• 한국환경과학회지
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• 제27권3호
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• pp.203-217
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• 2018

For this study, WRF numerical modeling was performed, using RDAPS information for input data on typhoons affecting the Korean peninsula to produce wind data of 700hPa. RAM numerical modeling was also used to calculate 3-second gusts as the extreme wind speed. After comparing wind speeds at an altitude of 10 m to evaluate the feasibility of WRF numerical modeling, modeled values were found to be similar with measured ones, reflecting change tendencies well. Therefore, the WRF numerical modeling results were verified. As a result of comparing and analyzing these wind speeds, as calculated through RAM numerical modeling, to evaluate applicability for disaster preparedness, change tendencies were observed to be similar between modeled and measured values. In particular, modeled values were slightly higher than measured ones, indicating applicability for the prevention of possible damage due to gales. Our analysis of 3-second gusts during the study period showed a high distribution of 3-second gusts in the southeast region of the Korean peninsula from 2002-2006. The frequency of 3-second gusts increased in the central north region of Korea as time progressed. Our analysis on the characteristics of 3-second gusts during years characterized by El $Ni{\tilde{n}}o$ or La Nina showed greater strength during hurricanes that affected the Korean peninsula in El $Ni{\tilde{n}}o$ years.

• 한국도로학회논문집
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• 제14권2호
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• pp.37-44
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• 2012

세계각국에서 홍수, 태풍과 같은 자연재해가 많이 발생하고 있다. 이러한 자연재해가 발생하는 원인으로는 지구온실가스 배출 증가에 따른 지구온난화 현상 때문이다. 지구온난화를 막기 위해, 많은 연구진들이 신재생에너지에 대한 연구를 진행하고 있다. 정부는 온실가스배출량을 감축하여 지구온난화를 막기위해 "저탄소 녹색성장"의 국가정책 하에서 신재생에너지와 같은 친환경적인 녹색산업에 많은 관심과 투자에 집중하고 있다. 연구팀들은 도로를 주행하는 차량으로부터 전달되는 역학전 에너지를 이용하여 신재생에너지를 생산하는 연구를 진행하고 있다. 본 논문에서는 압전세라믹의 크기와 연결방식에 따른 연구 결과를 나타내고 있다. 또한 실험변수에 따른 압전세라믹의 파워특성을 측정하여 분석을 하였다.

• 통합자연과학논문집
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• 제13권1호
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• pp.27-33
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• 2020

The unsustainable human activities like increased use of automobiles, heavy industrialization and the use of large volumes of fertilizers, chemicals and pesticides in the agricultural land cause climate change problems in one way or another. Under normal circumstances, the heat radiations from the sun will be reflected back. An excessive volume of GHGs in the atmosphere would prevent these radiations from reflecting back. East Asia is facing severe climate change issues in recent times. A lot of climate change problems such as hurricanes and floods have been reported from this region in the last couple of decades. The study aimed at investigating the climate change in East Asia with changing Sea Surface Temperature (SST). The study adopted a quantitative research method with a case study research design where a deliberate focus was made on the East Asia Region. Secondary data was gathered and analyzed to yield both descriptive and inferential statistics. The study concluded that the impact of East Asia Climate variability was significant mainly for some extreme events. Also, the study concluded that there was a significant link between the change of the East Asia climate variability and that of the sea surface temperature. Further, the study concluded that a linear relationship existed between the sea surface temperature and the climate of East Asia. Hence, a linear regression was a significant predictor of the East Asia Climate (EAC) based on changing sea surface temperature. The model revealed that 37.4% of the variations in the climate change index were explained by the changes in the sea surface temperature. The climate was expected to change with a value of 49.48 for a unit change in the sea surface temperature.

• 전자공학회논문지CI
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• 제49권2호
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• pp.1-6
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• 2012

최근 지구적인 기상 변화와 함께 태풍, 집중 호우 등으로 인한 재산 및 인명 피해가 크게 늘어가고 있다. 각 분야에서 재난을 소재로 한 여러 주장이 있어 왔다. 특히 영화까지 출시될 정도로 앞으로 이 세계에 불어 닥칠 기상변화에 촉각을 곤두세우고 있다. 해상에서 기상현상은 이런 피해를 줄이고 장기적으로 기상의 변화를 예측하려는 요구가 대두되고 있다. 본 연구에서는 적조현상을 다중선형 회귀분석과 인공신경망 기법을 통해 미리 예측하는 방법을 제시한다. 적조현상이 발생하는 원인에 위험수치를 보일시에 센서로 감지하여 기상 예측관에 데이터를 실시간으로 전송해줄 수 있는 유비쿼터스 기반의 맞춤형 해양 정보 서비스 시스템의 활용방안을 통하여 기상재해의 피해를 최소화할 수 있을 것으로 기대한다.

