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A Simplified Model for the Prediction of Long Term Concrete Drying Shrinkage
D. Boucherit,S. Kenai,E. Kadri,J. M. Khatib 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.7
This paper presents a model developed to estimate the long-term drying shrinkage of concrete. This model was derived by means of statistical analysis using published experimental data. The accuracy of the proposed model was favourably compared with four common methods. The proposed model was validated by comparison with available experimental data. The performance of the model was also compared to that of other models by mean of residual value and the sensitivity to some parameters and square error. It was found that a good estimation of long term drying shrinkage was obtained using this model.
Quantum Interference Channeling at Graphene Edges
Yang, Heejun,Mayne, Andrew J.,Boucherit, Mohamed,Comtet, Geneviè,ve,Dujardin, Gé,rald,Kuk, Young American Chemical Society 2010 NANO LETTERS Vol.10 No.3
<P>Electron scattering at graphene edges is expected to make a crucial contribution to the electron transport in graphene nanodevices by producing quantum interferences. Atomic-scale scanning tunneling microscopy (STM) topographies of different edge structures of monolayer graphene show that the localization of the electronic density of states along the C−C bonds, a property unique to monolayer graphene, results in quantum interference patterns along the graphene carbon bond network, whose shapes depend only on the edge structure and not on the electron energy.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/nalefd/2010/nalefd.2010.10.issue-3/nl9038778/production/images/medium/nl-2009-038778_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl9038778'>ACS Electronic Supporting Info</A></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl9038778'>ACS Electronic Supporting Info</A></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl9038778'>ACS Electronic Supporting Info</A></P>
Boutheyna Gasmi,Mohamed Athmane Yallese,Septi Boucherit,Salim Chihaoui,Tarek Mabrouki 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.86 No.1
The purpose of this research is to assess the performance of CBN and ceramic tools during the dry turning of gray cast iron EN GJL-350. During the turning operation, the variable machining parameters are cutting speed, feed rate, depth of cut and type of the cutting material. This contribution consists of two sections, the first one deals with the performance evaluation of four materials in terms of evolution of flank wear, surface roughness (2D and 3D) and cutting forces. The focus of the second section is on statistical analysis, followed by modeling and optimization. The experiments are conducted according to the Taguchi design L32 and based on ANOVA approach to quantify the impact of input factors on the output parameters, namely, the surface roughness (Ra), the cutting force (Fz), the cutting power (Pc), specific cutting energy (Ecs). The RSM method was used to create prediction models of several technical factors (Ra, Fz, Pc, Ecs and MRR). Subsequently, the desirability function approach was used to achieve a multi-objective optimization that encompasses the output parameters simultaneously. The aim is to obtain optimal cutting regimes, following several cases of optimization often encountered in industry. The results found show that the CBN tool is the most efficient cutting material compared to the three ceramics. The optimal combination for the first case where the importance is the same for the different outputs is Vc=660 m/min, f=0.116 mm/rev, ap=0.232 mm and the material CBN. The optimization results have been verified by carrying out confirmation tests.
Tlemcani, A.,Bouchhida, O.,Benmansour, K.,Boudana, D.,Boucherit, M.S. The Korean Institute of Electrical Engineers 2009 Journal of Electrical Engineering & Technology Vol.4 No.1
This paper introduces the design of a fuzzy logic controller in conjunction with direct torque control strategy for a Permanent Magnet synchronous machine. A stator flux angle mapping technique is proposed to reduce significantly the size of the rule base to a great extent so that the fuzzy reasoning speed increases. Also, a fuzzy resistance estimator is developed to estimate the change in the stator resistance. The change in the steady state value of stator current for a constant torque and flux reference is used to change the value of stator resistance used by the controller to match the machine resistance.
A. Tlemcani,O. Bouchhida,K. Benmansour,D. Boudana,M. S. Boucherit 대한전기학회 2009 Journal of Electrical Engineering & Technology Vol.4 No.1
This paper introduces the design of a fuzzy logic controller in conjunction with direct torque control strategy for a Permanent Magnet synchronous machine. A stator flux angle mapping technique is proposed to reduce significantly the size of the rule base to a great extent so that the fuzzy reasoning speed increases. Also, a fuzzy resistance estimator is developed to estimate the change in the stator resistance. The change in the steady state value of stator current for a constant torque and flux reference is used to change the value of stator resistance used by the controller to match the machine resistance.
Gain Scheduling GMV using Gaussian Function for Nonlinear hysteretic Structural Systems
L. GUENFAF,S. ALLAOUA,M. DJEBIRI,M.S. BOUCHERIT,F. BOUDJEMA 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
In this paper, a generalized minimum variance algorithm using the gain scheduling technique is presented. First, we linearize the nonlinear model of the structure around a number of desired states representing regions of evolution of the structural response. Around each state, an Auto-Regressive-Moving-Average-eXogen (ARMAX) model of the structure is determined and a local GMV control law is developed. The control consists on switching-on or switching-off a local GMV controller depending on the actual state of the system. The approach consists on using gaussian membership functions related to the domains around the points of linearization. The control from the local GMV controllers is weighed by these functions and added together to produce the final control.