• Journal of the Korean Society for Railway
• /
• v.6 no.2
• /
• pp.81-86
• /
• 2003

This study proposes the neural network simulator for the integrity evaluation of weld zone in railway rails. For these purposes, the ultrasonic signals for defects(crack) of weld zone in frames are acquired in the type of time series data and echo strength. The detection of the natural defects in railway truck is performed using the characteristics of echodynamic pattern in ultrasonic signal. And then their applications evaluated feature extraction based on the time-frequency-attractor domain(peak to peak, rise time, rise slope, fall time, fall slope, pulse duration, power spectrum, and bandwidth) and attractor characteristics (fractal dimension and attractor quadrant) etc. The constructed neural network simulator agrees fairly well with the measured results of test block(defect location, beam propagation distance, echo strength, etc). The Proposed neural network simulator in this study can be used for the integrity evaluation of weld zone in railway rails.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.4
• /
• pp.727-734
• /
• 2021

The purpose of this study is to analyze the perception of the residents of the new city by examining the consciousness of the occupants to understand the characteristics of the residents of the city of Bundang. As a result of evaluating and analyzing the durability by visual inspection and some equipment tests at the site of the on-site investigation, it was found that there is a problem with the quality, and continuous maintenance is required to improve the durability and usability of the apartment house. In particular, many cracks appearing in the rapidly deteriorated part should be repaired promptly, and a systematic plan should be formulated and carried out. In the apartment housing perception survey of Bundang new city residents, about 93.4% showed above-average satisfaction, and 43.4% showed a favorable preference toward the residential area.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.213-215
• /
• 2022

Recently, deep learning technology that processes images has been widely used in fire detection, autonomous driving, and defective product detection. In particular, in order to determine whether a product is contaminated or not, it can be identified through the contaminants passed from the existing sensor data, but technologies for recognizing cracks in products or contaminants themselves as images are being actively studied in various fields. In this paper, a system for classifying uncontaminated normal cups and contaminated cups through images was designed and implemented. The image was analyzed using an open image and a photographed image, and the image was analyzed by extracting the upper part of the cup image using Google Objectron for 3D object recognition. Through this study, it is thought that it will be used in various ways for research that can extract the contamination level of products required in the hygiene field based on images.

• Korean Journal of Social Welfare Studies
• /
• no.37
• /
• pp.319-344
• /
• 2008

The Purpose of this study is to observe the existence of welfare attitude split between welfare regimes clique and to explore the effect of institutional(regime) characteristics on welfare attitude. And Second purpose is to find the characteristics of structure of welfare attitude and then to clarify the characteristics of welfare attitude in Korea. This work contribute to find the point of solidarity and split and to work out the strategical clues for constructing pro-welfare politics. To compare the attitude on the state responsibility about the welfare, Sweden, France, US, and Korea is selected. And the effect of sex, age, education level, income class, and labor status which are abstracted from existing welfare state comparative study are analyzed. The result show the difference in welfare attitude score between countries. The welfare attitude score is Sweden, France and US in order. the Score in Korea is lowest. In the case of the effect structure of welfare attitude between countries, there are no differences between Sweden and France. But the specific characteristics in US and Korea, are observed. And the effect structure of sex, class, labor status is equal in Sweden, France, and US. That is, women, people in low class, and people in low labor status more emphasize the state responsibility on the welfare. But the effect structure of age of US is different comparing other countries. In US, the old age is tend to less support the state responsibility. The education level operate as the effect factor in only US. And Korea show the different effect structure on the welfare attitude. This understanding about structure of welfare consciousness become the basis to construct the strategy for welfare state by proposing the point of consensus and conflict to conversion of welfare paradigm.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2008.11a
• /
• pp.89-92
• /
• 2008

The seismic behavior of the lightly reinforced concrete frames (LRCFs) was controlled by the nonductile behavior of the critical regions. These critical regions require retrofit to improve the seismic behavior of the lightly reinforced concrete frames. Critical column end regions must be retrofit to increase the global ductility capacity. The objective of this research is to evaluate structural strengthening performance of lightly reinforced concrete frame with Strain hardening cement composite(SHCC) experimentally. The experimental investigation consisted of a cyclic load tests on 1/3-scale models of precast infill walls. Reinforcement detail of infill wall was variables in the experiment. The experimental results, as expected, show that the multiple crack pattern, strength, ductility and energy dissipation capacity are superior for specimen with SHCC infill wall due to bridging of fibers and stress redistribution in cement matrix.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.17 no.4
• /
• pp.248-261
• /
• 1997

Ultrasonic pattern recognition is the most effective approach to the problem of discriminating types of flaws in weldments based on ultrasonic flaw signals. In spite of significant progress in the research on this methodology, it has not been widely used in many practical ultrasonic inspections of weldments in industry. Hence, for the convenient application of this approach in many practical situations, we develop an intelligent ultrasonic signature classification software which can discriminate types of flaws in weldments based on their ultrasonic signals using various tools in artificial intelligence such as neural networks. This software shows the excellent performance in an experimental problem where flaws in weldments are classified into two categories of cracks and non-cracks. This performance demonstrates the high possibility of this software as a practical tool for ultrasonic flaw classification in weldments.

