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    Wyświetlanie 1-4 z 4
    Tytuł:
    Behavior of RC columns strengthened with steel jacket under static axial load
    Autorzy:
    Ghoneim, Abd Rahman Mujahid Ahmed
    Mohamed, Mohamed Mahmoud Ahmed
    Haridy, Kader
    Ahmed, Hazem
    Pyram, Mohmmad
    Khalf, Abdu
    Powiązania:
    https://bibliotekanauki.pl/articles/27312173.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    słup żelbetowy
    wzmacnianie
    utwierdzenie
    kątownik stalowy
    taśma stalowa
    reinforced concrete column
    strengthening
    confinement
    steel angle
    steel strip
    Opis:
    The column is one of the most significant structural elements, which is designed to support mainly the compressive load. Strengthening of existing reinforced concrete columns is required to enhance ductility and increase load capacity to sustain the overload as sometimes there may be a change in use. Ten rectangular concrete columns were constructed and tested. H/b ratio was kept constant and equals 6 for all columns. The aim of this work is to study the behaviour and efficiency of RC columns strengthened with steel jackets subjected to axial load. An experimental study of the behaviour of ten strengthened concrete columns with slenderness ratio (H/b) equals 6 was carried out. Variables such as aspect ratio (t/b), the volume of steel batten plates, and spacing of steel batten plates at centres (S) were considered. The results showed that using this method of strengthening is very effective and an increase in the axial load capacity of the strengthened columns is obtained.
    Źródło:
    Archives of Civil Engineering; 2023, 69, 2; 367--379
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of submerged floor water jets to minimize the scour downstream from a stepped spillway
    Autorzy:
    Ibrahim, Mohamed M.
    Diwedar, Al Sayed Ibrahim
    Ibraheem, Ahmed Mahmoud
    Powiązania:
    https://bibliotekanauki.pl/articles/1841974.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    floor jets
    flume
    jet rows
    stepped spillway
    scour depth
    scour length
    Opis:
    Because of hydraulic jump, the scour downstream a stepped spillway is the most confusing issue that endangers the overall stability of the spillway. In this paper, thirty-six exploratory runs are described to explore the impact of utilizing submerged water jets fixed in the stilling basin of a stepped spillway on the downstream scour measurements under various flow conditions. A smooth apron where the water jets are disabled is incorporated to characterize the impact of adjustments studied. Trials are performed utilizing different upstream discharges, jets arrangements, and tailwater depths. The results are analyzed and graphically presented. The experimental data are contrasted to a scour formulae developed by other specialists. Outcomes indicated that by utilizing submerged floor water jets, the maximum scour depth is decreased between 14.3 and 36.0%. Additionally, the maximum scour length is reduced by 9.7 to 42.3%. Finally, involving regression analysis, simple formulas are developed to estimate different scour parameters.
    Źródło:
    Journal of Water and Land Development; 2021, 50; 122-129
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Energy-Aware WiFi Network Selection via Forecasting Energy Consumption
    Autorzy:
    Abdrabou, Atef
    Darwish, Mohamed
    Dalao, Ahmed
    AlKaabi, Mohammed
    Abutaqiya, Mahmoud
    Powiązania:
    https://bibliotekanauki.pl/articles/226857.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    energy
    consumption
    forecast
    WiFi
    IoT
    Opis:
    Covering a wide area by a large number of WiFi networks is anticipated to become very popular with Internet-of-things (IoT) and initiatives such as smart cities. Such network configuration is normally realized through deploying a large number of access points (APs) with overlapped coverage. However, the imbalanced traffic load distribution among different APs affects the energy consumption of a WiFi device if it is associated to a loaded AP. This research work aims at predicting the communication-related energy that shall be consumed by a WiFi device if it transferred some amount of data through a certain selected AP. In this paper, a forecast of the Energy consumption is proposed to be obtained using an algorithm that is supported by a mathematical model. Consequently, the proposed algorithm can automatically select the best WiFi network (best AP) that the WiFi device can connect to in order to minimize energy consumption. The proposed algorithm is experimentally validated in a realistic lab setting. The observed performance indicates that the algorithm can provide an accurate forecast to the energy that shall be consumed by a WiFi transceiver in sending some amount of data via a specific AP.
    Źródło:
    International Journal of Electronics and Telecommunications; 2020, 66, 2; 339-345
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A two-stage stochastic programming approach for production planning system with seasonal demand
    Autorzy:
    Mahmoud, Asmaa A.
    Aly, Mohamed F.
    Mohib, Ahmed M.
    Afefy, Islam H.
    Powiązania:
    https://bibliotekanauki.pl/articles/952860.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    process manufacturing system
    two-stage stochastic programming
    sampling average approximation
    Opis:
    Seasonality is a function of a time series in which the data experiences regular and predictable changes that repeat each calendar year. Two-stage stochastic programming model for real industrial systems at the case of a seasonal demand is presented. Sampling average approximation (SAA) method was applied to solve a stochastic model which gave a productive structure for distinguishing and statistically testing a different production plan. Lingo tool is developed to obtain the optimal solution for the proposed model which is validated by Math works Matlab. The actual data of the industrial system; from the General Manufacturing Company, was applied to examine the proposed model. Seasonal future demand is then estimated using the multiplicative seasonal method, the effect of seasonality was presented and discussed. One might say that the proposed model is viewed as a moderately accurate tool for industrial systems in case of seasonal demand. The current research may be considered a significant tool in case of seasonal demand. To illustrate the applicability of the proposed model a numerical example is solved using the proposed technique. ANOVA analysis is applied using MINITAB 17 statistical software to validate the obtained results.
    Źródło:
    Management and Production Engineering Review; 2020, 11, 1; 31--42
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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