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All three models are validated against experimental data.
HOWEVER, THEY REQUIRE HIGH COMPUTATIONAL CAPABILITIES AND DEPEND ON VALIDATED MATERIAL MODELS BASED ON EXPERIMENTAL DATA.
The latter method is the most time-efficient, but it tends to overestimate the peak mid-height displacement by 10.6% compared to experimental results due to its simplified approach: the method applies a uniform triangular load over a flat segment set without accounting for the angle of incidence or the reductions of the applied pressure due to the curvature of the structure.
Magallanes, “Validation Studies for Concrete Constitutive Models with Blast Test Data.”

Isothermal time-temperature-precipitation (TTP) diagrams deliver important material data like temperature and time ranges critical for precipitation.
Hardness and microstructure investigations correspond with the data of the TTP-diagramms.
The most significant hardening potential reduction was found at medium temperatures after short soaking.

Research method diagram This scientific article's title is based on data analysis by Vosviewer, which identifies scientific works that have not undergone extensive research.
The national goal is to reduce carbon emissions from buildings because they are significant in carbon reduction plans.
Comparison between building and environment Development causes a reduction in land, which damages the environmental ecosystem.
Gaffney et al., "Maximizing value of genetic sequence data requires an enabling environment and urgency," Glob Food Sec, vol. 33, 2022, doi: 10.1016/j.gfs.2022.100619
Han, "Trend analysis on adoption of virtual and augmented reality in the architecture, engineering, and construction industry," Data (Basel), 2020, [Online].

(2.4) According to Fig 2.3,make figure of lg[-ln(1-XC)] plotted against lgt (Figure2.4), Obtained from the slope n, obtained from the intercept Zt,then it is available to know non-isothermal crystallization kinetic parameters according to formula 2.4,and obtain half crystallization time t1/2[6], t1/2=(ln2/Zt)1/n, characterize the rate of crystallization during the process of crystallization,as Fig 2.4 shows, all data are presented in Table 2.
a)pure PET b)3.5ppm c)5ppm Fig. 2.4 DSC curves of samples at different cooling rate by lg[-ln(1-Xc)] to lgt Tab. 2-1 DSC datas of samples at different cooling rate sample R(˚C/min) 5 10 20 30 40 Pure PET Zt -31.786 -22.2724 -14.624 -11.275 -8.343 Zc 0.474 0.881 0.939 0.958 0.982 n 25.966 23.720 21.592 21.375 19.570 t1/2(min) 16.526 8.240 4.522 3.210 2.540 3.5ppm Zt -32.465 -17.182 -11.558 -8.286 -6.596 Zc - 1.37E-09 1.87E-13 8.42E-16 2.61E-18 n 26.213 17.905 16.261 14.481 13.737 t1/2(min) 17.035 8.675 4.910 3.545 2.830 5ppm Zt -32.465 -17.182 -11.558 -8.286 -6.596 Zc - 0.467 0.814 0.897 0.946 n 26.213 17.90534 16.261 14.481 13.737 t1/2(min) 17.125 9.383 5.238 3.745 3.007 Both pure PET and endothermic agent nano composites, the relationship of lg[-ln(1-XC)]and lgt is not entirely linear, the occurrence of a linear deviation comes out during the crystal growth process.
Based on the data of Table 2-1 ,conclusion comes out, subjecting to pure PET and nano composite materials with endothermic agent, kinetic rate constant Zc grows up with the increase of cooling rate, while contrastly, the half crystallization time t1/2 reduces, it shows that the higher undercooling rate lead to the faster growth of the crystallization; Under the same cooling rate, Nanocomposite materials with endothermic agent has less Zc than that of pure PET and larger t1/2, the addition of the third component destructed the regularity of the chains, the reduced crystallization ability of molecular chains, making the polymer crystallization rate decreased, crystallization time prolonged.
Fig.2.5 lgR and lgt to samples Tab.2-2 F(T) and a to samples by the crystallinity of 0.9,0.7,0.5,0.3,0.1 Sample Xc 0.9 0.7 0.5 0.3 0.1 pure-PET F(T) 123.856 115.813 109.627 105.866 98.7165 a 1.132 1.1247 1.113 1.119 1.110 3.5ppm F(T) 182.355 160.786 145.737 128.434 112.675 a 1.2196 1.201 1.191 1.176 1.1481 5ppm F(T) 182.355 160.786 145.737 128.434 112.675 a 1.219 1.201 1.191 1.176 1.148 To achieve the same relative degree of crystallinity, F(T) is larger, the cooling rate is larger, the crystallization rate of system is lower, Because F (T) is the unit time to achieve a relative crystallinity value of the cooling rate .The result is consistent with Jeziorny, with the reduction of crystallinity of samples F (T) values are in turn reduced from table 2-2.

