Calculation of the Pavement Reinforced Design Using Model of Multilayered Plate on the Elastic Base

2016 ◽  
Vol 835 ◽  
pp. 484-488
Author(s):  
Sergey A. Matveev ◽  
E.A. Martynov ◽  
N.N. Litvinov
Keyword(s):  
Experimental Data ◽  
Granular Material ◽  
Elastic Base ◽  
Calculation Model ◽  
Crushed Stone ◽  
Exponential Dependence ◽  
Multilayered Plate ◽  
Layer Depth ◽  
Method Of Calculation ◽  
Reinforced Bases

In article the calculation model of the reinforced crushed-stone-sand basis of pavement with the variable module of elasticity changing on layer depth on exponential dependence is offered. The calculation model is based on representation of the reinforced layer of granular material as the multilayered plate consisting of any quantity of the continuous layers which are rigidly connect among themselves. The method of calculation of the reinforced bases of pavement leaning on experimental data is offered. A concrete example of calculation is reviewed.

Pavement Design Reinforced Base Researches

2016 ◽  
Vol 835 ◽  
pp. 478-483
Author(s):  
Sergey A. Matveev ◽  
E.A. Martynov ◽  
N.N. Litvinov
Keyword(s):  
Pavement Design ◽  
Steel Fibers ◽  
Experimental Results ◽  
Crushed Stone ◽  
Plastic Shell ◽  
Deformation Characteristics ◽  
Multilayered Plate ◽  
Galerkin’S Method ◽  
Method Of Calculation ◽  
Elastic Basis

Stamp tests results of the two-layer basis from the crushed stone and sand reinforced by geogrid with steel fibers in a plastic shell are given in report. Deformation characteristics of the reinforced design are received. Experimentally established deflections of the reinforced basis are compared with the results received theoretically. Thus the reinforced layer of crushed stone is considered as a multilayered plate on the elastic basis. Bubnov-Galerkin's method of calculation is used. Satisfactory coincidence of theoretical and experimental results is received. The effect of reinforcement on deflections is established.

A fuzzy neural network approach for modeling the growth kinetics of FeB and Fe2B layers during the boronizing process

2018 ◽  
Vol 106 (6) ◽  
pp. 603 ◽  
Author(s):  
Bendaoud Mebarek ◽  
Mourad Keddam
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Fuzzy Neural Network ◽  
Treatment Time ◽  
Calculation Model ◽  
Average Error ◽  
Network Approach ◽  
Neural Network Approach ◽  
Fuzzy Neural ◽  
Kinetics Of

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.

scholarly journals WAVE FORCES ON SQUARE CAISSONS

1976 ◽  
Vol 1 (15) ◽  
pp. 132 ◽  
Author(s):  
G.R. Mogridge ◽  
W.W. Jamieson
Keyword(s):  
Experimental Data ◽  
Theoretical Method ◽  
Wave Forces ◽  
Simple Method ◽  
Method Of Calculation ◽  
Wave Flume ◽  
Wide Range ◽  
Wave Heights ◽  
And Storage ◽  
Water Depths

The forces and overturning moments exerted by waves on large vertical square-section caissons have been measured in the laboratory. Each model caisson extended from the bottom of a wave flume through the water surface and was oriented either with one side perpendicular to the direction of wave propagation or turned through an angle of forty-five degrees to this position. For a given orientation, each model was tested for a range of wave heights (up to the point of breaking) for various wave periods and water depths. A digital computer was used for the acquisition, processing, plotting and storage of the experimental data. In addition to the experimental work, an approximate theoretical method is presented which allows the wave loadings on a square caisson to be estimated by means of a simple desk calculation. The experimental data shows that this simple method of calculation is reasonably accurate over a wide range of wave conditions and caisson sizes.

Correlation of Theoretical Analysis With Experimental Data on The Performance of Charring Ablators

1976 ◽  
Vol 98 (1) ◽  
pp. 139-143 ◽  
Author(s):  
K. Mastanaiah
Keyword(s):  
Experimental Data ◽  
Thermal Conductivity ◽  
Heat Flux ◽  
Theoretical Analysis ◽  
Experimental System ◽  
Wall Heat Flux ◽  
System Response ◽  
Exponential Dependence ◽  
Cold Wall ◽  
Static Test

Experimental data are obtained for surface recession, char depth, and temperatures in silica phenolic and carbon phenolic ablators from static test conducted on rocket nozzles. In an attempt to correlate the theoretical analysis with the experimental observations, it is found that the effective thermal conductivity of char is strongly dependent on the wall heat flux. An hypothesis is postulated that the char conductivity can best be correlated by cold wall heat flux treated as a generalized variable that includes the effects of other factors like temperature and chemical composition of the char. Exponential dependence of char conductivity on the cold wall heat flux is observed for both the ablators, and has offered excellent comparison between the theoretical and the experimental system response.

