• Geomechanics and Engineering
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• v.25 no.1
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• pp.17-30
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• 2021

This paper develops a convenient approach for deterministic and probabilistic evaluations of tunnel face stability using support vector machine classifiers. The proposed method is comprised of two major steps, i.e., construction of the training dataset and determination of instance-based classifiers. In step one, the orthogonal design is utilized to produce representative samples after the ranges and levels of the factors that influence tunnel face stability are specified. The training dataset is then labeled by two-dimensional strength reduction analyses embedded within OptumG2. For any unknown instance, the second step applies the training dataset for classification, which is achieved by an ad hoc Python program. The classification of unknown samples starts with selection of instance-based training samples using the k-nearest neighbors algorithm, followed by the construction of an instance-based SVM-KNN classifier. It eventually provides labels of the unknown instances, avoiding calculate its corresponding performance function. Probabilistic evaluations are performed by Monte Carlo simulation based on the SVM-KNN classifier. The ratio of the number of unstable samples to the total number of simulated samples is computed and is taken as the failure probability, which is validated and compared with the response surface method.

• Structural Engineering and Mechanics
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• v.69 no.4
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• pp.417-426
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• 2019

Buckling is one of the major causes of failure in thin-walled plate members and the presence of cracks with different lengths and locations in such structures may adversely affect this phenomenon. This study focuses on the buckling stability assessment of centrally and non-centrally cracked plates with small-, intermediate-, and large-size cracks, and different aspect ratios as well as support conditions, subjected to uniaxial compression. To this end, numerical models of the cracked plates were created through singular finite element method using a computational code developed in MATLAB. Eigen-buckling analyses were also performed to study the stability behavior of the plates. The numerical results and findings of this research demonstrate the effectiveness of the crack length and location on the buckling capacity of thin plates; however, the degree of efficacy of these parameters in plates with various aspect ratios and support conditions is found to be significantly different. Overall, careful consideration of the aspect ratio, support conditions, and crack parameters in buckling analysis of plates is crucial for efficient stability design and successful application of such thin-walled members.

• Journal of Distribution Science
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• v.20 no.9
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• pp.23-28
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• 2022

Purpose: Research on banking sustainability plays an important role in helping banks understand the level of risk in different types of companies. Therefore, this study was conducted to determine the factors affecting the sustainability of Joint Stock Commercia l Banks in Vietnam. Research design, data and methodology: The following theories, the factors affecting the bank's sustainability include: Business model diversification (income diversification), bank size, loan ratio, and net interest margin. Data was collected from Joint Stock Commercial banks in Vietnam from 2015 to 2019. With GLS model on panel data with banks listed on Vietnam stock exchange. Results: The analysis results show that net interest income has a positive impact on the sustainable business results of banks through the rate of return on total assets (ROA). The non-interest income hasn't impact on bank stability. From this result, there aren't positive signs of income diversification in banks. At the same time, with the obtained results, the study also provides a policy implication for banks. Conclusions: The study also provides some policy implications to improve the bank stability. Diversifying income in banks is necessary, but how to make it influential banks has not yet been done. Therefore, the adjustments in non-interest business activities need to be carefully considered by banks.

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.275-282
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• 2020

Recently, the occurrence of a ship capsizing was analyzed as the main cause of the lack of stability or loss because of the improper management of the center of gravity, the movement of cargo or heavy weight when excessive steering occurs or when navigating during bad weather. Thus, to prevent a ship from capsizing, it is necessary to secure stability to enable the ship's return to its upright position, even if a dangerous heel occurs. The GM is a crucial evaluation factor regarding stability, which the navigation officer uses to preserve stability. In this study, based on the stability data collected from the operating of ships for five years, The GM by ship's type according to the operating status was analyzed specifically such as a ship's length, breadth, and gross tonnage. The feature of the GM distribution according to a ship's length was confirmed, and after performing the correlation analysis between the breadth and the GM, the ratio of the GM to breadth was calculated, and the result was compared with the previous ratio. Additionally, a simple approximation formula and minimum GM for the estimation of the GM by ship type were proposed by the regression analysis of the GM using the gross tonnage (GT)/breadth (B) to reflect the trend of larger ships being built. The results of this study are expected to be used as data for the review of securing a stable GM on ships.

