• Title/Summary/Keyword: 총 기대비용함수

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Determination of optimal flood using total expected cost function (총 기대비용함수를 이용한 최적설계홍수량 결정)

  • Kim, Sang Ug;Choi, Kwang Bae;Seo, Dong Il;Cheon, Young Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.287-287
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    • 2022
  • 홍수빈도분석의 실용적 측면의 목적은 특정 재현기간에 대하여 발생 가능한 홍수량을 설계홍수량(design flood)으로 설정함으로써 댐, 제방, 배수시설, 하수관거 등의 치수기능을 가진 치수시설물이 설계홍수량 내에서 홍수로 인한 피해를 발생시키지 않도록 그 규모와 기능을 설계함에 있다. 특히 우리나라의 경우 유량자료의 부족으로 강우빈도분석을 수행하여 재현기간별 확률강우량을 먼저 산정하고 이를 강우-유출모형을 통해 확률홍수량으로 전환한 뒤 하천등급에 따른 재현기간 기준에 따라 설계홍수량을 산정하고 있다. 그러나 이와 같이 결정된 설계홍수량이 특정유역에서 발생될 수 있는 피해규모에 대해 얼마나 적정한 지의 여부를 과학적으로 판단하기 위한 연구는 국내·외에서 찾아보기 어려우며, 이러한 문제를 개선하기 위한 기초 이론을 제공하는 것이 본 연구의 가장 중요한 목표이다. 홍수빈도분석을 통해 산정된 설계홍수량의 적정성 여부를 과학적으로 판단하기 위해 최근에 진행된 해외의 몇몇 연구에서는 총 기대비용함수(total expected cost function)의 개발에 근거한 최적설계홍수량을 활용할 수 있음을 제안한 바 있다. 이 개념은 계획된 설계홍수량 이상에서 발생될 수 있는 피해함수(damage function) 및 기대피해함수(expected damage function)와 비용함수(cost function)가 결정되면, 이로부터 총 비용을 나타내는 총 기대비용함수(total expected cost function)을 도출하고 총 기대비용함수가 최소가 되는 최적설계홍수량(optimal design flood)을 산정하여 이를 계획된 설계홍수량(tentative design flood) 비교함으로써 계획된 설계홍수량의 적정성을 판단하는 과정을 기초이론으로 활용한다. 본 연구에서는 불확실성으로 발생되는 범위를 고려한 최적설계홍수량을 산정하기 위하여 Metropolis-Hastings 알고리즘을 사용하였으며, 자료의 종류에 따른 홍수량의 변화를 분석하기 위하여 년최대계열 및 부분시계열 자료를 각각 적용하였다. 한강유역에서 가평대성, 여주 및 한강대교 수위표 지점에서 측정된 자동관측유량장치에 의한 홍수량 자료를 활용하였으며, 최적설계홍수량이 기존 설계홍수량에 비해 크게 산정됨을 알 수 있었다.

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Estimating optimal flood of the hydroelectric dams on the Bukhangang River (북한강 수계 수력발전댐의 최적설계홍수량 추정)

  • Kim, Sang Ug;Choi, Kwang Bae;Seo, Dong Il;Cheon, Young Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.286-286
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    • 2022
  • 홍수피해를 최소화하기 위한 수공구조물의 적정 규모 결정을 위해 사용되는 홍수빈도분석에는 통계적 분석절차에 따른 불확실성이 포함된다. 따라서 불확실성이 포함된 범주 내에서 가장 적절한 설계홍수량(design flood)를 결정하는 과정은 수공구조물의 최종단계에서 중요하게 다루어져야 하는 부분이나 이를 제시한 연구는 많지 않다. 비용-편익 분석기법을 홍수빈도분석 절차에 도입하여 구성되는 총 기대비용함수(total expected cost function)는 설계홍수량 중 최적 설계홍수량(optimal design flood)를 결정하기 위한 새로운 접근방식이다. 이 절차는 UNCODE(UNcertainty COmpliant DEsign)로 명명되어 사용된 바 있으나, 국내에서는 아직 적용 결과가 소개되지 않고 있다. 따라서 본 연구에서는 UNCODE의 수학적 구성 절차를 소개함과 함께 북한강수계에 위치한 수력발전댐(화천댐, 춘천댐, 의암댐, 청평댐)의 년최대유입량을 사용하여 최적 설계홍수량을 산정하고 이 결과를 기존 홍수빈도분석 결과와 비교하였다. 불확실성이 고려된 총 기대비용함수로부터 확률분포함수들(Gumbel 및 GEV)의 모수를 추출하는 과정에서 Metropolis-Hastings 알고리즘을 사용하여 불확실성의 범위를 추정하였으며, 비용-편익 분석기법에 사용되는 비용 및 피해함수는 수학적 구성의 편의성을 위하여 1차 선형함수로 가정되었다. 4개의 발전용댐, 2개의 확률분포 및 2개의 재현기간에 대하여 최적 설계홍수량의 중앙값이 기존 홍수빈도분석 절차에 의해 산정된 설계홍수량보다 일정 정도 큰 값으로 산정됨을 알 수 있었다. 향후에는 본 연구에서 적용된 절차를 간단한 수식형태로 함수화하여 발전용댐 운영의 실무업무나 하천기본계획의 수립 등에 있어 비용-편익분석 기법의 적용성을 높이기 위한 연구가 진행될 필요가 있을 것으로 판단된다.