Study on Diffusion Processes of Water and Proton in PEM Using Molecular Dynamics Simulation

2011 ◽  
Vol 704-705 ◽  
pp. 1266-1272 ◽  
Author(s):  
Lei Chen ◽  
Wen Quan Tao
Keyword(s):  
Experimental Data ◽  
Molecular Dynamics ◽  
Water Content ◽  
Diffusion Processes ◽  
Calculation Model ◽  
Dynamics Simulation ◽  
Water Molecules ◽  
Hydrogen Ions ◽  
Model Cell ◽  
Dynamics Calculation

In this paper a molecular dynamics calculation model for the Nafion 117 membrane is constructed by Materials Studio (MS) software platform to study its micro-structure and transport properties. Based on the calculation model, cell structures of different water content of Nafion 117 membrane are obtained and the predicted density values of simulated cell are in good agreement with experimental data. Meanwhile, the diffusion processes of water molecules and hydrogen ions in the membrane are studied, respectively. The predicted diffusion coefficients of both water molecules and hydrogen ions increase with the water content, which agrees well with the variation trend of experimental data. The reasons for the deviation between numerical results and the experiment values in literature are analyzed.

scholarly journals Measurement of displacement cross section of structural materials utilized in the proton accelerator facilities with the kinematic energy above 400 MeV

2020 ◽  
Vol 239 ◽  
pp. 06006
Author(s):  
Shin-ichiro MEIGO ◽  
Hiroki MATSUDA ◽  
Yosuke IWAMOTO ◽  
Makoto YOSHIDA ◽  
Shoichi HASEGAWA ◽  
...  
Keyword(s):  
Experimental Data ◽  
Cross Section ◽  
Lower Energy ◽  
Previous Experiment ◽  
Calculation Model ◽  
Proton Accelerator ◽  
Damage Estimation ◽  
Accelerator Facility ◽  
The Difference ◽  
Displacement Per Atom

For damage estimation of structural material in the accelerator facility, displacement per atom (DPA) is widely employed as an index of the damage calculated based on the displacement cross section obtained with the calculation model. Although the DPA is employed as the standard, the experimental data of displacement cross section are scarce for a proton in the energy region above 20 MeV. Among the calculation models, the difference exists about 8 times so that experimental data of the displacement cross section is crucial to validate the model. To obtain the displacement cross section, we conducted the experiment in J-PARC. As a preliminary result, the displacement cross section of copper was successfully obtained for 3-GeV proton. The present results showed that the widely utilized the Norgertt-Robinson-Torrens (NRT) model overestimates the cross section as suggested by the previous experiment for protons with lower energy.

scholarly journals A Calculation Model to Estimate the Electrical Performance of a Photovoltaic Panel

2021 ◽  
Vol 65 (2-4) ◽  
pp. 256-263
Author(s):  
Mario A. Cucumo ◽  
Vittorio Ferraro ◽  
Dimitrios Kaliakatsos ◽  
Francesco Nicoletti ◽  
Albino Gigliotti
Keyword(s):  
Experimental Data ◽  
Mechanical Energy ◽  
Electrical Power ◽  
Calculation Model ◽  
Electrical Performance ◽  
Photovoltaic Panel ◽  
Electrical Efficiency ◽  
The Mean ◽  
Set Up ◽  
The University

In this study, the thermal and electrical modeling of a photovoltaic panel is performed to evaluate its temperature profiles, electrical efficiency and the electrical power supplied. The energy balance equations under transient conditions of all the layers that make up the panel are discretized by the finite difference technique and solved with the implicit method. The results are validated with experimental data provided by an experimental set-up located on the roof of a building of the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria. The comparison with the experimental data allows us to see an excellent approximation of the distribution of temperatures inside the panel and in particular of the photovoltaic cells, accurately evaluating the effect on electrical efficiency and the electrical power supplied. The validation was performed with reference to a clear winter day and a clear summer day. The mean square error was about 1.5°C on the panel temperature and about 3 W on the electrical power (1.2% of the maximum power).

