Main factors affecting mechanical characteristics of geopolymer revealed by experimental design and associated statistical analysis

2013 ◽  
Vol 43 ◽  
pp. 589-597 ◽  
Author(s):  
Syuan-Jhih Lyu ◽  
Tai-Tien Wang ◽  
Ta-Wui Cheng ◽  
Tzuu-Hsing Ueng
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Mechanical Characteristics ◽  
Factors Affecting ◽  
Main Factors

scholarly journals Determination of Nitrites in Commercial Sausages by Anthocyanins Degradation. Experimental Design and Optimization

2017 ◽  
Vol 58 (2) ◽  
Author(s):  
Carlos Andrés Galán-Vidal ◽  
Araceli Castañeda-Ovando ◽  
Ma. Elena Páez-Hernández ◽  
Elizabeth Contreras-López
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Spectrophotometric Method ◽  
Colorimetric Method ◽  
Linear Calibration ◽  
Design And Optimization ◽  
Control Factors ◽  
Main Factors ◽  
Experimental Design And Optimization

<p>With the purpose of obtaining the main factors in the nitrite quantification by bleaching Roselle anthocyanins, an experimental design (2<sup>3</sup>) was carried out. The control factors were ultrasound, time and temperature at two levels (−, +). Results for sausages analysis were obtained by the colorimetric method of AOAC 973.31, and the proposed spectrophotometric method. Statistical analysis show that results do not differ significantly. A better linear calibration range is obtained using this new method. The main advantage is the reagents that are used are cheaper.</p>

Analysis Standard of Higher Education Tuition by Multiple Regressions

2014 ◽  
Vol 926-930 ◽  
pp. 4717-4720
Author(s):  
Hai Yan Xuan ◽  
Yong Xia Shi ◽  
Jin Shu Chen
Keyword(s):  
Higher Education ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Education Funding ◽  
Calculation Formula ◽  
Multivariate Statistical ◽  
Factors Affecting ◽  
Multiple Regressions ◽  
Main Factors

In this paper, for the problem of higher education tuition standard, by analyzing the factors of education funding, we collect and organize the relevant data about the charges of ordinary higher schools and adult higher schools, and get the main factors affecting higher schools tuition; Then, on this basis, we do multivariate statistical analysis for the data and get the calculation formula about the charges tuition standard of higher schools, calculating the standard fee of the two types of schools.

scholarly journals Mechanical Characteristics of Steel Shear Keyed Joints in the Construction and Finished States

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yu Zou ◽  
Dong Xu
Keyword(s):  
Shear Strength ◽  
Bearing Capacity ◽  
Mechanical Characteristics ◽  
Displacement Curve ◽  
Relative Deformation ◽  
Direct Shear ◽  
Confining Stress ◽  
Factors Affecting ◽  
Shear Key ◽  
Main Factors

Joints that represent locations of discontinuity were the prominent factors affecting the overall behavior of precast segmental bridges. In this study, the steel shear key was designed, which was used to transmit the shear stress of the joints. To study the mechanical characteristics of the steel shear keyed joints in the construction and finished states, direct shear experiments and numerical analysis were carried out. The experimental results showed that the steel shear keyed joints had a high bearing capacity and good ductility. Under the action of confining stress, the joints relied on the mechanical occlusion between the steel keys to transmit the shear forces. When the load-displacement curve entered the horizontal stage, it can still bore large relative deformation, and the bearing capacity did not decrease. In the construction state, the inelastic deformation of the steel shear key should be used to control the design value of the temporary load. In the finished state, the bearing capacity of joints should be controlled by the direct shear strength of the steel shear key, which can be calculated according to the shear formula. The shear strength of the material and size of the steel shear key are the main factors affecting the bearing capacity of steel shear keyed joints.

scholarly journals Main Factors Affecting Mechanical Characteristics of Silicon Carbide Sludge-Based Geopolymer Revealed by Experimental Design and Associated Statistical Analysis

2021 ◽  
Author(s):  
Lin Kae-Long ◽  
Kang-Wei Lo ◽  
Ya-Wen Lin ◽  
Ta-Wui Cheng
Keyword(s):  
Silicon Carbide ◽  
Statistical Analysis ◽  
Mechanical Characteristics ◽  
Multivariate Adaptive Regression Splines ◽  
Regression Splines ◽  
Regression Curve ◽  
Factors Affecting ◽  
Adaptive Regression ◽  
The Subject ◽  
Adaptive Regression Splines