• Applied Chemistry for Engineering
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• v.24 no.6
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• pp.656-662
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• 2013

The iron oxide ($Fe_3O_4$) particles in the coolant of the secondary system of a nuclear power plant reduce the heat transfer performance or induce corrosion on the surface of the heat transfer tube. To prevent these problems, we conducted a study to improve the dispersion stability of iron oxide using polymeric dispersant injection in simulated secondary system water. The three kinds of anionic polymers containing carboxyl groups were selected. The dispersion characteristics of the iron oxide particles with the polymeric dispersants were evaluated by performing a settling test and measuring the transmission, the zeta potential, and the hydrodynamic particle size of the colloid solutions. Polymeric dispersants had a significant impact on the iron oxide dispersion stability in an aqueous solution. While the dispersant injection tended to improve the dispersion stability, the dispersion stability of iron oxide did not increase linearly with an increase in the dispersant concentration. This non-linearity is due to the agglomerations between the iron oxide particles above a critical dispersant concentration. The effect of the dispersant on the dispersion stability improvement was significant when the dispersant concentration ratio (ppm, dispersant/magnetite) was in the range of 0.1 to 0.01. This suggests that the optimization of dispersant concentration is required to maximize the iron oxide removal effect with the dispersant injection considering the applied environments, the iron oxide concentration and the concentration ratio of dispersant to iron oxide.

• Composites Research
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• v.28 no.6
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• pp.395-401
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• 2015

This study investigated the thermal stability of Grubbs' catalyst and its reactivity with self-healing agents for self-healing damage repair. Four types of Grubbs' catalyst supplied by manufacturers were considered and each catalyst was tested in as-received and grinded conditions. Four types of self-healing agents were prepared by varying the mixing ratio of dicyclopentadiene (DCPD) and 5-ethylidene-2-norbonene (ENB). Heat flows as a function of temperature were measured through a differential scanning calorimetry (DSC) to determine the thermal stability of catalysts. Reaction heats of self-healing agents with the catalyst were measured to evaluate the reactivity of the catalyst. For this evaluation, Fluka Chemika Grubbs' catalyst was used based on the maximum temperature and the time to reach the maximum temperature. According to the results, catalysts had different shapes depending on the manufacturer and the results showed that the smaller the size of the catalyst the higher the reactivity with self-healing agents. As the ENB ratio in self-healing agents increased, the maximum temperature increased, and the time to reach the maximum temperature decreased. As the amount of the catalyst increased, the maximum temperature increased, and the time to reach the maximum temperature decreased. Considering the thermal stability of the catalyst and its reactivity with the self-healing agent, combination of 0.5 wt% catalyst and the D3E1 self-healing agent was optimal for self-healing damage repair. Finally, as the thermal decomposition may occur depending on the environmental temperature, the catalyst must not be exposed to temperature higher than that is necessary to maintain the thermal stability of the catalyst.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.190-190
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• 2018

• Journal of Electrical Engineering and Technology
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• v.1 no.4
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• pp.455-460
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• 2006

This paper presents the convergency property of the Auxiliary Problem Principle when it is applied to large-scale Optimal Power Flow problems with Distributed or Parallel computation features. The key features and factors affecting the convergence ratio and solution stability of APP are also analyzed.

• Archives of Pharmacal Research
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• v.23 no.6
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• pp.548-553
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• 2000

Two drug-enzyme conjugates of dexamethasone-subtilisin and dexamethasone-cellulase have been synthesized and characterized to study their drug-protein incorporation ratio, immunoreactivity, enzyme activity and stability and these studies proved that a variety of drug enzyme conjugates could also be synthesized and characterized.

• Korean journal of food and cookery science
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• v.11 no.2
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• pp.113-118
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• 1995

A preferable mixing ratio of a six-vegetable juice was suggested in this study. The vegetables used for preparation of mixed vegetable juice were carrot(Ct), cabbage(Cg), pear(Pr), cucumber(Cr), celery (Cy) and dongchimi(Di). The characteristics of pH, titratible acidity, reducing sugar, turbidity, solids, color and acceptability were compared to determine the mixing ratio. The vegetables showed a wide ranHe of pH of 3.70-6.01, acidity of 28.92 uv~74.40 nd and reducing sugar of 1.20ft~ 12.69fo. Celery juice showed the higest suspension stability and "b" value and the lowest values in Hunter "L" and "a" values among the 6 vegetable juice. The preferable mixing ratio of two-vegetable juice selected were Ct-Di(1 : 4), Cg-Pr(1 : 3) and Cr-Cy(3 : 1). From the various ratio of the three of biary mixtures of Cg-Pr(1 : 3): Ct-Di(1 : 4): Cr-Sy(3 : 1), two ratio of 5.0 : 2.5 2.5(V-6A) and 6.0 : 2.0 : 2.0(V-6B) were suggested as the most prefered six-vegetable juice. Pear, dongchimi and cucumber were found to be influential on the preference. The pH and titratible acidity of the two juices with different ratios were in the range of 4.92~4.98 and 36.g∼37.4 ml, respectively.