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- 저자 : Belaidi, (검색결과 5 건)
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Tribological behavior of concrete with different mineral additions
Belaidi, Amina,Hacene, Mohammed Amine Boukli,Kadri, El-Hadj,Taleb, Omar Techno-Press 2021 Advances in concrete construction Vol.11 No.3
The present work aims at investigating the effects of using various fine mineral additions as partial replacement to Portland cement on the tribological properties of concrete. To achieve this goal, concrete mixtures were prepared with different percentages (10, 20 and 30%) of limestone fillers (LF) and natural pozzolana (NP), and (20, 40 and 60%) of blast furnace slag (BFS). The interface yield stress (τ0) and viscous constants (η) that allow characterizing friction at the concrete-pipe wall interface were determined using a rotational tribometer. In addition, the compositions of the boundary layers that formed in the pumping pipes of the different concretes under study were also identified and analyzed. The experimental results obtained showed that the concretes studied have a linear tribological behavior that can be described by the Bingham model. Furthermore, the use of different mineral additions, especially limestone fillers and blast furnace slags, even at high rates, had a beneficial effect on the optimization of the volume of paste present in the boundary layer, which made it possible to significantly reduce the viscous constant of concrete. However, a maximum rate of 10% of natural pozzolana was recommended to achieve tribological properties that are favorable to the pumpability of concrete.
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Non-homogeneous Linear Differential Equations with Solutions of Finite Order
Belaidi, Benharrat Department of Mathematics 2005 Kyungpook mathematical journal Vol.45 No.1
In this paper we investigate the growth of finite order solutions of the differential equation $f^{(k)}\;+\;A_{k-1}(Z)f^{(k-l)}\;+\;{\cdots}\;+\;A_1(z)f^{\prime}\;+\;A_0(z)f\;=\;F(z)$, where $A_0(z),\;{\cdots}\;,\;A_{k-1}(Z)\;and\;F(z)\;{\neq}\;0$ are entire functions. We find conditions on the coefficients which will guarantees the existence of an asymptotic value for a transcendental entire solution of finite order and its derivatives. We also estimate the lower bounds of order of solutions if one of the coefficient is dominant in the sense that has larger order than any other coefficients.
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On the Order of Growth of Solutions to Complex Non-homogeneous Linear Differential Equations
Habib, Habib,Belaidi, Benharrat Department of Mathematics 2016 Kyungpook mathematical journal Vol.56 No.3
In this paper, we study the order of growth of solutions to the non-homogeneous linear differential equation $$f^{(k)}+A_{k-1}e^{az}f^{(k-1)}+{\cdots}+A_1e^{az}f^{\prime}+A_0e^{az}f=F_1e^{az}+F_2e^{bz}$$, where $A_j(z)$ (${\not\equiv}0$) ($j=0,1,{\cdots},k-1$), $F_j(z)$ (${\not\equiv}0$) (j = 1, 2) are entire functions and a, b are complex numbers such that $ab(a-b){\neq}0$.
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Abdelmoumin Ouladbrahim,Idir Belaidi,Samir Khatir,Erica Magagnini,Roberto Capozucca,Magd Abdel Wahab 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.2
The Gurson–Tvergaard–Needleman damage model (GTN) describes the three stages of ductile tearing of steel: nucleation,growth and coalescence of micro-voids. This work is divided into two main parts. In the first part, based on the inverseanalysis and the comparison between the experimental and numerical data, the parameters of the GTN damage model inconjunction with the hardening law are determined. The identification is broadened to include a considerable number ofexperimental tests drawn from our previous works and other works done at ALFAPIPE Ghardaia laboratory. In the secondpart, an Artificial Neural Network model is developed to predict the parameters of the (GTN) model coupled with the hardeninglaw that goes through the prediction of traction and impact properties of API X70 steel pipe depending on its chemicalcomposition. The weight of the chemical elements in percentages is considered as the inputs and the GTN parameters areconsidered as the outputs. In order to validate the obtained ANNGTN parameters, traction and impact tests are simulated. The numerical results are compared with the experimental ones and revealed that the developed model is very precise andhas the potential to capture the interaction of GTN parameters coupled with hardening law and chemical composition ofsteel pipelines.
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Hassan Nour,Oussama Abchir,Salah Belaidi,Faizan Abul Qais,Samir Chtita,Said Belaaouad 대한화학회 2022 Bulletin of the Korean Chemical Society Vol.43 No.2
Currently, anti-butyrylcholinesterase (anti-BuChE)is among the greatest therapeutic agents for the treatment of Alzheimer's disease. In this research, a series of 36 carbamate derivatives were subjected to a quantitative structure?activity relationships study using DFT and Lipinski's descriptors. Multiple linear regression (MLR) was used to explore the relationships between the structural features of these compounds and BuChE inhibitory activity. In order to generate results applicable in the experimental plan, the Organization of Economic Cooperation and Development guidelines were adopted. The quality of MLR model was evaluated by several statistical parameters including internal and external validation parameters (R2, R2adj, F, VIF, R2test, Q2CV, R2Rand, Q2CV [Rand], and cRp2). The built model displayed a high predictive power (R2test =?0.817). What is more, the internal validation parameters (Q2CV =?0.774; average R2Rand =?0.118; average Q2CV [Rand] =??0.438; cRp2 =?0.820) highlight the robustness of our built model. Besides, the obtained result revealed that anti-BuChE activity is mainly attributed to the following molecular descriptors: octanol?water partition (log P), highest occupied molecular orbital energy (EHOMO), total energy (ET), and dipole moment (?). Based on these findings, a series of newer synthesizable compounds with enhanced anti-BuChE activities were designed and their ADMET and drug-likeness properties were further predicted to filter out compounds likely to fail during drug development stages. Finally, molecular docking and molecular dynamics were performed to identify the binding types between the best designed compounds and BuChE enzyme.
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