Abstract In recent years, many researches have been analyzed on the subject of geopolymer materials. As far as we know, the design of experiments (DOE) methods had not been used for the analysis of geopolymer containing silicon carbide sludge (SCS) waste and metakaolin components. This study was used to quantify the effects the interaction between the constituent factors and macroscopic / microstructure properties of SCS-based geopolymers (SCSGPs), by the DOE methods. Compares the correlation between the factor parameters and physical properties, which were analyzed the microstructure analysis of SCSGPs. The results of statistical analysis showed that the influencing factors of compressive strength of SCSGPs were mainly Na / Si mole ratio (NSR), Na / Al mole ratio (NAR), followed by dissolution rate of Al (DRA). In the regression curve analysis results, when the SCS replacement levels of 20%, the coefficient of b was the most influential, because the synergistic effect between metakaolin (MK) and SCS. In this study, the multivariate adaptive regression splines model provided a valid reference for the application of and future improvements in SCSGPs.

Recent Rapid Climate Changes in Antarctic and their Influence on Low Diversity Ecosystems

2010 ◽  
Vol 17 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Katarzyna J. Chwedorzewska
Keyword(s):  
Environmental Variables ◽  
Climate Changes ◽  
Biological Significance ◽  
Global Changes ◽  
Factors Affecting ◽  
Low Diversity ◽  
Main Factors ◽  
The Antarctic ◽  
High Diversity ◽  
Temperature Water

ABSTRACTThe geographic position, astronomic factors (e.g. the Earth’s maximum distance from the Sun during winter), ice cover and altitude are the main factors affecting the climate of the Antarctic, which is the coldest place on Earth. Parts of Antarctica are facing the most rapid rates of anthropogenic climate change currently seen on the planet. Climate changes are occurring throughout Antarctica, affecting three major groups of environmental variables of considerable biological significance: temperature, water, UV-B radiation.Low diversity ecosystems are expected to be more vulnerable to global changes than high diversity ecosystems

Optimization of PES Nanocomposite Membrane Preparation Using Statistical Analysis and Experimental Design

2019 ◽  
Author(s):  
Yasin Orooji ◽  
Fatemeh Noorisafa ◽  
Nahid Imami ◽  
Amir R. Chaharmahali
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Nanocomposite Membrane ◽  
Membrane Preparation ◽  
Membrane Fabrication

<p>Using experimental design and statistical analysis (½ Fractional Factorial Design), this study investigates the effect of different parameters in the membrane fabrication on the performance of nanocomposite PES/TiO<sub>2</sub> membrane. </p>

Pitting Corrosion of Biomedical Titanium and Titanium Alloys: A Brief Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Yu-Wei Cui ◽  
Liang-Yu Chen ◽  
Xin-Xin Liu
Keyword(s):  
Corrosion Resistance ◽  
Pitting Corrosion ◽  
Potential Temperature ◽  
Growth Stages ◽  
Factors Affecting ◽  
Ti Alloys ◽  
Pitting Corrosion Resistance ◽  
Superior Mechanical Properties ◽  
Good Biocompatibility ◽  
Main Factors

Abstract:: Thanks to their excellent corrosion resistance, superior mechanical properties and good biocompatibility, titanium (Ti) and Ti alloys are extensively applied in biomedical fields. Pitting corrosion is a critical consideration for the reliability of Ti and Ti alloys used in the human body. Therefore, this article focuses on the pitting corrosion of Ti and Ti alloys, which introduces the growth stages of pitting corrosion and its main influencing factors. Three stages, i.e. (1) breakdown of passive film, (1) metastable pitting, and (3) propagation of pitting, are roughly divided to introduce the pitting corrosion. As reviewed, corrosive environment, applied potential, temperature and alloy compositions are the main factors affecting the pitting corrosion of Ti and Ti alloys. Moreover, the pitting corrosion of different types Ti alloys are also reviewed to correlate the types of Ti alloys and the main factors of pitting corrosion. Roughly speaking, β-type Ti alloys have the best pitting corrosion resistance among the three types of Ti alloys.

scholarly journals Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402198925
Author(s):  
Isidoro Guzmán-Raja ◽  
Manuela Guzmán-Raja
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Sport Performance ◽  
Data Envelopment ◽  
Professional Football ◽  
Efficiency Measure ◽  
Factors Affecting ◽  
Football Clubs ◽  
Main Factors ◽  
Using Data

Professional football clubs have a special characteristic not shared by other types of companies: their sport performance (on the field) is important, in addition to their financial performance (off the field). The aim of this paper is to calculate an efficiency measure using a model that combines performance (sport and economic) based on data envelopment analysis (DEA). The main factors affecting teams’ efficiency levels are investigated using cluster analysis. For a sample of Spanish football clubs, the findings indicate that clubs achieved a relatively high efficiency level for the period studied, and that the oldest teams with the most assets had the highest efficiency scores. These results could help club managers to improve the performance of their teams.

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