• Title/Summary/Keyword: Damage Patterns

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Evaluation of Static Behaviour of Orthotropic Steel Deck Considering the Loading Patterns (하중재하 패턴을 고려한 강바닥판의 정적거동 평가)

  • Kim, Seok Tae;Huh, Young
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.15 no.2
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    • pp.98-106
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    • 2011
  • The deck of steel box girder bridges is composed of deck plate, longitudinal rib, and transverse ribs. The orthotropic steel decks have high possibility to fatigue damage due to numbers of welded connection part, the heavy contact loadings, and the increase of repeated loadings. Generally, the local stress by the repeated loadings of heavy vehicles causes the orthotropic steel deck bridge to fatigue cracks. The increase of traffic volume and heavy vehicle loadings are promoted the possibility of fatigue cracks. Thus, it is important to exactly evaluate the structural behavior of bridge considering the contact loading area of heavy vehicles and real load patterns of heavy trucks which have effects on the bridge. This study estimated the effect of contact area of design loads and real traffic vehicles through the finite element analysis considering the real loading conditions. The finite element analysis carried out 4 cases of loading patterns in the orthotropic steel deck bridge. Also, analysis estimated the influence of contact area of real truck loadings by the existence of diaphragm plate. The result of finite element analysis indicated that single tire loadings of real trucks occurred higher local stress than one of design loadings, and especially the deck plate got the most influence by the single tire loading. It was found that the diaphragm attachment at joint part of longitudinal ribs and transverse ribs had no effects on the improvement of structural performance against fatigue resistance in elastic analysis.

Analysis of Drought Hotspot Areas Using Local Indicators of Spatial Association in the Nakdong River Basin (공간연관성 지표를 이용한 낙동강 유역의 가뭄 핫스팟 지역 분석)

  • Son, Ho-Jun;Byun, Sung Ho;Park, Kyung Woon;Kim, Ji Eun;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.2
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    • pp.175-185
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    • 2023
  • As drought risk increases due to climate change, various research works are underway around the world to respond to drought so as to minimize drought damage. In particular, in recent years, many studies are focused on analyzing regional patterns of drought in a comprehensive manner, however there is still insufficient to quantitatively identify drought-risk areas in a large river basin considering climate change in Korea. In this study, we calculated the Standardized Precipitation Index (SPI) and the Modified Standardized Precipitation Index (M_SPI) as representative meteorological drought index, and performed spatial autocorrelation analysis to identify the drought hotspot region under climate change scenarios of Representative Concentration Pathway (RCP) 4.5 and RCP 8.5. The SPI was calculated by estimating parameters for each observation station within the study area, whereas the M_SPI was calculated by estimating parameters for the entire study area. It is more reasonable to use the M_SPI for assessing meteorological drought from an overall perspective within the study area. When the M_SPI was used, long-term droughts showed drought hotspot areas clearly larger than short-term droughts. In addition, the drought hotspot area moved from the center of the Nakdong River basin to the Seomjin River basin over time. Especially, the moving patterns of the short-term/long-term drought were apparent under the RCP 4.5, whereas the moving patterns of the long-term drought were distinct under the RCP 8.5 scenarios.

A Study on the Patterns of New Terrorism through the Comparative Analysis with Conventional Terrorism (고전적 테러리즘과의 비교 분석을 통한 뉴 테러리즘 양상에 대한 연구)

  • Song, Jae-Hyeong
    • Journal of National Security and Military Science
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    • s.1
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    • pp.113-154
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    • 2003
  • We can feel the fear through the reports of outbreaking centers of terror. Also, we noticed through "the 9.11 terror" that there exists no safety zone from terrorism. However, we should question ourselves whether we are relaxing attention or ceasing anxiety too much in the perimeter, as in the peninsula of Korea. Through "the 9.11 terror", the vulnerability of the United State's homeland security has been exposed, giving a serious damage to the national pride. President Bush started the war against terror to strengthen global joints of anti-terrorism, identify terrorists and contribute to the global peace, adopting offensive realism including preemptive attack concept which means to remove the threat preemptively. In today's reality of international politics, where the inhuman, indiscriminate, and anti-civilizational international terror became greater, extending to the stage of war, the international societies' agony and focus lies on how to banish it. The 9.11 terrorism, which is a new form of terrorism, is being distinguished from conventional terrorism into new terrorism. New terrorism is a new form of terrorism meaning that you do not know the enemy, the goal does not exist and they conscientiously use the weapons of mass destruction. This paper is a work meant to help understanding new terrorism, the new form, by a comparative analysis with the conventional terrorism. Therefore the origin, concept and general characteristics new terrorism is picked out and the representative forms of it, which are suicide bombing, cyber, biochemical and nuclear terrorism, are analyzed in detail in theoretical manner.

