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  • Open Access

    ABSTRACT

    Inverse Analysis of Viscoelastic Material Properties Considering Time- and Temperature-Dependence of Poisson’s Ratio

    Shotaro Taguchi1,*, Satoru Yoneyama2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 20-20, 2021, DOI:10.32604/icces.2021.08535

    Abstract This study proposes a method for identifying viscoelastic properties that considers time- and temperature dependence of Poisson's ratio using inverse analysis. In this method, displacement distribution, which are input values of inverse analysis, is measured by digital image correlation [1], and unknown material properties are determined using the virtual fields method [2]. This method targets plane stress condition and the Poisson's ratio of the viscoelastic body depends on the time and temperature [3]. This study focuses on the correspondence law and proposes a method for calculating stresses considering time- and temperature dependence of Poisson's ratio. In-plane strains are measured and… More >

  • Open Access

    ABSTRACT

    Multi-physics CFD Simulation in a Jet Engine

    Makoto Yamamoto1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 19-19, 2021, DOI:10.32604/icces.2021.08478

    Abstract In a turbine of a jet engine, deposition phenomenon is often observed. Deposition is a phenomenon that particles such as volcanic ash, sand and dust passing through a combustion chamber of a jet engine are melt, rapidly cooled and then accumulate on the turbine blade and end-wall surfaces. Deposition is one of critical problems when aircraft flies in a cloud with many particles. Obviously, deposition can degrade the aerodynamic performance of the turbine blade and vane, and make partial or complete blockage of film-cooling holes. As the result, deposition deteriorates safety and life time of the turbine. In the past… More >

  • Open Access

    ABSTRACT

    Symmetric Notches Cause Strengthening in Brittle Metallic glasses

    Yun Teng1, Zhendong Sha1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 18-18, 2021, DOI:10.32604/icces.2021.08471

    Abstract For all engineering materials, the flaws are introduced inevitably from fabrication, mechanical damage, and corrosion. These stress raisers always induce catastrophic failures and it is therefore of great importance to understand the effect of flaws on the mechanical properties of engineering materials. The effect of flaws on metallic glasses (MGs) is a debatable topic because many relevant works have reported notch strengthening, notch weakening and notch insensitivity for brittle MGs. The significant notch strengthening of MGs was attributed to the transition of failure mechanism, from catastrophic shear banding to ductile fracture. Here we investigate systematically the influence of notch geometry… More >

  • Open Access

    ABSTRACT

    Residual Strength and Microdamage of Cortical Bone After Non-Destructive Creep Loading

    Ei Yamamoto1,*, Yuki Tanifuji2, Masaya Nishimoto2, Yuki Kawamura2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 17-17, 2021, DOI:10.32604/icces.2021.08434

    Abstract Bone tissue is a viscoelastic material which shows time-dependent mechanical manner. Moreover, it is known that bone microdamage is generated by physiological normal mechanical loading in vivo [1-3]. In order to know basic insight into the adverse effects of creep loading on bone strength, in the present study, we focused on the mechanical behavior of cortical bone after nondestructive creep loading at high stress magnitude. Cylindrical specimens were obtained from cortical bone in the longitudinal and tangential direction of bovine femur. We statically applied a compressive stress to the specimens (creep group) for 24 hours. The specimens without creep loading… More >

  • Open Access

    ABSTRACT

    Estimation of Turbulent Flow from Wall Information via Machine Learning

    Yousuke Shimoda1, Takahiro Matsumori1, Kazuki Sato1, Tatsuro Hirano1, Naoya Fukushima1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 16-16, 2021, DOI:10.32604/icces.2021.08337

    Abstract Along with rapid development of computer technologies, a wide range of turbulent flows have been investigated by direct numerical simulations and the big databases have been built throughout the world. From the DNS results, we can investigate turbulent characteristics in three-dimensional space and time. In the laboratory experiment, we can apply sophisticated laser diagnostics technique to measure flow field non-invasively in research. On actual equipment, it is very difficult to get the flow field data away from the wall. We can measure only wall information, such as wall shear stresses and pressure. When we predict turbulence from wall information, we… More >

  • Open Access

    ABSTRACT

    Nonlinear Vibration Analysis of Seismic-isolation Laminated Rubber Considering Bi-directional Restoring Force Model

    Ayumi Takahashi1,*, Tomoyuki Tsuchiya2, Keiichi Motoyama3, Kazuhito Misaji1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 15-15, 2021, DOI:10.32604/icces.2021.08354

