• Title/Summary/Keyword: 위험성예측모델

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Thermal Fluid Flow Analysis of Environment-Friendly Power Transformer Using CFD (CFD를 이용한 환경친화형 전력용 변압기의 열유동해석)

  • Kim, Ji-Ho;Kim, Jong-Wang;Kweon, Dong-Jin;Woo, Jung-Wook;Koo, Kyo-Sun;Lee, Hyang-Beom
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.924-925
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    • 2011
  • 본 논문에서는 환경친화적이고, 인화점 및 발화점이 높아 화재의 위험도가 낮은 식물성 절연우를 기존 변압기의 광유를 대체로 사용하기 위한 열적 특성을 열유동해석을 이용하여 온도분포를 수치해석을 통하여 예측하였다. 해석모델로는 154kV 급 단상 내철형 유입자냉식 변압기를 대상으로 CFD 해석을 수행하였으며, 광유와 식물성 절연유는 부하의 변화에 따른 온도특성을 파악하는 동시에 핫스팟(hot spot)을 예측하였다. 본 논문은 변압기를 3차원 모델링하여 유동 및 온도 분포를 해석한 결과, 변압기의 내부 온도 및 핫스팟 추적에 대하여 변압기의 수명에 대한 예측이 가능하며, 식물성 절연유를 사용한 전력용 변압기 온도 분포 해석결과는 식물성 절연유의 적용 및 냉각 설계 변경에 기초자료롤 활용될 것이다.

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A Development of a Seismic Vulnerability Model and Spatial Analysis for Buildings (건물에 대한 지진취약도 모델링 및 공간 분석)

  • Kim, Sang-Bin;Kim, Seong-Hoon
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.9-18
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    • 2020
  • The purpose of this study is to suggest a method of predicting seismic vulnerability and safety conditions of each building in a targeted area. The scope of this study includes 'developing a simulation model for precaution activities,' 'testing the validity of the developed model', From the facility point of view, target of this study is a local building system. According to the literature review, the number of earthquake prediction modeling and cases with GIS applied is extremely few and the results are not proficient. This study is conducted as a way to improve the previous researches. Statistic analyses are conducted using 348 domestic and international data. Finally, as a result of the series of statistical analyses, an adequate model is developed using optimization scale method. The ratio of correct expectation is estimated as 87%. In order to apply the developed model to predict the vulnerability of the several chosen local building systems, spatial analysis technique is applied. Gangnam-gu and Jongro-gu are selected as the target areas to represent the characteristics of the old and the new downtown in Seoul. As a result of the analysis, it is discovered that buildings in Gangnam-gu are relatively more dangerous comparing to those of Jongro-gu and Eunpyeong-gu.

Development of penetration rate prediction model using shield TBM excavation data (쉴드 TBM 현장 굴진데이터를 이용한 굴착속도 예측모델 개발)

  • La, You-Sung;Kim, Myung-In;Kim, Bumjoo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.4
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    • pp.519-534
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    • 2019
  • Mechanized tunneling methods, including shield TBM, have been increasingly used for tunnel construction because of their relatively low vibration and noise levels as well as low risk of rock-falling accidents. In the excavation using the shield TBM, it is important to design penetration rate appropriately. In present study, both subsurface investigation data and shield TBM excavation data, produced for and during ${\bigcirc}{\bigcirc}{\sim}{\bigcirc}{\bigcirc}$ high-speed railway construction, were analyzed and used to compare with shield TBM penetration rates calculated using existing penetrating rate prediction models proposed by several foreign researchers. The correlation between thrust force per disk cutter and uniaxial compressive strength was also examined and, based on the correlation analysis, a simple prediction model for penetration rate was derived. The prediction results using the existing prediction models showed approximately error rates of 50~500%, whereas the results from the simple model proposed from this study showed an error rate of 15% in average. It may be said, therefore, that the proposed model has higher applicability for shield TBM construction in similar ground conditions.

ISO 9705 Room-Corner Test & Model simulations (ISO 9705 Room-Corner Test와 모델 평가)

  • ;S.E. Dillom;J,G Quintiere
    • Fire Science and Engineering
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    • v.13 no.2
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    • pp.3-11
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    • 1999
  • New examination of a predictive model for the ISO 9705 room-corner test have been m made for materials studied by L S Fire Laboratories, Italy. The ISO 9705 test subjects wall a and ceiling mounted materials to a comer ignition source of 100 kW for a duration of 10 m minutes; if flashover does not occur this is followed by 300 kW for another 10 minutes. The m materials that did not stay in place during combustion because of melting, dripping, or d distorting were simulated by an adjustment to the material's total available energy. For m mat려als that remain in place the simulation model appears to do well in its prl어ictions. A l large-s떠Ie room test results 뾰 compar벼 with the m여el’s prediction also.