• Wind and Structures
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• 제23권3호
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• pp.211-229
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• 2016

In recent years, the frequency and duration of supply interruption in electric power transmission system due to flashover increase yearly in China. Flashover is usually associated with inadequate electric clearance and often takes place in extreme weathers, such as downbursts, typhoons and hurricanes. The present study focuses on the wind-induced oscillation of conductor during the process when a downburst is passing by or across a specified transmission line. Based on a revised analytical model recently developed for stationary downburst, transient three-dimensional wind fields of moving downbursts are successfully simulated. In the simulations, the downbursts travel along various motion paths according to the certain initial locations and directions of motion assumed in advance. Then, an eight-span section, extracted from a practical 500 kV ultra-high-voltage transmission line, is chosen. After performing a non-linear transient analysis, the transient displacements of the conductors could be obtained. Also, an extensive study on suspension insulator strings' rotation angles is conducted, and the electric clearances at different strings could be compared directly. The results show that both the variation trends of the transient responses and the corresponding peak values vary seriously with the motion paths of downburst. Accordingly, the location of the specified string, which is in the most disadvantageous situation along the studied line section, is picked out. And a representative motion path is concluded for reference in the calculation of each string's oscillation for the precaution of wind-induced flashover under downburst.

• Smart Structures and Systems
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• 제15권1호
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• pp.135-150
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• 2015

Large concrete structures are prone to cracks and damages over time from human usage, weathers, and other environmental attacks such as flood, earthquakes, and hurricanes. The health of the concrete structures should be monitored regularly to ensure safety. A reliable method of real time communications can facilitate more frequent structural health monitoring (SHM) updates from hard to reach positions, enabling crack detections of embedded concrete structures as they occur to avoid catastrophic failures. By implementing an unconventional mode of communication that utilizes guided stress waves traveling along the concrete structure itself, we may be able to free structural health monitoring from costly (re-)installation of communication wires. In stress-wave communications, piezoelectric transducers can act as actuators and sensors to send and receive modulated signals carrying concrete status information. The new generation of lead zirconate titanate (PZT) based smart aggregates cause multipath propagation in the homogeneous concrete channel, which presents both an opportunity and a challenge for multiple sensors communication. We propose a time reversal based pulse position modulation (TR-PPM) communication for stress wave communication within the concrete structure to combat multipath channel dispersion. Experimental results demonstrate successful transmission and recovery of TR-PPM using stress waves. Compared with PPM, we can achieve higher data rate and longer link distance via TR-PPM. Furthermore, TR-PPM remains effective under low signal-to-noise (SNR) ratio. This work also lays the foundation for implementing multiple-input multiple-output (MIMO) stress wave communication networks in concrete channels.

• Wind and Structures
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• 제34권2호
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• pp.231-257
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• 2022

Transmission lines systems are important components of the electrical power infrastructure. However, these systems are vulnerable to damage from high wind events such as hurricanes. This study presents the results from a 1:50 scale aeroelastic model of a multi-span transmission lines system subjected to simulated hurricane winds. The transmission lines system considered in this study consists of three lattice towers, four spans of conductors and two end-frames. The aeroelastic tests were conducted at the NSF NHERI Wall of Wind Experimental Facility (WOW EF) at the Florida International University (FIU). A horizontal distortion scaling technique was used in order to fit the entire model on the WOW turntable. The system was tested at various wind speeds ranging from 35 m/s to 78 m/s (equivalent full-scale speeds) for varying wind directions. A system identification (SID) technique was used to evaluate experimental-based along-wind aerodynamic damping coefficients and compare with their theoretical counterparts. Comparisons were done for two aeroelastic models: (i) a self-supported lattice tower, and (ii) a multi-span transmission lines system. A buffeting analysis was conducted to estimate the response of the conductors and compare it to measured experimental values. The responses of the single lattice tower and the multi-span transmission lines system were compared. The coupling effects seem to drastically change the aerodynamic damping of the system, compared to the single lattice tower case. The estimation of the drag forces on the conductors are in good agreement with their experimental counterparts. The incorporation of the change in turbulence intensity along the height of the towers appears to better estimate the response of the transmission tower, in comparison with previous methods which assumed constant turbulence intensity. Dynamic amplification factors and gust effect factors were computed, and comparisons were made with code specific values. The resonance contribution is shown to reach a maximum of 18% and 30% of the peak response of the stand-alone tower and entire system, respectively.