    Abstract The seismic-isolation laminated rubber is used as a means of suppressing damage to the structures caused by an earthquake. To design the seismically isolated structure, it is important to calculate the dynamic response reflecting the rubbers characteristics accurately. The authors have applied the nonlinear vibration analysis method using the restoring force model of the power function type to the seismic response analysis of seismic isolation rubber in horizontal unidirectional [1-3]. However, when seismic isolation laminated rubber is loaded in horizontal bi-direction, the seismic isolation laminated rubber is torsional deformed and breaks with less force than when loaded in unidirectional. It… More >

  • Open Access

    ARTICLE

    An Efficient Medium Access Control Mechanism for Flying Ad-hoc Networks

    Muhammad Asghar Khan1,*, Fazal Noor2, Insaf Ullah3, Sajjad ur Rehman4, Shibli Nisar5, Mohaira Ahmad5

    Computer Systems Science and Engineering, Vol.38, No.1, pp. 47-63, 2021, DOI:10.32604/csse.2021.016430

    Abstract The Flying Ad-hoc Networks (FANETs) is characterized by the transition from a single large Unmanned Aerial Vehicle (UAV) to multiple small UAVs connected in an ad-hoc fashion. Since high mobility is the core feature of such networks, they are prone to route breaks within the links. The issue of connectivity loss can be coped with, to some extent, by making use of omnidirectional antennas. Such modification, however, curtails Quality-of-Service (QoS) requirements of networks in terms of bandwidth, media access delay, coverage and others. Alternately, directional antennas have advantages over omnidirectional antennas such as improved transmission range, spatial reuse and high… More >

  • Open Access

    ARTICLE

    Differential Evolution Algorithm Based Self-adaptive Control Strategy for Fed-batch Cultivation of Yeast

    Aiyun Hu1, Sunli Cong1,*, Jian Ding2, Yao Cheng1, Enock Mpofu3

    Computer Systems Science and Engineering, Vol.38, No.1, pp. 65-77, 2021, DOI:10.32604/csse.2021.016404

    Abstract In the fed-batch cultivation of Saccharomyces cerevisiae, excessive glucose addition leads to increased ethanol accumulation, which will reduce the efficiency of glucose utilization and inhibit product synthesis. Insufficient glucose addition limits cell growth. To properly regulate glucose feed, a different evolution algorithm based on self-adaptive control strategy was proposed, consisting of three modules (PID, system identification and parameter optimization). Performance of the proposed and conventional PID controllers was validated and compared in simulated and experimental cultivations. In the simulation, cultivation with the self-adaptive control strategy had a more stable glucose feed rate and concentration, more stable ethanol concentration around the… More >

  • Open Access

    ARTICLE

    Residential Electricity Classification Method Based On Cloud Computing Platform and Random Forest

    Ming Li1, Zhong Fang2, Wanwan Cao1, Yong Ma1,*, Shang Wu1, Yang Guo1, Yu Xue3, Romany F. Mansour4

    Computer Systems Science and Engineering, Vol.38, No.1, pp. 39-46, 2021, DOI:10.32604/csse.2021.016189

    Abstract With the rapid development and popularization of new-generation technologies such as cloud computing, big data, and artificial intelligence, the construction of smart grids has become more diversified. Accurate quick reading and classification of the electricity consumption of residential users can provide a more in-depth perception of the actual power consumption of residents, which is essential to ensure the normal operation of the power system, energy management and planning. Based on the distributed architecture of cloud computing, this paper designs an improved random forest residential electricity classification method. It uses the unique out-of-bag error of random forest and combines the Drosophila… More >

  • Open Access

    ARTICLE

    Generalized Class of Mean Estimators with Known Measures for Outliers Treatment

    Ibrahim M. Almanjahie1,2, Amer Ibrahim Al-Omari3,*, Emmanuel J. Ekpenyong4, Mir Subzar5

    Computer Systems Science and Engineering, Vol.38, No.1, pp. 1-15, 2021, DOI:10.32604/csse.2021.015933

    Abstract In estimation theory, the researchers have put their efforts to develop some estimators of population mean which may give more precise results when adopting ordinary least squares (OLS) method or robust regression techniques for estimating regression coefficients. But when the correlation is negative and the outliers are presented, the results can be distorted and the OLS-type estimators may give misleading estimates or highly biased estimates. Hence, this paper mainly focuses on such issues through the use of non-conventional measures of dispersion and a robust estimation method. Precisely, we have proposed generalized estimators by using the ancillary information of non-conventional measures… More >

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