• 대한조선학회논문집
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• 제45권2호
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• pp.175-185
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• 2008

One of the concerns that arise during navigation in ice-covered waters is the magnitude of ice loads encountered by ships. However, the accurate estimation of ice loads still remains as a rather difficult task in the design of icebreaking vessels. This paper focuses on the development of simple ice load prediction formulas for the icebreaking cargo vessels. The maximum ice loads are expected from unbroken ice sheet and these loads are most likely to be concentrated at the bow area. Published ice load data for icebreaking vessels, from the model tests and also from full-scale sea trials, are collected and then several ice load prediction formulas are compared with these data. Finally, based on collected data, a semi-empirical ice load prediction formula is recommended for the icebreaking cargo vessels.

• Smart Structures and Systems
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• 제24권4호
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• pp.507-524
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• 2019

A Bayesian dynamic linear model (BDLM) is presented for a data-driven analysis for response prediction and load effect separation of a revolving auditorium structure, where the main loads are self-weight and dead loads, temperature load, and audience load. Analyses are carried out based on the long-term monitoring data for static strains on several key members of the structure. Three improvements are introduced to the ordinary regression BDLM, which are a classificatory regression term to address the temporary audience load effect, improved inference for the variance of observation noise to be updated continuously, and component discount factors for effective load effect separation. The effects of those improvements are evaluated regarding the root mean square errors, standard deviations, and 95% confidence intervals of the predictions. Bayes factors are used for evaluating the probability distributions of the predictions, which are essential to structural condition assessments, such as outlier identification and reliability analysis. The performance of the present BDLM has been successfully verified based on the simulated data and the real data obtained from the structural health monitoring system installed on the revolving structure.

• 대한토목학회논문집
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• 제29권4C호
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• pp.145-151
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• 2009

일반적으로 풍화암에 근입된 현장타설말뚝은 지지력이 매우 크므로 많은 경우에 설계하중만을 검증한 다음 극한하중을 확인하기 전에 재하시험을 종료한다. 그러나 만일 미완성 하중-침하 곡선으로부터 신뢰할 수 있는 극한하중의 예측이 가능하다면 설계의 질적인 향상뿐만 아니라 경제적인 면에서도 크게 기여를 할 수 있을 것이라고 생각된다. 본 연구의 목적은 극한하중을 얻지 못한 말뚝 재하시험의 하중-침하 곡선으로부터 외삽법을 이용하여 추정한 극한하중의 신뢰성 판단 방법을 제안 하는데 있다. 이를 위해 극한하중이 구해진 10본의 말뚝을 3개 현장에 걸쳐서 수집하였다. 그리고 이 10개의 하중-침하 곡선으로부터 Davisson 방법을 이용하여 구한 실제 계측 극한하중의 25%, 50%, 60%, 70%, 80%, 그리고 90%에 해당하는 하중-침하 곡선 자료만이 확보되었다고 가상하고 각각의 자료에 대하여 쌍곡선 방법으로 외삽한 다음, 극한하중을 새로이 결정하였다. 이렇게 결정된 외삽 극한하중의 신뢰성을 통계분석을 통하여 평가하였다. 그 결과, 확보하였다고 가상한 하중-침하 곡선의 최대 침하량 대 외삽 극한하중에서의 침하량 비가 0.6 이상인 경우, 외삽으로 예측한 극한하중은 실제 계측 극한하중보다 평균적으로 20% 이내에서 보수적인 값을 나타내었다. 또한, 항타말뚝의 정재하시험 자료에 대하여 본 논문에서 제안한 방법으로 분석하여 동일한 결과를 확인하였다.

• 환경위생공학
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• 제14권3호
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• pp.1-9
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• 1999

In the estimation of pollution load in water basin, a data information has generally used from surveyed data. A Geographic Information System(GIS) was adopted to evaluate the amount of pollution load in Anyang stream basin which is one of the major tributaries in the Han river flows through urban area. The digital maps of administrative boundary, stream network, sub-basin, soil type, and land-use for spatial data as well as attribute data were generated. And the database of sub-basins and pollution source was structured to estimate pollution load in Anyang stream basin by an Arc/Info GIS.As the results of this investigation, the pollution load of Mokgam-chun sub-basin was the highest amount. And that of Hagi-chun sub-basin and the fourth main stream sub-basin were also high amount in Anyang stream basin. In general, it was found that the pollution load generated from the upstream area in Kyunggi province was higher than that from downstream area in Seoul. Because the point and non-point source pollution load played very significant role in the deterioration of the water quality of the Anyang stream, an integrated approach to water quality management should be required for the sub-basins of high pollution load amount.

