본 연구의 목적은 실패두려움과 인지된 경기력의 관계에서 경쟁상태불안과 자기효능감의 이중 매개효과를 분석하고 각 변인 간의 인과관계를 탐색하는 것이다. 이를 위하여 서울·경기도 소재 중학생 축 구선수 326명을 대상으로 자기보고식 설문을 진행하였다. 수집된 자료는 SPSS 28.0과 Amos 28.0 프로그 램을 이용하여 구조방정식모델분석과 매개효과를 검증하였고 매개변인의 간접효과 유의성을 확인하기 위 해서 부트스트래핑 검증을 실시하였다. 그 결과 첫째, 실패두려움이 경쟁상태불안과 자기효능감에 유의한 영향을 미치는 것으로 나타났다. 둘째, 자기효능감이 인지된 경기력에 유의한 영향을 미치는 것으로 나타 났다. 셋째, 실패두려움과 인지된 경기력의 관계에서 자기효능감의 완전매개효과를 확인하였다. 본 연구를 통해 청소년 축구선수의 실패두려움이 경쟁상태불안과 자기효능감에 영향을 주는 변인임을 확인하였으며, 자기효능감이 인지된 경기력을 위한 중요 매개변수임을 확인하였다. 청소년 선수들이 안정적인 심리상태로 선수생활을 영위하기 위해 실패두려움의 강도를 낮추고 자기효능감을 향상시키는 것은 중요하며, 지도자들 의 독려와 새로운 방향의 전략이 필요할 것이다.

Automotive technology has developed rapidly and is becoming the intensive of cutting edge technology. For this reason, Automotive are used not only as a means of transportation, but also as a private and leisure spaces. The driver wants to keep quiet even if the car is used for a long time. NVH should be reduced because it is caused by mechanical defects and aging. In this study, it was presented that a seven-step procedure for failure diagnosis and repair to reduce noise/vibration. NVH was diagnosed by comparing the result of the rotator order tracking analysis with the problem frequency. It was possible to accurately analyze the cause of noise and vibration, also it coud identify the location, and repair that.

상수도 시스템에서의 사고 발생은 사용자들의 물 이용 불편으로 인해 막대한 사회경제적 피해를 초래할 수 있는 위협 요인이며, 따라서 수도사업자들은 수도정비기본계획 등을 통해 상수도 사고를 빠르게 복구하고, 피해 규모를 최소화하기 위한 다양한 노력을 기울이고 있다. 본 연구는 상수도 시스템에서 발생하는 관로사고 상황에 대하여 회복탄력성을 정량적으로 평가하고, 비상급수 방안을 포함한 사고 대응 전략의 효과를 분석하기 위한 평가 모형을 개발하였다. 개발 모형은 시스템의 회복탄력성에 기여하는 다양한 특성들을 반영할 수 있는 시간단위 공급 부족량과 충족률 지표를 통해 회복탄력성을 평가하며, 국내 지방상수도 시스템의 특정 구역을 대상으로 관로사고 시나리오를 모의하여 개발 모형의 적용 효과를 검증하였다. 결과적으로 개발 모형을 통해 비상연계관로, 배수지 충수, 병물 공급 등 비상대응 방안의 효과를 정량적으로 평가하였으며, 이를 통해 시스템의 회복탄력성 향상을 위한 설계 및 운영 전략 수립의 가능성을 확인하였다.

Carbon fibers (CFs) with different tensile moduli of 280–384 GPa were applied to investigate the relationship between crystalline structure and compressive failure. The carbon chemical structure and crystalline structure were studied by Raman, highresolution transmission electron microscopy (HRTEM) and X-ray diffraction (XRD). The correlation between compressive strength and crystalline structure was investigated. The results showed that the transition point between medium and high tensile modulus was around 310 GPa, and within the range of medium modulus, the compressive strength of CFs improved with the increase of tensile modulus, and the compressive strength also improved with the increase of crystal thickness Lc, crystal width La, and crystal plane orientation; In the high modulus range, the correlation law was opposite, which was mainly influenced by the grain boundary structure. CFs with tensile modulus lower than 310 GPa exhibited bucking and kinking fracture under compressive loading, while shear fracture was observed for CFs with tensile modulus higher than 310 GPa.

3D printing using ceramic powder to produce precision ceramic parts has been studied with various additive manufacturing methods. This study analyzed problems occurring in alumina additive manufacturing that uses digital light processing (DLP) as well as methods to address such problems. For efficient analysis, we have classified alumina additive manufacturing into three types according to the driving method of the build platform - lifting type (LT), tilting type (TT) of the vat, and blade movement type (BT). LT had a problem with detachment and cracking of the alumina green body. However, this could be prevented by carefully controlling the cure depth of the suspension slurry and the bonding force between layers and improving the material used for coating the vat. TT, which resulted in non-uniform alumina additive manufacturing, could be improved by modifying the bidirectionality of the axis and the fluidity of the highly viscous alumina suspension slurry. BT resulted in detachment of the specimen as well as non-uniform results, but this could be avoided by shortening the shifting distance of the alumina suspension when it is introduced to the build platform, and enabling effective spreading.