The ten measurement error datum are shown in the Table 1.
Table 1 measurement error datum (mm) Measured NO. 1 2 3 4 5 6 7 8 9 10 Fisrt method Max 0.31 0.322 0.314 0.312 0.315 0.321 0.309 0.311 0.320 0.314 Mean 0.062 0.061 0.061 0.062 0.061 0.062 0.060 0.059 0.059 0.058 St.d 0.049 0.049 0.048 0.049 0.048 0.049 0.047 0.048 0.048 0.047 Second method Max 0.178 0.180 0.179 0.191 0.187 0.181 0.179 0.178 0.179 0.186 Mean 0.040 0.041 0.040 0.049 0.040 0.049 0.048 0.049 0.040 0.049 St.d 0.021 0.024 0.022 0.021 0.024 0.021 0.020 0.023 0.023 0.023 Table 1.
The ten measurement error datum using the two methods.
Sensors, Sensor Systems, and Sensor Data Processing(1997)June 16-20; Munich, Germany
Zhang, Phase unwrapping error reduction framework for a multiple-wavelength phase-shifting algorithm.

Various technologies have been used to remove trace lead, namely chemical precipitation, adsorption, ion exchange, reverse osmosis, and oxidation-reduction [6-8].
The data obtained indicates that the polymeric material modified with iron (C100-Fe) exhibits the highest lead removal capacity and can be applied for the efficient removal of lead from drinking water below drinking standard (0.05 mg/L) around 15,000 BVs.
The data obtained indicate that C-100 Fe exhibits the highest lead removal efficiency and lasts for 15000 BVs when compared with the others.
Available from: http://kmcenter.rid.go.th/kmc10/data/water_annual52.pdf

Based on the data of the band structure, DOS (Density of State) and PDOS( Partial Density of States), atomic populations and net charge, the influence on the energy band structure of the macrostructure of ZnO and La-doped ZnO was investigated.
It was assigned to the reduction of energy transfer which was caused by the gathering of rare earth ions in the boundary of grain and also the weak interaction of charge carriers and doping ions due to the lower solubility of rare earth ions in the ZnO materials [8].

The study not only provides useful data concerning the structural safety of the Guangzhou New TV Tower during construction but also is of considerable referential importance in estimating the safety of an in-construction supertall structure.
The procedure of model reduction and tuning, the element mass and stiffness matrices and the global mass and stiffness matrices of the reduced model can be downloaded at http://www.cse.polyu.edu.hk/benchmark/Phase 1 date/system matrices.mat.

The major problem for forging of magnesium alloy is the lack of basic process data, such as strength and ductility.
Extruded materials Mg96Zn2Y2 (Mg-2%Zn-2%Y) Reduction R10 Size (mm) Φ8×12 Temperature (°C) 25, 100, 150, 200, 250, 300, 350, 400, 450 Speed (mm/min) 5,10,50,100 Lubricant No Experimental results Figure 1 shows the flow stress curves of Mg96Zn2Y2 alloy (R10) with a processing speed of 5mm/min under various temperatures (from 20°C -450°C).

Results of the present computations are compared with the available experimental data.
The data used in this study are from the experimental research carried out and given in the reports [17,18].
These values of drag coefficient (CD) were compared with the data given in the report [33].
The validity of these empirical relations beyond this range must be investigated with more data.
The computed results showed reasonable agreement with experimental data.