Temat: multi-layer - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Numerical simulation and experimental bending behaviour of multi-layer sandwich structures
Autorzy:: Arbaoui, J.
Schmitt, Y.
Pierrot, J-L.
Royer, F-X.
Powiązania:: https://bibliotekanauki.pl/articles/279468.pdf
Data publikacji:: 2014
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: multi-layer sandwich
polypropylene honeycomb
modelling
bending
Opis:: In this paper, an experimental investigation, an analytical analysis and a numerical model of a typical four-point bending test on a polypropylene honeycomb multi-layer sandwich panel are proposed. The polypropylene honeycomb core is modelled as a single solid and multi-layer of equivalent material properties. Analytical and numerical (finite element) homogenization approaches are used to compute the effective properties of the single honeycomb core and analytical homogenization of the multi-layer one. The results obtained by numerical simu- lation (finite element) of four-point bending are compared with the experimental results of a polypropylene honeycomb core/composite facing multi-layer sandwich structures.
Źródło:: Journal of Theoretical and Applied Mechanics; 2014, 52, 2; 431-442
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The selected problems of multi-layer pavements modelling in design and diagnostics
Autorzy:: Graczyk, M.
Rafa, J.
Powiązania:: https://bibliotekanauki.pl/articles/241609.pdf
Data publikacji:: 2007
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: multi-layer
pavement
modelling
dynamic impact
thermal impact
Opis:: This paper will present selected problems connected with modelling of multi-layer pavements. Multi-layer pavement models, which utilize solutions such as the one of Boussinesq, Burmister, Kogan, Odemark and others, contain many simplifications, which bas a significant influence on the estimated real value of stress, strain, deflection as well as on the coefficient of pavement layers interaction. In the article based on the experiments carried out, we want to present our own layered-pavement models and solutions to them, which can be used mainly in the diagnostics of bearing capacity. The estimation of bearing capacity is conducted on the basis of full time data obtained with the FWD device. Moreover, the conclusions implicated by the above mentioned analysis are of big importance in design and operation process of road and airfield pavements. They pertain not only to the influence of modulus and thickness of particular layers but also to the way of pavement layers interaction, Poisson's coefficient, thermal characteristics and others.
Źródło:: Journal of KONES; 2007, 14, 1; 209-218
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Development of a neural statistical model for the prediction of relative humidity levels in the region of Rabat-Kenitra, North West Morocco
Autorzy:: El Azhari, Kaoutar
Abdallaoui, Badreddine
Dehbi, Ali
Abdalloui, Abdelaziz
Zineddine, Hamid
Powiązania:: https://bibliotekanauki.pl/articles/2174362.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: artificial neural network
ANN
learning algorithm
multi-layer perceptron
MLP
modelling
Rabat-Kenitra
relative humidity
Opis:: This article accounts for the development of a powerful artificial neural network (ANN) model, designed for the prediction of relative humidity levels, using other meteorological parameters such as the maximum temperature, minimum temperature, precipitation, wind speed, and intensity of solar radiation in the Rabat-Kenitra region (a coastal area where relative humidity is a real concern). The model was applied to a database containing a daily history of five meteorological parameters collected by nine stations covering this region from 1979 to mid-2014. It has been demonstrated that the best performing three-layer (input, hidden, and output) ANN mathematical model for the prediction of relative humidity in this region is the multi-layer perceptron (MLP) model. This neural model using the Levenberg-Marquard algorithm, with an architecture of [5-11-1] and the transfer functions Tansig in the hidden layer and Purelin in the output layer, was able to estimate relative humidity values that were very close to those observed. This was affirmed by a low mean squared error (MSE) and a high correlation coefficient (R), compared to the statistical indicators relating to the other models developed as part of this study.
Źródło:: Journal of Water and Land Development; 2022, 54; 13--20
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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