Kinetics of renin-antirenin reaction: micromethods for the assay of renin and antirenin

1975 ◽  
Vol 228 (4) ◽  
pp. 973-979 ◽  
Author(s):  
E Haas ◽  
H Goldblatt ◽  
RL Klick ◽  
L Lewis
Keyword(s):  
Experimental Data ◽  
Lower Limit ◽  
Rate Constant ◽  
Rate Constants ◽  
Data Accuracy ◽  
Michaelis Constant ◽  
Renin Substrate ◽  
Method Of Calculation ◽  
Human Renin ◽  
Kinetics Of

Indirect micromethods were designed for the assay of human renin (lower limit 0.25 times 10-4 U and of antirenin to human renin (lower limit 3 times 10-4 U), with the rat used for the bioassay of the angiotensin produced by the action of renin on renin substrate. This made possible the assay of unusually small amounts (0.01 mu1) of serum for antirenin. The Michaelis-Menten concept of a dissociating complex can be applied to the antireninrenin reaction: the rate constants for the formation and for the breakdown of the complex were k1 equal to 1.65 (ml/U antirenin per min) and k3 equal to 1.97 times 10-3 (U inactivated renin/U antirenin per min), respectively; the apparent Michaelis constant was 12 times 10-4 (U renin/ml). A second method of analysis was also applied by assuming the formation of a rather tight complex, with antirenin functioning as an irreversible inactivator of renin. Both methods of analysis yielded practically the same rate constant (k1 equal to 1.65 and k1 equal to 1.71), but the treatment according to the Michaelis-Menten equation affords a slightly better fit of the experimental data (accuracy equal to plus or minus 15.5 percent) than the second method of calculation (accuracy equal to plus or minus 21.6 percent).

scholarly journals Pressure loss characteristics and calculation model of calcium carbide sludge flow in a pipe

2019 ◽  
Vol 11 (12) ◽  
pp. 168781401989213 ◽  
Author(s):  
Lyu Fuyan ◽  
Minjun Zhang ◽  
Fu Shichen ◽  
Lv Yuting ◽  
Li He ◽  
...  
Keyword(s):  
Experimental Data ◽  
Pressure Loss ◽  
Large Diameter ◽  
Calcium Carbide ◽  
Viscosity Coefficient ◽  
Industrial Applications ◽  
Calculation Model ◽  
Calculation Formula ◽  
Theoretical Derivation ◽  
Pipe Length

Calcium carbide sludge is a kind of dense paste; when transported by pipeline, the pressure loss is enormous. However, how to calculate the pressure loss accurately has not been solved until now. This article aims to present a new method to build a pressure loss calculation model based on the experimental data of pipeline transportation. To determine the relationship between the pressure loss and the properties of calcium carbide sludge, a new circulating pipeline testing apparatus was designed. The test studied pressure losses arising from changes in the mass concentration of the paste, flow velocity, pipe diameter, and pipe length. Analyzing the obtained data by means of nonlinear curve fitting, the adsorption coefficient and viscosity coefficient were defined and then the calculation formula was deduced. Finally, the calculation formula was verified for a project pipeline with a relatively large diameter equal to φ200 mm and the same parameters as those of industrial applications. The results show that under the appropriate conditions of applying the model, the relative error is less than 20%, so the model can be applied to engineering pressure loss estimation. This method provides a suitable pipe transportation calculation method for dense paste, combining experimental data and theoretical derivation.

A New Numerical Simulation Model for Shrinkage Defect during Squeeze Casting Solidification Process

2013 ◽  
Vol 641-642 ◽  
pp. 309-314
Author(s):  
Hua Hou ◽  
Hong Hao Ge ◽  
Yu Hong Zhao ◽  
Wei Ming Yang
Keyword(s):  
Experimental Data ◽  
Thermal Conductivity ◽  
Numerical Simulation ◽  
Molten Pool ◽  
Squeeze Casting ◽  
Liquid Surface ◽  
Solidification Process ◽  
Calculation Model ◽  
Shrinkage Defect ◽  
Field Dynamic

In this paper, according to the characteristics of squeeze casting solidification process, the calculation model (FDM format) of the partial differential equations with high thermal conductivity is used to the numerical simulation of temperature field. Dynamic isolated multi-molten pool judgment method is used to determine the position of the pool and FEM is used to calculate the pressure of pool center. If the pressure of molten pool center has been down to 0, the liquid metal closed in the scale will be solidification under the condition of no pressure, and will shrinkage based on the way of gravity shrinkage. The equivalent liquid surface descending method of isolated molten pool is used to predict the formation of shrinkage defect; the simulation result is coinciding with experimental data.

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