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Future challenges and opportunities for the geotechnical teaching
Published in Iacint Manoliu, Ion Antonescu, Nicoleta Rădulescu, Geotechnical Engineering Education and Training, 2020
E8. (Elements 1–9, 1–10 and 1–12). Improve the research and quality of the national geotechnical consulting work, to avoid the intrusion of foreign geotechnical firms. Be aware of the international globalization and free marketing that exists nowadays.
Hydromechanical behaviour of a marl on controlled suction oedometer path
Published in European Journal of Environmental and Civil Engineering, 2020
Feth-Ellah Mounir Derfouf, Nabil Abou-Bekr, Said Taibi, Mohammed Amine Allal, Assia Benchouk
Every test follows three phases. The first one consists of applying a total mechanical stress of 100 kPa. For series 1 and in the case of the test E5 (S = 200 kPa), a saturated slurry was directly consolidated in the odometer cell. For all the other tests, a large quantity of material was prepared as saturated slurry than consolidated to a total vertical stress of 100 kPa in an appropriate consolidometer. For each test (E6, E7, E8), samples were extruded from the obtained sampler, then placed in the cell odometer and reloaded to 100 kPa in saturated conditions. In the case of series 2, the samples were prepared at desired water content and statically compacted in the oedometer cell ring, then loaded to a total vertical stress of 100 kPa at constant water contents. After 24 h, the suction was applied to the samples (second phase). The period of time necessary to reach equilibrium during this step does not exceed 5 days. The last phase consists of loading and unloading samples under the imposed suction. The application of the mechanical loading was done by steps. The period of each step depends mainly on the magnitude of the applied load and the imposed suction.
New modified-majority voter-based efficient QCA digital logic design
Published in International Journal of Electronics, 2019
Ali Newaz Bahar, Firdous Ahmad, Shahjahan Wani, Safina Al-Nisa, Ghulam Mohiuddin Bhat
In Figure 6(a,b), we calculate the potential energy of each electron (e1, e2, e3, e4, e5, e6, e7, e8, e9 and e10) with the electrons “x” and “y” in state (a) and state (b) using Equations (2) and (3). For example, is the potential energy existing between electrons and x (or y). Also, is the distance between two electron charges. Therefore, the total potential energy () can be calculated using Equation (4). The comparison of potential energy in both states (state (a) and state (b)) shows, which state is more stable. The state which has lower potential energy level is considered as the more stable one. The value of Cell 1 can be computed using the input cells A, B and C and Cell 2 and Cell 3. Here, Cell 2 and Cell 3 have a diagonal effect on Cell 1. Therefore, the result of this cell is transferred to the output cell, which gives us a majority decision of inputs (A, B and C). In a similar manner, we can compute the value of Cell 4, Cell 5 and Cell 6. Here, the first part of the proof is calculated; therefore, the proof method is similar for all cells and their values. This proof is stated and the rest of the relations are omitted.
Development of the emulsions containing modified fats formed via enzymatic interesterification catalyzed by specific lipase with various amount of water
Published in Journal of Dispersion Science and Technology, 2019
Małgorzata Kowalska, Magdalena Woźniak, Anna Krzton-Maziopa, Serge Tavernier, Łukasz Pazdur, Anna Żbikowska
In order to confirm the previously indicated information, the Turbiscan Stability Index, which provides an information about kinetics of coalescence in a function of sample shelf-life was determined. When analyzing the TSI values, it was observed that emulsions E6, E7, and E8 were characterized by the lowest value of the coefficient. It is assumed that the low value of the coefficient and the smallest change in the value of this parameter during sample storage prove the stable nature of the system.[46] Considering the above, emulsions E1, E5, and E10 were the most unstable systems (Figure 5). They showed a high variation of TSI (the highest increase).