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The stress-strain data for the investigated alloy EN AW-6082 was measured during compression tests in a deformation dilatometer “Bähr DIL805A/D”.
The obtained data without any additional processing has been implemented as tables in the simulation software to predict material flow during hot deformation in accordance with model described in [5].
Independent of their rolling reduction, the hot-rolled samples exhibit significant waviness of the edges.
This effect can be explained by the inhomogeneity of local rolling reductions in different thickness elements: the nominal rolling reduction of 30 % or 50 % takes place only in the area of element 1.
Furthermore, in the case of nominal rolling reduction of 30 %, the reduction of element 2 amounts to 0 % because its initial thickness is less than the rolling gap of «X + 1.2» mm; in the case of a rolling reduction of 50 %, it amounts to approximately 7 %.

The results indicated a reduction in the void content when the percentage of waste glass increased to w/c ratios of 0.55 and 0.58.
The reduction of the void content reduced the concrete’s W/A and increased its specific gravity.
According to data from CEMPRE (a Brazilian business association dedicated to recycling), Brazil produces around 980,000 tons of glass packaging per year, using about 45% of recycled raw material in the form of shards.
The concrete composition prepared with the w/c ratio of 0.50 showed an increase in the void content from 5% to 20% of glass and a reduction in the void content from 0% to 5% of glass.
For w/c ratios of 0.55 and 0.58, the increase in waste glass content in place of fine aggregate led to a reduction in W/A due to the decrease in the void content, as indicated in Figure 2.

The amount of reduction of the detonation threshold depends on the geometry of the void.
For square voids, there exists a minimum size above which reduction of the detonation threshold occurs.
For voids with a small longitudinal dimension, there is no reduction of detonation threshold.
After removing these initiations from the data, the detonation threshold curve for L voids overlaps very well with the other two curves.
This causes a reduction of the detonation threshold of an energetic crystal containing a void.

Fourier transform infrared spectrometer (FTIR) and electron dispersive spectrometer (EDS) data suggested that the hybrid material were composed of Au, AgCl and PPy.
The catalytic reduction and oxidation of H2O2 by Au nanoparticle-AgCl@PPy was investigated.
It can be seen in Fig.5 that the reduction peak currents of Au nanoparticle-AgCl@PPy increased 1.5 µA on addition of 20 µM H2O2 (curve a and b), demonstrating that Au nanoparticle-AgCl@PPy can catalyze the reduction of H2O2 more efficiently than AgCl@PPy.
After adsorbing large amounts of electrons, the Au nanoparticles turn from electron acceptors to electron donors, indicating that Au nanoparticles-AgCl@PPy can catalyze both the oxidation and reduction of H2O2 efficiently. 4.
After the incorporation of Au nanoparticles, AgCl@PPy showed a greatly improved catalytic activity on the reduction and oxidation of H2O2.

The numerical predictions are analyzed in terms of absolute vertical displacement, absolute horizontal displacement, mean stresses, volumetric strain, maximum shear strain and strength reduction factor.
This tunnel and culvert accommodates the majority of the underground public utilities necessary to supply this business center with energy, water and data communication.
The results are discussed in terms of absolute vertical displacement, absolute horizontal displacement, mean stresses, volumetric strain, maximum shear strain and strength reduction factor.
The Strength Reduce Factor (SRF) is the critical strength reduction factor.
The Fig. 24 and Fig.25 present some field data from tests carried out on twice composite ground with SC and DMC.

The work in this paper can provide useful research foundation on the following noise reduction design of landing gear.
Souliez, etc. [2] simulated the flow field around simplified landing gear based on unstructured grids and RANS methods; Hedges, etc. [3] carried out the simulation for the simplified landing gear model using DES method, obtained better results than URANS method; In the research of Lockard, etc. [4] , the landing gear model contains the detail components such as hydraulic system was simulated using URANS method to obtain sound source data, and the far-field sound propagation is calculated combined with FW-H integral method; Spalart, etc. [5] achieved the aerodynamic noise of simplified landing gear model based on URANS method with structural grid.
Therefore, this paper intends to adopt RANS/NLAS method to undercarriage study on aerodynamic noise prediction of landing gear to establish foundation for landing gear noise reduction research.
Firstly, Reynolds averaged Navier-Stokes equation (RANS) is used to obtain the initial flow field which offer NLAS data to generate subgrid source term.
Aircraft noise reduction technologies: A bibliographic review[J].

So it is required that the initial data are as close as possible to the solution.
The reduction factor is usually chosen between 0.9 and 0.99.
It can be observed that, even if the parameter sets are very different from each other, there are good agreements between the numerical results and the experimental data.
Two identifications were performed on the basis of experimental data found in the scientific literature and were compared with other material parameter sets, obtained with a least square optimization technique.
Other experimental data, like the yield stress in equibiaxial tension and in plane strain, or anisotropy coefficients along different orientations, are necessary to definitely do such a choice.

Developed in Google Colab with Python, it ensures flexibility and is linked to Google Sheets for real-time data input without additional software.
The model was tested on production data from the Southern section of the Mezhyrichchia quarry using a CAT 980H wheel loader and a KrAZ-65055 dump truck.
Experimental data indicate that on road sections with a gradient exceeding 8 %, fuel consumption may increase by 1.5 to 2 times.
To carry out simulations based on real production data and compare the efficiency of using a wheel loader versus a dump truck, justifying the feasibility of each option depending on operational scenarios.
Dimensions, volume, and mass of blocks (empirical data collected by the author at the Mezhyrichchia deposit) (developed by the author based on the research by [18] and modeling results) Fig. 3.

Concrete Face Strain and Stress Observation Data Analysis.
Based on the Duncan E-B model and the deformation monitoring data, the construcion process were simulated accurately.
Generally speaking, all these results above are basically consistent with the observed data of strain gauges.
Compared with the observation data, the simulated results are close to the actual operation situation.
J., Analysis of Monitoring Data of Stress and Deformation for Shuibuya Concrete Face Rockfill Dam.

According to the r-factor, SENSE causes the data collecting time to reduce and speed up.[11][12].
The reduction in SNR is caused by two factors, the first is the reduction in sampling time.
SNR Value Difference Test for MRI Phantom T2WI TSE SENSE with R factor 2 Between Before and After Denoising Non Local Means (NLM) Technique SNR p value r2 pre * r2 post < 0,001 where r2 pre indicates r factors 2 before denoising NLM r2 post shows r factor 2 after denoising NLM and * indicates the comparison SNR Data Fig 5.
This study used data from two R factor trials.
Rosseel, “On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data,” vol. 8, no. 11, 2013, doi: 10.1371/journal.pone.0077089