• Interaction and multiscale mechanics
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• 제4권1호
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• pp.35-47
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• 2011

A global-local finite element modeling technique is employed in this paper to predict the fatigue life of radial truck tires. This paper assumes that a flaw exists inside the tire, in the local model. The local model uses an FEM fracture analysis in conjunction with a global-local technique in ABAQUS. A 3D finite element local model calculates the energy release rate at the belt edge. Using the analysis of the local model, a study of the energy release rate is performed in the crack region and used to determine the crack growth rate analysis. The result considers how different driving conditions contribute to the detrimental effects of belt separation in truck tire failure. The calculation of the total mileage on four sizes of radial truck tires has performed on the belt edge separation. The effect of the change of belt width design on the fatigue lifetime of tire belt separation is discussed.

• 대한토목학회논문집
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• 제10권1호
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• pp.71-80
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• 1990

본(本) 논문(論文)에서는 동적하중(動的荷重)을 받는 콘크리트의 파괴특성을 규명하고, 동적하중하(動的荷重下)에서의 변화특성을 연구하였다. 이를 위하여 포괄적인 실험연구가 수행되었으며 부재크기의 영향을 분석하기 위하여 몇가지 시리즈로 분류하여 실험하였다. 본 실험으로부터 최대파괴하중(最大破壞荷重), 정적(靜的) 및 동적(動的) 파괴(破壞)에너지 그리고 공칭파괴응력이 계산되었다. 본(本) 연구결과(硏究結果) 변형속도(變形速度)가 증가함에 따라 콘크리트의 파괴에너지가 증가하는 것으로 나타났다. 또한, 부재의 크기가 커짐에 따라 파괴에너지 값이 상당히 변화되는 것으로 타나났다. 본(本) 연구(硏究)에서는 부재 크기에 따른 콘크리트의 정적(靜的) 및 동적(動的) 파괴에너지를 예측할 수 있는 예측공식을 도출하여 제시하였다. 본(本) 연구(硏究)는 콘크리트의 동적파괴거동해석에 유용한 기초자료가 될 것으로 사료된다.

• 설비공학논문집
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• 제20권7호
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• pp.478-485
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• 2008

The extreme steam temperature deviation experienced in the superheater of a tangentially fired boiler can seriously affect its economic and safe operation. This temperature deviation is one of the main causes of boiler tube failures. The steam temperature deviation is mainly due to the thermal load deviation in the lateral direction of the superheater. The thermal load deviation consists of several causes. One of the causes is the non-uniform heat flow distribution of burnt gas on the superheater tube system. This distribution is very difficult to measure in situ using direct experimental techniques. So, we need thermal load model to estimate the tube temperature. In this paper, we propose a thermal load distribution model by using CFD analysis and plant data. We successfully predict the tube temperature and the steam flow rate in a final superheater system from the thermal load model and one dimensional heat-flow system analysis. The proposed model and analysis method would be valuable in preventing the frequent tube failure of the final superheater tubes.

• Steel and Composite Structures
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• 제50권4호
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• pp.419-428
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• 2024

Prefabricated partially-encased composite (PEC) structural component is widely used in construction industry due to its superior structural performance and easy assembly characteristic. However, the solid web in traditional PEC components tends to split concrete into two halves, thus potentially reduces structural integrity and requires double concrete pouring. To overcome the above disadvantages, a new PEC beam with open-web π-shaped steel is proposed in this paper. Four open-web PEC beams with varying sectional height, flange thickness and web void rate were constructed and tested under flexural loads. During experimental tests, all beams exhibited typical flexural failure modes with strong moment capacities and excellent ductility. Owing to the unique construction form of web opening, steel-concrete bonding properties were enhanced and very small relative steel-concrete slips were observed. Experimental results also showed that the flexural capacity of such PEC beams increased with the increase of the sectional height and flange thickness, while was not affected by the web void rate. At last, a flexural capacity formula of the open-web PEC beam was proposed based on the whole section plastic rule. The formula results agreed well with experimental results.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.213-216
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• 2015