• Wind and Structures
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• 제39권1호
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• pp.1-14
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• 2024

Widespread damages from extreme winds have attracted lots of attentions of the resilience assessment of power distribution systems. With many related environmental parameters as well as numerous power infrastructure components, such as poles and wires, the increased challenge of power asset management before, during and after extreme events have to be addressed to prevent possible cascading failures in the power distribution system. Many extreme winds from weather events, such as hurricanes, generate widespread damages in multiple areas such as the economy, social security, and infrastructure management. The livelihoods of residents in the impaired areas are devastated largely due to the paucity of vital utilities, such as electricity. To address the challenge of power grid asset management, power system clustering is needed to partition a complex power system into several stable clusters to prevent the cascading failure from happening. Traditionally, system clustering uses the Binary Decision Diagram (BDD) to derive the clustering result, which is time-consuming and inefficient. Meanwhile, the previous studies considering the weather hazards did not include any detailed weather-related meteorologic parameters which is not appropriate as the heterogeneity of the parameters could largely affect the system performance. Therefore, a fragility-based network hierarchical spectral clustering method is proposed. In the present paper, the fragility curve and surfaces for a power distribution subsystem are obtained first. The fragility of the subsystem under typical failure mechanisms is calculated as a function of wind speed and pole characteristic dimension (diameter or span length). Secondly, the proposed fragility-based hierarchical spectral clustering method (F-HSC) integrates the physics-based fragility analysis into Hierarchical Spectral Clustering (HSC) technique from graph theory to achieve the clustering result for the power distribution system under extreme weather events. From the results of vulnerability analysis, it could be seen that the system performance after clustering is better than before clustering. With the F-HSC method, the impact of the extreme weather events could be considered with topology to cluster different power distribution systems to prevent the system from experiencing power blackouts.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2006년도 추계학술발표회
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• pp.193-199
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• 2006

본 논문은 열대저기압, 태풍 및 허리케인의 연구와 분석에 사용되는 몇 가지 마이크로파 방식들을 검토하였다. 마이크로파 신호는 폭풍 속 구름과 비에 의해 잘 흡수되지 않는 장점을 가지기 때문에 격렬한 폭풍을 동반하는 열대저기압의 관측에 있어 매우 유용하다. 그에 대한 장비들로 산란계(scsatterometers), 마이크로파 복사계(microwave radiometers), 합성개구레이더 (synthetic aperture radars; SARs), 강우레이더 (rain radar) 에 대해 살펴보았다. 이러한 마이크로파 장비들로부터 얻어진 열대저기압내의 바람, 강우, 구름분포와 같은 자료들은 태풍의 진로와 강도예측에 중요한 정보를 제공한다. ERS-1, 2 산란계와 RADARSAT-1 SAR로부터 얻어진 세부적인 바람장, 넓은 관측범위를 가지는 SSM/I 로부터 얻은 풍속분포, 높은 해상도를 가지는 TRMM 강우레이더의 강우 강도측정들은 이러한 예를 보여주고 있다. 초기 마이크로파 원격탐사에서 나타났던 해상도, 관측 폭과 같은 한계들은 최근 발사되어 운영되는 위성들의 장비들로 많은 개선이 이루어졌다. 이러한 마이크로파 장비들에 대한 충분한 이해와 활용은 열대저기압의 발생과 강도와 같은 특성들을 규명하는데 큰 역할을 할 것이다.

• 한국지리정보학회지
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• 제17권4호
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• pp.10-27
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• 2014

HAZUS-MH는 지진, 홍수 및 허리케인의 세 가지 다중 재해현상에 대한 잠정적 손실을 추정하기 위한 GIS 기반의 컴퓨터 프로그램이다. 지진 재난에 대해서는 HAZUS에 설정한 가상이나 실제 지진 특성에 따라 지진동의 세기가 평가되고 이에 따라 손실을 계산하게 된다. 본 연구에서는 해안 플랜트시설 영역의 향후 지진에 대한 대비의 일환으로 HAZUS를 활용하였다. 대상 시설 영역의 특성 평가를 위해 기존 지반조사 보고서를 토대로 지반특성 자료들을 취합하였다. 또한, 시설구조물들의 재료 및 구조 특성에 따라서도 분류하였다. 연구 영역은 부지 조성 및 시설 분포 상황을 고려하여 17개 블록으로 나누고 지반 조건을 내진설계기준의 부지분류 체계에 따라 구분하였다. 뿐만 아니라, 수치 모델링을 통해 주요 시설물들의 지진취약도 곡선들을 도출하고 HAZUS 데이터베이스에 적용하였다. 이 연구 영역에 대한 HAZUS 활용 추정 결과는 부지 조건 및 구조물 종류에 따라 다양한 지진 피해와 손실 정도를 보였다. 본 사례 연구를 통해 해안시설 영역의 지진 피해 평가를 위한 HAZUS의 적용 가능성을 확인하였다.