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Glycogen synthase kinase 3β in Toll-like receptor signaling

  • Ko, Ryeojin;Lee, Soo Young
    • BMB Reports
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    • v.49 no.6
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    • pp.305-310
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    • 2016
  • Toll-like receptors (TLRs) play a critical role in the innate immune response against pathogens. Each TLR recognizes specific pathogen-associated molecular patterns, after which they activate the adaptor protein MyD88 or TRIF-assembled signaling complex to produce immune mediators, including inflammatory cytokines and type I IFNs. Although the activation of TLR is important for host defense, its uncontrolled activation can damage the host. During the past decade, numerous studies have demonstrated that GSK3β is a key regulator of inflammatory cytokine production in MyD88-mediated TLR signaling via TLR2 and TLR4. Recently, GSK3β has also been implicated in the TRIF-dependent signaling pathway via TLR3. In this review, we describe current advances on the regulatory role of GSK3β in immune responses associated with various TLRs. A better understanding of the role of GSK3β in TLR signaling might lead to more effective anti-inflammatory interventions.

Characteristics of Blade Force by Nozzle Passing Steam (노즐 통과 증기에 의한 블레이드에 작용하는 힘 특성)

  • Lee, Byounghak;Park, Jongho
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.10
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    • pp.895-901
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    • 2013
  • Last blades of LP turbine in nuclear power plant are the highly damaged part and suffered from nozzle steam impulses during the turbine operation. Nozzle impulse is known as a common cause of damage or failure in the turbine blade and results from steam flow distortions due to uneven steam flow patterns between the stationary blade vanes. If impulse force was continuously acting on the blade for a long time, crack or wear will occur in weak parts such as root. So, it is important to know variation of nozzle impulse during the blade moving. But there is no way to measure and estimate the magnitude and direction of nozzle impulse. Therefore, this study was performed to know the variation of nozzle impulse force according to the positions of the blade and to obtain blade equivalent force and torque. This results can be used for blade stress estimation.

The analysis of drought susceptibility using soil moisture information and spatial factors involved in satellite imagery (위성영상의 토양수분 정보와 공간적 요인을 고려한 가뭄 민감도 분석)

  • 박은주;황철수;성정창
    • Spatial Information Research
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    • v.10 no.3
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    • pp.481-492
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    • 2002
  • The severity and spatial Patterns of spring drought on the croplands arc investigated using satellite imagery(Landsat ETM+). It is necessary to analyze the area droughty conditions in order to decrease the damage and make the efficient policies. In this context, the information about soil moisture levels, which were fatal factors to the crop growth, was acquired from wetness calculated from Tasseled cap transformation. We confirmed that the wetness values have a strong correlation with NDVI and the principal components. The result showed that the intensity of vegetation covering the surface could be understood as the index of the impacts of drought on croplands and these relationships were effective to classify dry areas in satellite imagery.

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Building a Flood Database and Its Utilization to Reduce Flood Risk (수해시 피해경감을 위한 정보의 정비 및 활용)

  • An, Sang-Hyeok;Noguchi, M.
    • Journal of Korea Water Resources Association
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    • v.33 no.6
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    • pp.681-688
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    • 2000
  • For the reduction of flood damage, it is necessary to analyse shelter activities of local residents and to publish information of floodings, In this paper the control factors of individual refuge activities which are major activities to save peoples lives against floodings have been estimated. Decision making factors for mental refuge activity by the questionnaire survey were classified into two categories: internal and external ones. Furthermore, the behaviour patterns of residents for flood risk related to geographical and social factors were derived by the quantification method n. Since spatial layered information using GIS were corrected and estimated to serve citizen's consensus due to flood disaster, it would aid reduction and minimization of flood risk.d risk.