Despite the significant increase of Korean contractors in the international construction market, many SMCCs (Small & Medium Construction Companies) have suffered in the global financial crisis, and some of them have been kicked out of the international market after experiencing huge losses on projects. SMCCs face obstacles in the international market, such as an insufficient ability to gather information and inappropriate management of associated risks, which lead to difficulties in establishing effective business strategies. In other words, making immature decisions without an effective business strategy may cause not only the failure of one project but also the bankruptcy of the SMCC. To overcome this, the research presented herein aims to propose a decision support system for SMCCs, which would screen projects and make a go/no-go decision at the early stages of international projects. The proposed system comprises a double axis: (1) a profit prediction model, which evaluates 10 project properties using an objective methodology based on a historical project performance database and roughly suggests expected profit rate, and (2) a feasibility assessment model, which evaluates 17 project environment factors in a subjective and quantitative methodology based on experience and supervision. Finally, a web-based system is established to enhance the practical usability, which is expected to be a good reference for inexperienced SMCCs to make proper decisions and establish effective business strategies.

• 기술혁신연구
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• 제26권3호
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• pp.37-68
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• 2018

본 논문에서는 차량용 반도체가 제품 출하 후 사용 환경에 따라 발생되는 불량률을 데이터 마이닝 기법을 이용하여 분석하였다. 20세기 이후 가장 보편적인 이동수단인 자동차는 전자 컨트롤 장치와 자동차용 반도체의 사용량이 급격히 증가하면서 매우 빠른 속도로 진화하고 있다. 자동차용 반도체는 차량용 전자 컨트롤 장치 중 핵심 부품으로 소비자들에게 안정성, 연료 사용의 효율성, 운전의 안정감을 제공하기 위해 사용되고 있다. 자동차용 반도체는 가솔린엔진, 디젤 엔진, 전기 모터를 컨트롤하는 기술, 헤드업 디스플레이, 차선 유지 시스템 등 많은 부분에 적용되고 있다. 이와 같이 반도체는 자동차를 구성하는 거의 모든 전자 컨트롤 장치에 적용되고 있으며 기계적인 장치를 단순히 조합한 이상의 효과를 만들어 내고 있다. 자동차용 반도체는 10년 이상의 자동차 사용 기간을 고려하여 높은 신뢰성, 내구성, 장기공급 등의 특성을 요구하고 있다. 자동차용 반도체의 신뢰성은 자동차의 안전성과 직접적으로 연결되기 때문이다. 반도체업계에서는 JEDEC과 AEC 등의 산업 표준 규격을 이용하여 자동차용 반도체의 신뢰성을 평가하고 있다. 또한 자동차 산업에서 표준으로 제시한 신뢰성 실험 방법과 그 결과를 이용하여 개발 초기 단계 및 제품 양산 초기단계에서 제품의 수명을 예측 하고 있다. 하지만 고객의 다양한 사용 조건 및 사용 시간 등 여러 변수들에 의해 발생되는 불량률을 예측하는 데는 한계가 있다. 이러한 한계점을 극복하기 위하여 학계와 산업계에서 많은 연구가 있어왔다. 그 중 데이터 마이닝 기법을 이용한 연구가 다수의 반도체 분야에서 진행되고 있지만, 아직 자동차용 반도체에 대한 적용 및 연구는 미비한 상태이다. 이러한 관점에서 본 연구는 데이터 마이닝 기법을 이용하여 반도체 조립(Assembly)과 패키지 테스트(Package test) 공정 중 발생 된 데이터들간의 연관성을 규명하고, 고객 불량 데이터를 이용하여 잠재 불량률 예측에 적합한 데이터 마이닝 기법을 검증하였다.