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Analysis of Building Vulnerabilities to Typhoon Disaster Based on Damage Loss Data (태풍 재해에 대한 건물 취약성의 피해손실 데이터 기반 분석)

  • Ahn, Sung-Jin;Kim, Tae-Hui;Son, Ki-Young;Kim, Ji-Myong
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.6
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    • pp.529-538
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    • 2019
  • Typhoons can cause significant financial damage worldwide. For this reason, states, local governments and insurance companies attempt to quantify and mitigate the financial risks related to these natural disasters by developing a typhoon risk assessment model. As such, the importance of typhoon risk assessment models is increasing, and it is also important to reflect local vulnerabilities to enable sophisticated assessments. Although a practical study of economic losses associated with natural disasters has identified essential risk indicators, comprehensive studies covering the correlation between vulnerability and economic loss are still needed. The purpose of this study is to identify typhoon damage indicators and to develop evaluation indicators for typhoon damage prediction functions, utilizing the loses from Typhoon Maemi as data. This study analyzes actual loss records of Typhoon Maemi provided by local insurance companies to prepare for a scenario of maximum losses. To create a vulnerability function, the authors used the wind speed and distance from the coast and the total value of property, construction type, floors, and underground floor indicators. The results and metrics of this study provide practical guidelines for government agencies and insurance companies in developing vulnerability functions that reflect the actual financial losses and regional vulnerabilities of buildings.

Long-term Prognostic Value of Dipyridamole Stress Myocardial SPECT (디피리다몰 부하 심근관류 SPECT의 장기예후 예측능)

  • Lee, Dong-Soo;Cheon, Gi-Jeong;Jang, Myung-Jin;Kang, Won-Jun;Chung, June-Key;Lee, Myoung-Mook;Lee, Myung-Chul;Kang, Wee-Chang;Lee, Young-Jo
    • The Korean Journal of Nuclear Medicine
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    • v.34 no.1
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    • pp.39-54
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    • 2000
  • Purpose: Dipyridamole stress myocardial perfusion SPECT could predict prognosis, however, long-term follow-up showed change of hazard ratio in patients with suspected coronary artery disease. We investigated how long normal SPECT could predict the benign prognosis on the long-term follow-up. Materials and Methods: We followed up 1169 patients and divided these patients into groups in whom coronary angiography were performed and were not. Total cardiac event rate and hard event rate were predicted using clinical, angiographic and SPECT findings. Predictive values of normal and abnormal SPECT were examined using survival analysis with Mantel-Haenszel method, multivariate Cox proportional hazard model analysis and newly developed statistical method to test time-invariance of hazard rate and changing point of this rate. Results: Reversible perfusion decrease on myocardial perfusion SPECT predicted higher total cardiac event rate independently and further to angiographic findings. However, myocardial SPECT showed independent but not incremental prognostic values for hard event rate. Hazard ratio of normal perfusion SPECT was changed significantly (p<0.001) and the changing point of hazard rate was 4.4 years of follows up. However, the ratio of abnormal SPECT was not. Conclusion: Dipyridamole stress myocardial perfusion SPECT provided independent prognostic information in patients with known and suspected coronary artery disease. Normal perfusion SPECT predicted least event rate for 4.4 years.

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Development of a regressive prediction method of solute transport in rivers based on relation between breakthrough curve and travel distance (하천에서 농도곡선-유하거리 상관성 기반 회귀적 물질혼합 예측 기법)

  • Kim, Byunguk;Seo, Il Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.45-45
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    • 2022
  • 산업화에 따른 화학물질 사용량의 증가는 담수로의 유해화학물질 유출사고의 위험을 증가시키며, 이러한 사고는 하천수 수질과 수환경 생태계에 심각한 위해와 손상을 야기한다. 이러한 수질사고 발생시 신속 대응을 위해, 하천에 유입된 물질의 거동을 신속하게 예측하는 것이 필요하며 이 경우 1차원 추적모형이 주로 사용된다. 1차원 물질혼합 모형은 하천을 하나의 유선으로 보며, 복잡한 하천흐름의 시스템을 현상학적으로 해석하고, 오염물질의 이송 및 혼합 메카니즘을 모델 매개변수에 반영하여 모형화한다. 이러한 매개변수들은 직접적으로 측정하기 어려우며, 이론에 기반한 매개변수 산정 기법이 구축되지 않은 실정이다. 따라서 대부분의 연구에서는 추적자 실험을 실시하여 유한한 하천구간에서 추적자의 시간-농도곡선(Breakthrough curve, BTC)을 취득하고, 이를 통하여 대상 구간의 매개변수를 역산하는 최적화 기법에 의존하고 있다. 하지만, 모든 하천구간에 대하여 추적자 실험을 수행하여 데이터를 확보하는 것이 어렵기 때문에 최적화 기법의 적용성에 한계가 있다. 본 연구는 흐름정보가 제공되지 않은 미계측 하천구간에서 BTC를 신속하게 예측할 수 있는 회귀모형을 구축하는 것을 목표로 한다. 국내 하천에서 수행한 4회의 추적자 실험으로부터 취득한 28개 구간 케이스의 데이터에 대하여 농도곡선 전처리를 수행하고 14개의 통계적 특징을 추출하였으며, 계측된 흐름특성과의 상관관계를 분석하였다. 분석 결과, 대상 구간에서의 BTC의 변화가 추적자의 유하거리에 매우 높은 상관관계를 보였으며, 이를 이용하여 회귀모형을 제시하였다. 제안된 회귀모형을 적용하여 하류의 지점에서의 BTC를 예측하였으며, 1차원 이송-분산 방정식과 하천저장대모형을 활용한 예측결과와 비교하여 검증하였다. 그 결과, BTC의 변화특성을 활용한 회귀적 예측이 하천 지형 및 흐름의 변동성이 작은 구간에서 1차원 혼합모형들을 이용한 예측보다 더 높은 정확도를 보였으며, 이러한 장점은 장거리 예측에서 더 분명하게 나타났다.

