information in multiple attribute decision-making (MADM) problems. To suit
decision makers’ preference selection, the operational flexibility of aggregation operators shows its importance
in dealing with the flexible decision-making problems in the SNN environment. To solve this problem, this
paper develops the Aczel-Alsina aggregation operators of SNNs for MADM problems in view of the Aczel-Alsina
operational flexibility. First, we define the Aczel-Alsina operations of SNNs. Then, the Aczel-Alsina… More >
Open Access
ARTICLE
Wenqian Zhang1, Jingwen Chen1,*, Saleem Riaz3, Naiwen Zheng1, Li Li2
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 585-604, 2022, DOI:10.32604/cmes.2022.020523
（This article belongs to this Special Issue: Artificial Intelligence in Renewable Energy and Storage Systems)
Abstract Distributed collaborative control strategies for microgrids often use periodic time to trigger communication,
which is likely to enhance the burden of communication and increase the frequency of controller updates, leading
to greater waste of communication resources. In response to this problem, a distributed cooperative control
strategy triggered by an adaptive event is proposed. By introducing an adaptive event triggering mechanism in
the distributed controller, the triggering parameters are dynamically adjusted so that the distributed controller can
communicate only at a certain time, the communication pressure is reduced, and the DC bus voltage deviation
is effectively reduced, at the same time,… More >
Open Access
ARTICLE
Xiaoxin Yang1, Saleem Riaz2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 605-626, 2022, DOI:10.32604/cmes.2022.020412
（This article belongs to this Special Issue: Artificial Intelligence in Renewable Energy and Storage Systems)
Abstract An iterative learning control algorithm based on error backward association and control parameter correction has
been proposed for a class of linear discrete time-invariant systems with repeated operation characteristics, parameter disturbance, and measurement noise taking PD type example. Firstly, the concrete form of the accelerated
learning law is presented, based on the detailed description of how the control factor is obtained in the algorithm.
Secondly, with the help of the vector method, the convergence of the algorithm for the strict mathematical proof,
combined with the theory of spectral radius, sucient conditions for the convergence of the algorithm is presented
for… More >
Open Access
ARTICLE
Xiaona Fan, Qin Zhao, Guochen Sang, Yiyun Zhu*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 627-660, 2022, DOI:10.32604/cmes.2022.020507
（This article belongs to this Special Issue: Numerical Methods in Engineering Analysis, Data Analysis and Artificial Intelligence)
Abstract Indoor thermal comfort and passive solar heating technologies have been extensively studied. However, few studies
have explored the suitability of passive solar heating technologies based on differentiated thermal comfort demands.
This work took the rural dwellings in Northwest China as the research object. First, the current indoor and
outdoor thermal environment in winter and the mechanism of residents’ differentiated demand for indoor thermal
comfort were obtained through tests, questionnaires, and statistical analysis. Second, a comprehensive passive
optimized design of existing buildings was conducted, and the validity of the optimized combination scheme was
explored using DesignBuilder software. Finally, the suitability of… More >
Open Access
ARTICLE
Xiaoxuan Zhu1, Xueyan Wang2, Li Lei1,*, Yuting Zhao1
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 661-679, 2022, DOI:10.32604/cmes.2022.020427
（This article belongs to this Special Issue: Numerical Methods in Engineering Analysis, Data Analysis and Artificial Intelligence)
Abstract In this study, numerical simulations were used to explore the effects of roadside green belt, urban street spatial
layout, and wind speed on vehicle exhaust emission diffusion in street canyon. The diffusion of different sized
particles in the street canyon and the influence of wind speed were investigated. The individual daily average
pollutant intake was used to evaluate the exposure level in a street canyon microenvironment. The central and
leeward green belts of the road were the most conducive to the diffusion of pollutants, while the positioning of the
green belts both sides of a road was least conducive to… More >
Open Access
ARTICLE
Mei Tao1, Qingwen Ren1,*, Hanbing Bian2, Maosen Cao1, Yun Jia3
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 681-705, 2022, DOI:10.32604/cmes.2022.019522
（This article belongs to this Special Issue: Numerical Methods in Engineering Analysis, Data Analysis and Artificial Intelligence)
Abstract Soil-rock mixture (SRM) filling in fault zone is an inhomogeneous geomaterial, which is composed of soil and rock block. It controls the deformation and stability of the abutment and dam foundation, and threatens the long-term safety of high arch dams. To study the macroscopic and mesoscopic mechanical properties of SRM, the development of a viable mesoscopic numerical simulation method with a mesoscopic model generation technology, and a reasonable parametric model is crucially desired to overcome the limitations of experimental conditions, specimen dimensions, and experiment fund. To this end, this study presents a mesoscopic numerical method for simulating the mechanical behavior… More >
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