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Cell-type-specific Gene Expression Patterns in Human Carcinoma Cells followed by Irradiation (방사선에 의한 암세포주 특이적 유전자 발현 양상)

  • Park Ji-Yoon;Kim Jin-Kyu;Chai Young Gyu
    • Korean Journal of Environmental Biology
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    • v.23 no.2 s.58
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    • pp.152-156
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    • 2005
  • Ionizing radiation is a well- known therapy factor for human carcinoma cells. Genotoxic stress mediates cell cycle control, transcription and cellular signaling. In this work, we have used a microarray hybridization approach to characterize the cell type-specific transcriptional response of human carcinoma MCF-7 and HeLa cell line to $\gamma-radiation$, such as 4Gy 4hr. We found that exposure to $\gamma-ray$ alters by at least a $log_2$ factor of 1.0 the expression of known genes. Of the 27 genes affected by irradiation, 11 are down- regulated in MCF-7 cells and 2 genes induced by radiation,15 are repressed in HeLa cells. Many genes were involved in known damage- response pathways for cell cycling, transcription factor and cellular signaling response. However, in MCF-7 cells, we observed gene expression pattern in chromatin, apoptosis, stress, differentiation, cytokine, metabolism, ribosome and calcium. In HeLa cells, it showed clearly the expression changes in adhesion and migration, lysosome, brain, genome instability and translation. These insights reveal new therapy directions for studying the human carcinoma cell response to radiation.

Preliminary Study of Deep Learning-based Precipitation

  • Kim, Hee-Un;Bae, Tae-Suk
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.5
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    • pp.423-430
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    • 2017
  • Recently, data analysis research has been carried out using the deep learning technique in various fields such as image interpretation and/or classification. Various types of algorithms are being developed for many applications. In this paper, we propose a precipitation prediction algorithm based on deep learning with high accuracy in order to take care of the possible severe damage caused by climate change. Since the geographical and seasonal characteristics of Korea are clearly distinct, the meteorological factors have repetitive patterns in a time series. Since the LSTM (Long Short-Term Memory) is a powerful algorithm for consecutive data, it was used to predict precipitation in this study. For the numerical test, we calculated the PWV (Precipitable Water Vapor) based on the tropospheric delay of the GNSS (Global Navigation Satellite System) signals, and then applied the deep learning technique to the precipitation prediction. The GNSS data was processed by scientific software with the troposphere model of Saastamoinen and the Niell mapping function. The RMSE (Root Mean Squared Error) of the precipitation prediction based on LSTM performs better than that of ANN (Artificial Neural Network). By adding GNSS-based PWV as a feature, the over-fitting that is a latent problem of deep learning was prevented considerably as discussed in this study.

Decay Process of Charge Distribution in E-beam Irradiated Polymers (전자빔 조사 폴리머의 전자 분포의 축퇴 과정)

  • Choi, Yong-Sung;Kim, Hyung-Gon;Hwang, Jong-Sun;Lee, Kyung-Sup
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.04c
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    • pp.69-72
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    • 2008
  • Decay processes of accumulated charge in e-beam irradiated polymers during elevating temperature are observed using pulsed electro-acoustic measurement system. Since the polymeric materials have many superior properties such as light-weight, good mechanical strength, high flexibility and low cost, they are inevitable materials for spacecrafts. In space environment, however, the polymers sometimes have serious damage by irradiation of high energy charged particles. When the polymers of the spacecraft are irradiated by high energy charged particles, some of injected charges accumulate and remain for long time in the bulk of the polymers. Since the bulk charges sometimes cause the degradation or breakdown of the materials, the investigation of the charging and the decay processes in polymeric materials under change of temperature is important to decide an adequate material for the spacecrafts. By measuring the charge behavior in e-beam irradiated polymer, such as polyimide or polystyrene, it is found that the various accumulation and decay patterns are observed in each material. The results seem to be useful and be helpful to progress in the reliability of the polymers for the spacecraft.

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