• Clinical and Experimental Reproductive Medicine
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• 제20권2호
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• pp.117-123
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• 1993

The condition of the endometrium is an important factor which may influence the success or failure in IVF-ET. This study was undertaken for evaluation of the value of endometrial growth as an early predictor for the success of IVF. Ultrasonographic endometrial measurement were performed in 43 IVF cycles that conceived, 101 cycles that did not with an IVF-ET There was no significant difference in the endometrial thickness and the serum concentration of estradiol in the pregnant versus nonpregnant group(10.4 vs. 9.9 mm: 2348 vs. 2017 pg/ml no hCG administration day). No correlation was found between the ultrasound image and serum estradiol levels around the time of hCG administration(r=0.54, p=0.13 no Day 2; r=0.45, p=0.14 no Day 1). The duration of gonadotropin treatment, number of follicles, number of oocytes retrieved, and fertilization rate were not statistically different in the two groups, however, there was a significant difference in the number of embryos in the pregnant versus nonpregnant group)p< 0.05). A higher pregnancy rate and ongoing pregnancy rate occured with an endometrial thickness over 11 mm compared with below 7mm(p< 0.05, p< 0.005). however, no significant differences were noted in the implantation rate and abortion rate among the groups that classified according to their endmetrial thickness. The endometrial growth(${\Delta}$) from hCG administration day(DO) to D6 was greater in the women who achieved pregnancy than in the nonpregnant group(p< 0.01). There were no significant differences in serum estradiol levels, implantation rate, pregnancy rate, and abortion rate among the groups that classified according to the pattern of echogenesity of endometrium, however, significantly higher ongoing pregnancy rate was noted in group A, B compared with group C.(p< 0.0001, p< 0.001) These results suggest that there were no ultrasonographically detectable differences in the patterns of endometrial growth and development around the time of hCG administration in patients who conceive versus those that do not in IVF-ET.

• Journal of Power Electronics
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• 제18권5호
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• pp.1608-1617
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• 2018

The rapid and correct isolation of faulty submodules (SMs) is of great importance for improving the reliability of modular multilevel converters (MMCs). Therefore, a fast diagnosis method containing fault detection and fault location determination was presented in this paper. An improved incremental predictive model of arm current was proposed to detect failures, and the multi-step prediction method was used to eliminate the negative impact of disturbances. Moreover, a control method was proposed to strengthen the fault characteristics to rapidly locate faulty arms and faulty SMs by detecting the variation rate of the SM capacitor voltage. The proposed method can rapidly and easily locate faulty SMs under different load conditions without the need for additional sensors. The experimental results have validated the effectiveness of the proposed method by using a single-phase MMC with four SMs per arm.

• 로봇학회논문지
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• 제15권4호
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• pp.398-403
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• 2020

Robot's throwing control is difficult to accurately calculate because of air resistance and rotational inertia, etc. This complexity can be solved by using machine learning. Reinforcement learning using reward function puts limit on adapting to new environment for robots. Therefore, this paper applied deep reinforcement learning using neural network without reward function. Throwing is evaluated as a success or failure. AI network learns by taking the target position and control policy as input and yielding the evaluation as output. Then, the task is carried out by predicting the success probability according to the target location and control policy and searching the policy with the highest probability. Repeating this task can result in performance improvements as data accumulates. And this model can even predict tasks that were not previously attempted which means it is an universally applicable learning model for any new environment. According to the data results from 520 experiments, this learning model guarantees 75% success rate.

• Advances in pediatric surgery
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• 제3권2호
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• pp.126-132
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• 1997

Reduction of intussusception using air or oxygen has wide acceptance as an alternative to conventional hydrostatic reduction. This study was undertaken to evaluate the results and complications of air pressure enema in 948 pediatric intussusception. One hundred and twenty nine cases were operated on at the Department of Surgery, Masan Samsung Hospital from 1985 to 1996 because of air reduction failure. The success rate was 86.4 %. Twenty-one patients(2.2 %) showed perforation during air reduction. Risk prone factors of perforation were; age less than 3 months(42.9 % vs 11.1 %), duration of symptoms greater than 48 hours (66.7 % vs 33.3 %), and presence of pathologic leading point(28.6 % vs 3.7 %). Vomitting and spontaneous rectal bleeding revealed higher prediction to the complication. In nineteen cases, bowel infarction, coagulated necrosis and hemorrhage suggested that the cause of perforation was due to the preexisting strangulation. In conclusion, when doing an air pressure enema reduction, care must be taken if the patient is of a young age or the symptoms are of long duration.