Open Access
REVIEW
Mohammad Maghsoudi-Ganjeh, Xiaodu Wang*, Xiaowei Zeng*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 1-32, 2020, DOI:10.32604/cmes.2020.012123
Abstract In this review, a brief presentation is first given to the hierarchical
structure and mechanical behavior of bone. Then, the recent advancements
in nanoscale characterization of bone ultrastructure and ingredients are discussed based on an extensive quantity of references in the literature.Moreover,
computational and analytical bone mechanics at ultrastructure levels are critically reviewed with the growing body of knowledge in the field. The computational and analytical models are summarized in several categories for ease of
understanding bone nanomechanics and their applicability/limitations. This
review is expected to provide a well-informed foundation for the researchers
interested in interrogating the complex biomechanical response… More >
Open Access
ARTICLE
Hui Sheng Lim1,*, Christopher K. H. Chin1, Shuhong Chai1, Neil Bose1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 33-50, 2020, DOI:10.32604/cmes.2020.011648
Abstract This paper presents an online AUV (autonomous underwater vehicle)
path planner that employs path replanning approach and the SDEQPSO (selective
differential evolution-hybridized quantum-behaved particle swarm optimization)
algorithm to optimize an AUV mission conducted in an unknown, dynamic and
cluttered ocean environment. The proposed path replanner considered the effect
of ocean currents in path optimization to generate a Pareto-optimal path that
guides the AUV to its target within minimum time. The optimization was based
on the onboard sensor data measured from the environment, which consists of a
priori unknown dynamic obstacles and spatiotemporal currents. Different sensor
arrangements for the forward-looking sonar… More >
Open Access
ARTICLE
Fabio Bruzzone, Cristiana Delprete, Carlo Rosso*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 51-64, 2020, DOI:10.32604/cmes.2020.011023
Abstract This paper is focused on finite element simulation of cylinder head gaskets. Finite element codes support several methodologies, each of which has its own
strengths and weaknesses. One of the key points lies in the influence of the gasket
geometry on its final behaviour. Such a contribution can come from the detailed
modelling of the gasket or by defining a global non-linear behaviour in which material and geometry non-linearities are summarised. Two approaches were used to
simulate the gasket behaviour. The first one consists in using a 2D approach, which
allows to model through-thickness non-linear behaviour of gasket. The second… More >
Open Access
ARTICLE
Ivan Paulo Canal1,*, Manuel Martin Pérez Reimbold2, Maurício de Campos2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 65-75, 2020, DOI:10.32604/cmes.2020.010741
Abstract An aircraft quadrotor is a complex control system that allows for great
flexibility in flight. Controlling multirotor aerial systems such as quadrotors is
complex because the variables involved are not always available, known, and
accurate. The inclusion of payload changes the dynamic characteristics of the aircraft, making it necessary to adapt the control system for this situation. Among
the various control methods that have been investigated, proportional-integralderivative (PID) control offers good results and simplicity of application; however, achieving stability and high performance is challenging, with the most
critical task being tuning the controller gains. The Ziegler–Nichols (ZN) theory
was used… More >
Open Access
ARTICLE
Jianrui Zhang1,2, Min Chi1, Bo Qian1,*, Zhijun Qiu2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 77-94, 2020, DOI:10.32604/cmes.2020.010518
Abstract To accurately perform the coupled simulation of temperature field
and stress field of complex parts and porous structures under the optimal
manufacturing process parameters, three kinds of porous structures with
different complexity were designed in this paper. Firstly, ANSYS additive
software was used to conduct the stress/deformation simulation of the whole
structure under different scanning strategies. Secondly, the optimal scanning
strategy for different porous structures was determined, then the experimental preparation was performed, and mechanical properties of compression
were tested and studied. The results show that the elastic modulus and
yield strength increase with the increase of pole diameter/wall thickness.… More >
Open Access
ARTICLE
Xijun Zhang*, Qirui Zhang
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 95-109, 2020, DOI:10.32604/cmes.2020.011013
Abstract According to the time series characteristics of the trajectory history
data, we predicted and analyzed the traffic flow. This paper proposed a LSTMXGBoost model based urban road short-term traffic flow prediction in order to
analyze and solve the problems of periodicity, stationary and abnormality of time
series. It can improve the traffic flow prediction effect, achieve efficient traffic
guidance and traffic control. The model combined the characteristics of LSTM
(Long Short-Term Memory) network and XGBoost (Extreme Gradient Boosting)
algorithms. First, we used the LSTM model that increases dropout layer to train
the data set after preprocessing. Second, we replaced the… More >
Open Access
ARTICLE
Jia Yang1, Haiyuan Liu1,*, Hao He2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 111-123, 2020, DOI:10.32604/cmes.2020.010347
Abstract The prediction of intrinsically disordered proteins is a hot research area
in bio-information. Due to the high cost of experimental methods to evaluate disordered regions of protein sequences, it is becoming increasingly important to
predict those regions through computational methods. In this paper, we developed
a novel scheme by employing sequence complexity to calculate six features for
each residue of a protein sequence, which includes the Shannon entropy, the topological entropy, the sample entropy and three amino acid preferences including
Remark 465, Deleage/Roux, and Bfactor(2STD). Particularly, we introduced the
sample entropy for calculating time series complexity by mapping the amino… More >
Open Access
ARTICLE
G. R. Hemalakshmi*, D. Santhi, V. R. S. Mani, A. Geetha, N. B. Prakash
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 125-143, 2020, DOI:10.32604/cmes.2020.011331
Abstract Diabetic retinopathy, aged macular degeneration, glaucoma etc. are
widely prevalent ocular pathologies which are irreversible at advanced stages.
Machine learning based automated detection of these pathologies facilitate
timely clinical interventions, preventing adverse outcomes. Ophthalmologists
screen these pathologies with fundus Fluorescein Angiography Images (FFA)
which capture retinal components featuring diverse morphologies such as
retinal vasculature, macula, optical disk etc. However, these images have
low resolutions, hindering the accurate detection of ocular disorders. Construction of high resolution images from these images, by super resolution
approaches expedites the diagnosis of pathologies with better accuracy. This
paper presents a deep learning network for Single… More >
Open Access
ARTICLE
Dan Li1, Li Ding1, Zhengang Liu2, Qiang Li3, Kaiyun Guo1, Hailin Cao1,4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 145-171, 2020, DOI:10.32604/cmes.2020.010822
Abstract Carbon nanotube (CNT)-reinforced composites have ultra-high
elastic moduli, low densities, and fibrous structures. This paper presents the
multi-scale finite element modeling of CNT-reinforced polymer composites
from micro- to macro-scales. The nanocomposites were modeled using representative volume elements (RVEs), and finite element code was written to simulate the modeling and loading procedure and obtain equivalent mechanical
properties of the RVEs with various volume fractions of CNTs, which can be
used directly in the follow-up simulation studies on the macroscopic model of
CNT-reinforced nanocomposites. When using the programming to simulate
the deformation and fracture process of the CNT-reinforced epoxy composites, the mechanical… More >
Open Access
ARTICLE
An Chen*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 173-195, 2020, DOI:10.32604/cmes.2020.011871
Abstract In this paper, we consider the numerical schemes for a timefractional Oldroyd-B fluid model involving the Caputo derivative. We propose
two efficient finite element methods by applying the convolution quadrature
in time generated by the backward Euler and the second-order backward
difference methods. Error estimates in terms of data regularity are established
for both the semidiscrete and fully discrete schemes. Numerical examples for
two-dimensional problems further confirm the robustness of the schemes with
first- and second-order accurate in time. More >
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