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Establishment of a Dynamic Factor Prediction Module for Risk Assessment in Coastal Activity Sites (연안활동장소 위험도 평가를 위한 동적요소 예측 모듈 구축)

  • Young Jae Yoo;Dong Soo Jeon;Won Kyung Park
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.35 no.5
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    • pp.95-101
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    • 2023
  • Recent persistent coastal developments have expanded recreational areas and enhanced accessibility. However, this growth has also led to a rise in safety incidents. These accident factors can be divided into human-made and natural types. The latter is comprised of dynamic factors like waves, tides, sea fogs, and winds. While institutions like the Korea Meteorological Administration and the Korea Hydrographic and Oceanographic Agency already offer data on these dynamic factors, the resolution is often insufficient for a precise assessment of localized risks. In this study, to overcome these limitations, we utilized the dynamic information from existing open systems to construct a high-resolution numerical simulation. Through this, we developed an automated module to predict dynamic factors in localized coastal activity areas. Particularly during the module's construction, we compared and reviewed the numerical prediction results for waves with observed wave heights.

A Study on Total Hazard Level Algorithm Development for Hazardous Chemical Substances (유해화학물질의 종합위해등급 알고리즘 개발에 관한 연구)

  • 고재선;김광일;정상태
    • Fire Science and Engineering
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    • v.14 no.4
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    • pp.7-16
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    • 2000
  • In the study, three criteria(toxicity, fire & explosion, environment) and damage prediction method for each case was set up, and all these criteria were applied to the subject substance that was selected as hazardous level by integrating all criteria through Algorithm. Particularly, the environment criterion is a comprehensive concept, environment index modeling by combining USCG(United State Coast Guard) & MSDS(Material Safety Data Sheet) environment criteria classifications and the environment part of MFPA's health hazardousnes(Nh). And for damage prediction method of each criterion were adopted and they were applied to hazardous chemical substances in use or stored by chemical substance related enterprises located in each region that made possible to set up total hazard level of used substances(inflammability, poisonousness and counteraction on a unit substance, and hazard level & display modeling on environment) & damage prediction in case of accident & solidity setup(CPQRA: Chemical Process Quantitative Risk Assessment, IAEA: International Atomic Energy Agency, VZ eq: Vulnerable Zone) risk counter. Thus it is deemed that it can be applied to toxic substance leakage that can happen during any chemical processing & storage, application as a tool for prior safety evaluation through potential dangerousness computation of fire & explosion.

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Prediction Model of Endurance Time to Isotonic Contraction Exercise for Biceps Brachii using Multiple Regression Analysis with Personal Factors and Anthropometric Data (신체측정치수를 적용하여 다중회귀 분석을 통한 위팔두갈래근 등장성 운동의 근지구력시간 예측모델 연구)

  • Jeong, Ju-Young;Lee, Sang-Sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.2
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    • pp.178-186
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    • 2015
  • Endurance time is very important indicator to estimate muscle fatigue. In the case of measuring endurance time directly, it is dangerous for subject to perform a test until the point of failure to main time force. Therefore, this paper presents the model to estimate endirance time using indirect measurements such as personal factors and anthropometrical data. Previous studies had shown that personal factors such as gender and age were not related to endurance time, but recently studies have shown that it is estimated by using independent variable or predictor such as GTA (Gravitational Torque of the horizontal, stretched arm) and MVC (Maximum Voluntary Contraction). The present study investigated variables to estimate endurance time using personal factors and anthrometrical data during isotonic contractions. Twenty five healthy subject volunteered for this study, and performed three test sessions of isotonic contraction exercises at 10~50% respectively. Afterward the correlation coefficient and p-values were compared among regression models using personal factors and anthropometrical data. The results demonstrated that multi-regression model had significant coefficient of correlation, and was useful estimate endurance time.