Search results

The analysis uses some of the input data previously considered in the study, like ”virgin materials” production categories and rates or energy consumption associated to the process.
The data obtained during the researches performed in Spain and Austria brought into light a certain difference between the theoretical and practical approach of RAP integration into asphalt mixtures.
Table 5: Recycling process in asphalt mixtures sector Country Available reclaimed asphalt % of RAP used in HMA + WMA Half Warm Recycling Cold Recycling Austria 55000 90 - 5 Romania 13000 60 15 25 Spain 1350000 73 - 27 European leader – Germany 14000000 84 - 16 World leader - USA 71400000 84 6 10 Once again the world leader is USA, which considers RAP the solution for material scarcity and costs reduction issues.
This might mean savings in fuel consumption and environmental benefits due to elimination of tailpipe emissions and reduction of “virgin” materials exploitation.
Based on the analysis results, it can be concluded that the process of asphalt recycling has technical, economic and environmental benefits which refer to: · asphalt mixtures with RAP produce the equivalent or improved performance compared with conventional asphalt mixes; · savings can result from transporting, stockpiling, processing, handling and inventorying RAP; · it can be obtained important reductions of environmental impacts associated with mining, decreases the depletion of aggregate reserves; · energy savings result from the processing of less “virgin” materials, on-site recycling capabilities and reduced transportation of new materials to the site etc.

The paper presents data on the sulfur content in the metal, various options for metal desulfurization are considered.
An increase of more than 10 times in the sulfur content, according to the data of works [1, 2], is caused by the use of scrap products of wagon melting as a charge and the production of cast iron in a coke wagon.
The almost complete absence of cast iron, a reduction, due to the widespread introduction of CCM, the use of steel mills, an increase in the charge when smelting naturally alloyed cast iron, for example, titanium and vanadium.
Comparing the chemical composition data with the microstructure parameters (Fig. 7 - 9), we can state the following: The increase in the stability of pallets with an increase in the silicon content from 0.97% to 1.15% is explained by the exclusion of the cementite component in the structure of cast iron, an increase in the size of graphite inclusions from 25-40 to 90-180 microns, the presence of a predominantly pearlite (70-92%) component in the structure of cast iron.

Based on an engineering example of intrusion-clearance of diaphragm wall, the mechanism and effect factors of intrusion-clearance are discussed by monitoring data and numerical analysis.
The horizontal displacement during dewatering is not been monitored in this project, so the data of inclinometer can not reflect the horizontal displacement of diaphragm wall entirely.
Reduction of the modulus of elasticity, internal friction angle and the cohesive strength are used to simulate the different quality of improved soil. 1m no reinforced means that the area within 1m of the diaphragm wall is not reinforced.
Ultrasonic testing data reveals that there is about 8cm deviation or inclination during excavation of the trench, and the horizontal displacement during concreting and foundation dewatering are about 1.5cm and 2.5cm, as well as 7.5cm during foundation pit excavation.
Actually, an allowed horizontal displacement of about 10cm was considered before the installation of diaphragm wall by moving the designed wall position outward, so the calculated intrusion-clearance is about 10cm, which is closer to measured data.

The plastic is also thermally tested using TGA-DTA, morphologically tested using SEM and its functional divisions are analyzed using FTIR to obtain further data about its properties Introduction The management of plastic waste has become a problem because plastic is a non-biodegradable material, so managing plastic waste through landfill or open dumping is not suitable [1].
Based on this data, it's evident that the percentage of elongation at break is inversely proportional to the tensile strength, as noted by Pongmassangka et al. in 2020.
The bioplastic's SEM data at a 50% sorbitol content and 50°C drying temperature were examined at a 500x magnification.
(a) Analysis of test data for tensile strength.
Thermal property characterization of bioplastic showed that at low drying temperatures and low concentrations of sorbitol plasticizer, there would be a smaller mass reduction loss and greater heat stability.

An influence of composition of biologically degradable waste on humification process in composts can be evaluated from data on amount and ratios of humic acids and fulvoacids.
During the composting process, biomacromolecules (e.g. lignin, cellulose, hemicellulose, starch, proteins, lipids) are transformed and decomposed into simple molecules (polyphenols, reduction sugars, aminoacids, fat acids) by means of microorganisms.
The second part of the table contains data on amounts of HAs and FAs from compost produced from BMW.
The data for humic acids from Frycovice show that BMW collected in different months have different composition (Fig.2).

The results show that the sensor nodes adjusting the listen-time self-adaptively in proper way achieves the reduction of end-to-end delay and enhance throughout.
These sensor nodes send the sensing data to the sink node, and then to the processing centre in order to monitor a certain area.
Wireless Mesh Sensors Networks (WMSNs)[1] consist of mesh routers which construct the backbone network and the wireless sensor nodes which are the clients responsible for collecting the data.
Fig.3 Compared with listen time Fig.4 Simulation topology structure Secondly, sets data of the amount of neighbor nodes and the delay of all nodes are learned from the first step.

These two kinds of method lop too much side on subjective experiences or on objective data, and fail to consider the comprehensive effects of both objective and subjective information.
Factor analysis is a multiple statistic analysis method which could be used for data simplification and dimension reduction.
Only subjective evaluation or only objective evaluation mainly emphasizes subjective data or subjective experiences, and fails to comprehensively consider both subjective and objective information.
Step 2, normalize the data obtained in step 1.
After collecting and tidying up these corporations’ financial data in year 2007 and by applying factor analysis, the evaluation indictors screened are all in TABLE Ⅰ.

Zhang et al used HHT to analyze recordings of hypothetical and real wave motion, the results of which had been compared with the results obtained by the Fourier data processing technique [3].
The analysis of the two recordings indicated that the HHT method is able to extract some motion characteristics useful in studies of seismology and engineering, which might not be exposed effectively and efficiently by Fourier data processing technique.
It is controversial that the structural damage was simulated as a sudden stiffness reduction.
A new spectral representation of earthquake data: Hilbert spectral analysis of station TCU129, Chi-Chi, Taiwan, 21 September 1999.
Application of Hilbert-Huang Transform to Structural Health Monitoring: Experimental Data.

It has also been attempted to optimize the surface roughness prediction model using experimental data.
Literature shows the factors that influence the surface roughness in milling are cutting speed, feed rate and axial depth of cut .The first step in RSM is to find a suitable approximation for the response surface and check whether or not this model is adequate in describing the experimental data.
The data collected from the experimental tests were used to develop surface roughness model.
Mitutoyo SJ 301 was used to measure the clear-cut machined surface for obtaining the surface roughness data.
Average Ra data recorded from each cutting condition during experiments are presented in Table 3.

However, the high cycle fatigue data of the alloy can only be found sparsely in the literature.
Uniaxial tensile test was carried out at an initial strain rate of 1×10-4/s using cylindrical specimens with 6mm gauge diameter, 20mm gauge length and 84mm total length on a MTS-810 machine equipped with a computer data acquisition system.
The data before No.1 couple reverse result appears are given up when the fatigue strength is calculated by the up-and-down method.
All adjacent reverse data are coupled.
The accurate fatigue strength is get by calculating the mean value of all adjacent reverse data mean value.