• Proceedings of the KWS Conference
• /
• 2010.05a
• /
• pp.30-30
• /
• 2010

고강도강의 용접성은 저온균열 저항성으로 대변되는데, TMCP강과 HSLA강 등이 개발되면서 고강도강의 저온균열저항성이 크게 향상되어 무예열 용접성이 확보되었다. 그러나 용접재료 측면에서는 그에 상응하는 재료의 개발이 지연되어 강재 개발로 인한 우수한 성능을 충분히 발휘하지 못하고 있으며 용접부의 건전성 문제가 심각하게 인식되고 있다. 이로 인해 고강도강에 적용시킬 수 있는 무예열 용접재료의 필요성이 대두되어 개발이 진행되고 있으며 상용화를 앞두고 있다. 이러한 용접재료의 개발단계에서 합금설계는 가장 중요한 항목으로 합금 조성에 따라 용착금속의 강도 및 인성에 상당한 변화를 가져오기 때문이다. 합금원소 중 Al은 강재의 탈산을 돕기 때문에 가능한 많은 양의 첨가를 요구하지만 적정량 이상을 초과하게 되면 오히려 용착금속의 저온인성 특성에 부정적인 영향을 미치게 된다. 본 연구에서는 고강도 GMA 용착금속의 Al함량을 단계적으로 변화시켜 용착금속 내 최적의 Al의 함량을 찾고자 하였다. 또한 높은 비용 및 많은 시간을 필요로 하는 와이어로드를 제작하지 않고도 Al함량을 조절 할 수 있는 방법을 고안하고자 하였다. 실험의 모재는 HSLA-100강을 사용하였으며 용접재료는 ER120S-G급의 GMA용접 재료를 사용하였다. 모재 성분과의 희석을 방지하기 위해 V-Groove 가공 후 6패스 Buttering 용접을 실시하였고, 다시 Buttering용접부에 V-Groove 가공을 하여 최종 용접을 실시하였다. 이 때 Al함량을 조절하기 위해 최종 용접 개선부 밑면에 홈을 판 후 Al fiber(직경 0.3mm)를 깔고 용접(입열량 20kJ/cm)하여 Al함유량을 총 3가지(0.003~0.04% Al)로 제어하였다. 용접 후 각각의 시편에 대해 미세조직, 충격시험, O/N분석, 성분분석 등의 시험을 수행하여 저온인성과의 상관관계를 알아보았다.

• Journal of Korean Society of Steel Construction
• /
• v.19 no.3
• /
• pp.271-280
• /
• 2007

This paper presents the results of an experimental study to evaluate the redundancy in two plate-girder bridges, which are generally classified as non-redundant load path structures. The study was performed at a time when one of the two girders was damaged. The bottom lateral bracing was considered the experimental variable, and two 1/5-scale bridge specimens of simple span with and without a lateral bracing system were fabricated. Loading tests were first performed on the intact specimens without a cracked girder, within an elastic range. Thereafter, the ultimate loading tests were conducted on the damaged specimens with an induced crack at the center of a girder. The test results showed that the cross beams and the concrete deck redistributed some of the load to the uncracked girder, but the lateral bracing system played an important role in improving the redundancy during the damage and was also effective for load redistribution even when the bridge was intact.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.19 no.5
• /
• pp.22-29
• /
• 2015

Modern structures is the tendency of being increasingly taller and larger. The concrete with large weight has the disadvantage of increasing the weight on the structure. therefore, the method of carrying out the weight saving of the concrete is required. one of such method is to use a lightweight aggregate. However, studies on structural lightweight concrete, lacking for the recognition of the lightweight concrete, so also is lacking. therefore it is necessary to study on the physical characteristic value of the lightweight concrete. In this study, in order to investigate the tensile properties of lightweight concrete, Crack mouth opening displacement (CMOD) experiments were carried out. the fracture energy of the lightweight concrete subjected to inverse analysis were derived from the CMOD experimental results.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.41 no.4
• /
• pp.417-428
• /
• 2021

Since future maintenance cost estimation of infrastructure involves uncertainty, it is important to make use of a failure prediction model. However, it is difficult for local governments to develop accurate failure prediction models applicable to infrastructure due to a lack of budget and expertise. Therefore, this study estimated the life expectancy of asphalt road pavement of national highways using the Bayesian Markov Mixture Hazard model. In addition, in order to accurately estimate life expectancy, environmental variables such as traffic volume, ESAL (Equivalent Single Axle Loads), SNP (Structural Number of Pavement), meteorological conditions, and de-icing material usage were applied to retain reliability of the estimation results. As a result, life expectancy was estimated from at least 13.09 to 19.61 years by region. By using this approach, it is expected that it will be possible to estimate future maintenance cost considering local failure characteristics.