• 전기학회논문지
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• 제67권1호
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• pp.96-102
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• 2018

For efficient operating strategy of electric power system, forecasting of daily peak electric load is an important but difficult problem. Therefore a daily peak electric load forecasting system using a neural network and fuzzy system is presented in this paper. First, original peak load data is interpolated in order to overcome the shortage of data for effective prediction. Next, the prediction of peak load using these interpolated data as input is performed in parallel by a neural network predictor and a fuzzy predictor. The neural network predictor shows better performance at drastic change of peak load, while the fuzzy predictor yields better prediction results in gradual changes. Finally, the superior one of two predictors is selected by the rules based on rough sets at every prediction time. To verify the effectiveness of the proposed method, the computer simulation is performed on peak load data in 2015 provided by KPX.

• 산업경영시스템학회지
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• 제35권1호
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• pp.24-31
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• 2012

This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user's interface for a certain period of time. This is about smart grid, which reduces electric power load through simultaneous load factor of electric power reduction system supervision agent. Also, this study has the following characteristics. First, it is the user interface which enables authorized users to enter and send/receive such data as demand plan and using schedule for a certain period of time. Second, it is the database server, which collects, classifies, analyzes, saves and manages demand forecast data for a certain period of time. Third, is the simultaneous load factor of electric power control agent, which controls usage of electric power by getting control signal, which is intended to reduce the simultaneous load factor of electric power by the use of the time sharing control system, form the user interface, which also integrate and compare the data which were gained from the interface and the demand forecast data of the certain period of time.

• Journal of Electrical Engineering and Technology
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• 제2권3호
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• pp.329-334
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• 2007

In this paper, a new load flow algorithm is proposed on the basis of distributed load modeling in radial distribution networks. Since the correct state data in the distribution power networks is basic for all distribution automation algorithms in the Distribution Automation System (DAS), the distribution networks load flow is essential to obtain the state data. DAS Feeder Remote Terminal Units (FRTUs) are used to measure and acquire the necessary data for load flow calculations. In case studies, the proposed algorithm has been proven to be more accurate than a conventional algorithm; and it has also been tested in a simple radial distribution system.

• 설비공학논문집
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• 제19권6호
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• pp.427-433
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• 2007

Generally, H.V.A.C load capacity in early planning phase can presume with maximum thermal load. Basic data can prove by air conditioning equipment system data analysis at existing building. There are poor and not reliable alternative presentation. In this paper, measured data after use H.V.A.C load calculation K-load program reply choosing standard building and variables simulation. And I founded peak load correlation graph and mode for several kinds of variable and contents of size. I wish that equipment designer is beaconed to produce optimum capacity at building as quantitative through this result.

• 대한기계학회논문집B
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• 제37권8호
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• pp.789-798
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• 2013

형식인증시험을 통해 획득된 풍력발전기의 기계적 하중 데이터를 분석하기 위한 관련 프로그램 개발과 절차가 수행되었다. IEC 61400-13 규격을 기반으로 하는 측정 데이터에 대한 검증, 하중유형에 따른 분류, 시계열 및 통계 데이터 분석, 파워 스펙트럼 밀도함수 및 피로하중 스펙트럼 계산, 등가하중 계산 등의 절차가 본 프로그램을 통해 수행되었다. 수집된 데이터들이 피로하중을 산정하기에 충분한가를 판단하기 위해 정상전력생산의 경우에 대한 수집행렬을 구성하였다. 50 개의 하중 범위 분할 개수를 사용하는 우수집계법을 통해 피로하중 스펙트럼이 얻어지며, 사용된 재료에 따라 다르게 S-N 선도의 기울기를 적용하여 최종적으로 등가하중을 산출하였다. 모노파일 하부구조를 가지는 NREL 5MW 풍력발전기의 공탄성 시뮬레이션 데이터에 이용하여 위의 전반적인 절차를 수행하였다.

• 설비공학논문집
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• 제24권3호
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• pp.212-217
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• 2012

The cooling of data centers has emerged as a significant challenge as the density of IT equipment increased. With the rapid increasing of heat load and cooling system, predictions for electronics power trends have been closely watched. A data center power density projection is needed so that IT organizations can develop data centers with adequate cooling for reasonable lifetimes. This paper will discuss the need for something more than processor and equipment power trend projections which have overestimated the required infrastructure for customers. This projection will use data from a survey of actual enterprise data centers and the ASHRAE projections to formulate a data center server heat load trend projection.