This study is to deal with the cause analysis and improvement ideas for breakage to hydraulic pipes mounted on self-propelled howitzers. Hydraulic piping is one of the core components of a hydraulic system. This is because in the case of devices that use hydraulic pressure as a power source, hydraulic oil is supplied through hydraulic piping to operate. Compared to the main hydraulic assembly, its importance is low, so there are not many studies or failure analysis cases on it. However, contrary to this, cases of hydraulic pipe failure account for a significant proportion of the total number of failures, requiring in-depth technical review. In this study, we aim to analyze the causes of failures in hydraulic pipes of self-propelled guns operated by the military and propose improvement measures. It is expected that this study will aid as a reference for problem solving when similar failures occur in the future.

In this article, improvement of heat screen failure for battle tank is proposed. The heat screen applied to protect a cam sensor from engine heat was cracked by vibrations generated in the engine. To solve this problem, the configuration of the heat screen was changed to a structure that can avoid engine vibration levels. The improved heat screen has first mode frequency at 4,000 RPM band outside the main operating range of the engine, and heat dissipation is at the same level as conventional heat screen. As a result, the improved heat screen secured reliability by improving vibration effects by approximately 163% while maintaining heat dissipation performance.

This study is to deal with a failure phenomenon that occurred during a vibration test on an Inertial Navigation System mounted on a self-propelled howitzer. Vibration occurs naturally due to the operation characteristics of self-propelled howitzers, The study describes a case of failure that occurred during the durability verification process. It explains the function and configuration of the INS(Inertial Navigation System) and describe how the failure occurred through understanding the phenomenon. Based on the occurrence phenomenon, an in-depth cause analysis was conducted and fundamental improvement measures were presented to prevent recurrence. It is expected that this study will aid as a reference for problem solving when similar failures occur in the future.

Many older reinforced concrete (RC) buildings were constructed and designed with only gravity loads in mind. Columns in those buildings have insufficient reinforcement details that do not satisfy the requirements specified in current seismic design standards. This study aims to develop drift-based fragility functions for lightly RC columns. For this purpose, a database of 193 lightly RC columns was constructed to determine central and dispersion values of drift ratios for individual damage states. Additionally, to develop more accurate fragility functions of the columns, the failure mode of RC columns was incorporated into fragility functions. The classification procedure for column failure mode is proposed in this study. Fragility functions for older RC columns are constructed according to four different damage states. The main variables of the fragility functions proposed in this study are column properties and failure mode.

This study introduces a novel approach for identifying potential failure risks in missile manufacturing by leveraging Quality Inspection Management (QIM) data to address the challenges presented by a dataset comprising 666 variables and data imbalances. The utilization of the SMOTE for data augmentation and Lasso Regression for dimensionality reduction, followed by the application of a Random Forest model, results in a 99.40% accuracy rate in classifying missiles with a high likelihood of failure. Such measures enable the preemptive identification of missiles at a heightened risk of failure, thereby mitigating the risk of field failures and enhancing missile life. The integration of Lasso Regression and Random Forest is employed to pinpoint critical variables and test items that significantly impact failure, with a particular emphasis on variables related to performance and connection resistance. Moreover, the research highlights the potential for broadening the scope of data-driven decision-making within quality control systems, including the refinement of maintenance strategies and the adjustment of control limits for essential test items.

As climate change and population growth raise the likelihood of natural disasters, it becomes crucial to comprehend and mitigate these risks in vital infrastructure systems, especially nuclear power plants (NPPs). This research addresses the necessity for evaluating multiple hazards by concentrating on slope failures triggered by earthquakes near NPPs over a timeframe extending up to a return period of 100,000 years. Utilizing a Geographical Information System (GIS) and Monte Carlo Simulation (MCS), the research conducts a comprehensive fragility assessment to predict failure probability under varying ground-shaking conditions. According to the Newmark displacement method, factors such as Peak Ground Acceleration (PGA), slope angle, soil properties, and saturation ratio play significant roles in determining slope safety outcomes. The investigation aims to enhance understanding seismic event repercussions on NPP-adjacent landscapes, providing insights into long-term dynamics and associated risks. Results indicate an increase in slope vulnerability with longer return periods, with distinct instances of slope failures at specific return periods. This analysis not only highlights immediate seismic impacts but also underscores the escalating risk of slope displacement across the extended return period scales, crucial for evaluating long-term stability and associated hazards near nuclear infrastructure.

Existing reinforced concrete buildings with seismically deficient column details affect the overall behavior depending on the failure type of column. This study aims to develop and validate a machine learning-based prediction model for the column failure modes (shear, flexure-shear, and flexure failure modes). For this purpose, artificial neural network (ANN), K-nearest neighbor (KNN), decision tree (DT), and random forest (RF) models were used, considering previously collected experimental data. Using four machine learning methodologies, we developed a classification learning model that can predict the column failure modes in terms of the input variables using concrete compressive strength, steel yield strength, axial load ratio, height-to-dept aspect ratio, longitudinal reinforcement ratio, and transverse reinforcement ratio. The performance of each machine learning model was compared and verified by calculating accuracy, precision, recall, F1-Score, and ROC. Based on the performance measurements of the classification model, the RF model represents the highest average value of the classification model performance measurements among the considered learning methods, and it can conservatively predict the shear failure mode. Thus, the RF model can rapidly predict the column failure modes with simple column details.

In this paper, as there are many cases of fires occurring due to the failure or inoperability of the thermostat of electronic products, the purpose is to test and analyze the risks and probabilities through fire cases and reproduction experiments, and suggest countermeasures. Among electronic products, water purifiers are composed of a refrigerant system with a compressor to make cold water, a heating device to make hot water, and an electric device used as an energy source. Due to the nature of the water purifier manufacturing, these devices are subject to a lot of moisture and dust. etc. exist in large quantities and use electrical energy, so there is a possibility of fire due to short circuit in the wire, electrical abnormal overheating (tracking phenomenon) in the thermostat, electronic board, starting relay, etc., and overheating of the heating device (Band Heater). there is. Therefore, in order to prevent fires from these devices, a system to remove foreign substances inside the water purifier is necessary, the use of heat-resistant (fire-resistant) wires for electrical devices is essential, and the use of non-combustible materials (semi-combustible materials) for each part is necessary to prevent fire. The risk must be eliminated through prevention and combustion expansion prevention devices.

Purpose: This study was conducted to assess the post-discharge experiences of caregiving mothers of pediatric patients with intestinal failure who were receiving home TPN treatment. Methods: This was a qualitative study utilizing Colaizzi’s phenomenological research method. The eight participants were mothers of pediatric outpatients from the short-gut syndrome clinic at a tertiary hospital in Seoul who were continuing home TPN treatment through a CVC. Data were collected from January to May 2022 through individual in-depth interviews, and analyzed. Results: Analysis of 127 meaningful statements from the mothers identified 12 themes and 36 sub-themes, organized into five categories: “Mixed emotions regarding hospital discharge”, “Problems after discharge”, “Stress in everyday life”, “Support from nurses and family members”, and “Looking to the future”. Conclusion: The study results provided insights into the meaning and value of the post-discharge experiences of mothers of pediatric patients with intestinal failure. These findings will be valuable in the development of interventions to provide education and other support measures for primary caregivers of children with intestinal failure.

PURPOSES : As the number of fixed traffic enforcement equipments increase rapidly, it is necessary to improve efficient operation and management plans. The aim of this study is to evaluate the factors influencing fixed traffic enforcement equipment failure. METHODS : This study utilized binary logistic regression analysis using the database provided by the Korean Road Traffic Authority to evaluate the factors affecting the failure of fixed traffic enforcement equipment. RESULTS : As a result of the evaluation of this study, the main factors affecting failure were red-light camera, old equipment, Jeju, National expressways, and equipment with low speed limits. CONCLUSIONS : This study can be used as basic data on the improvement of operation management plas for maintenance of traffic enforcement equipment. Through this study, it will be possible to establish a step-by-step plan with high efficiency comapared to the input of required manpower.

PURPOSES : The wedge-type anchorage system requires a complex analysis of not only the tensile stress of the CFRP plate, but also the compressive stress and shear stress generated by the wedge action. The purpose of this study is to find a composite material failure theory that is suitable for analyzing the behavior of wedge-type anchorage system among various failure theories. METHODS : In this study, numerical analysis of various composite material failure theories was performed to analyze the anchorage strength and failure mode of the wedge-type anchorage system according to each failure theory, and compared with actual test results to determine the composite material failure theory most suitable for analyzing the behavior of a wedge-type anchorage system. RESULTS : Since the Maximum Stress failure theory shows similar results to the actual test in terms of failure mode and anchorage strength, there is no significant problem in applying it to the wedge-type anchorage system. However, it is judged to be difficult to apply under property conditions where interactions between stresses are highlighted. The Tsai-Hill and Tsai-Wu failure theories are considered unsuitable for application to wedge-type anchorage systems because the wedge angle conditions at which the most advantageous anchorage strength occurs are significantly different from other theories and the fracture type cannot be predicted. The Hashin-Rotem failure theory is considered to be the most appropriate to apply as a failure theory for the wedge-shaped anchorage system because the anchorage strength was slightly lower than the actual test results, but there was no significant difference, and the failure mode was consistent with the test results. The Hashin failure theory is judged to be unsuitable for application as a failure theory for the wedge-type anchorage system because the anchorage strength and failure mode were interpreted differently from the actual test results. CONCLUSIONS : The Hashin-Rotem failure theory was presented as the composite material failure theory most suitable for analyzing the behavior of wedge-type anchorage system.