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Calculation of optimal design flood using cost-benefit analysis with uncertainty (불확실성이 고려된 비용-편익분석 기법을 도입한 최적설계홍수량 산정)

  • Kim, Sang Ug;Choi, Kwang Bae
    • Journal of Korea Water Resources Association
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    • v.55 no.6
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    • pp.405-419
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    • 2022
  • Flood frequency analysis commonly used to design the hydraulic structures to minimize flood damage includes uncertainty. Therefore, the most appropriate design flood within a uncertainty should be selected in the final stage of a hydraulic structure, but related studies were rarely carried out. The total expected cost function introduced into the flood frequency analysis is a new approach for determining the optimal design flood. This procedure has been used as UNCODE (UNcertainty COmpliant DEsign), but the application has not yet been introduced in South Korea. This study introduced the mathematical procedure of UNCODE and calculated the optimal design flood using the annual maximum inflow of hydroelectric dams located in the Bukhan River system and results were compared with that of the existing flood frequency. The parameter uncertainty was considered in the total expected cost function using the Gumbel and the GEV distribution, and the Metropolis-Hastings algorithm was used to sample the parameters. In this study, cost function and damage function were assumed to be a first-order linear function. It was found that the medians of the optimal design flood for 4 Hydroelectric dams, 2 probability distributions, and 2 return periods were calculated to be somewhat larger than the design flood by the existing flood frequency analysis. In the future, it is needed to develop the practical approximated procedure to UNCODE.

Selection of target for the minimum expected loss in plating processes (도금공정에서 최소기대손실을 위한 목표치의 설정)

  • Park, Chang-soon;Kim, Jung-Jun
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.6
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    • pp.1051-1060
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    • 2010
  • In the plating process of the IC chips for the printed circuit board manufacturing, specification limits for the plating thickness are usually given but its target is not specified in most cases. When the target is not specified, the center point of the specification limits is used instead. When the process capability is large, however, the use of the center point for the target is not the best choice in the context of the total cost. In this paper, the total cost is defined in terms of the production cost and the loss function, and then the optimal choice for target is studied in order to minimize the expected loss. As a consequence, the optimal choice of the target reduces the expected loss significantly, while reducing the process capability slightly.

Development of the Operation Cost Models for Preliminary Assessment of the Urban Railways (도시철도 예비타당성을 위한 운영비용함수 모형의 개발)

  • Lee, Jae-Myung;Won, Jai-Mu;Rho, Jeong-Hyun
    • Journal of the Korean Society for Railway
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    • v.10 no.6
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    • pp.766-771
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    • 2007
  • In this research, we were going to make the function which can forecast the operating cost of metropolitan railroad that is performing a role of assistant highway within the city. In order to do this, based on service records of subway line 1st to 8th in Seoul, we extracted 23 variables which can affect to the operating cost, and we selected the final variable for estimate the function of operating cost from correlation among variables and influence analysis. Then, we performed regression analysis by stages using final variable. 6 independent variables are chosen for presuming the operating cost, and we obtained the final 3 variables (quantity of holding motor cars, peak quantity of possessed motor cars, and quantity of stations) as a result of regression analysis. Through this research, function of operating cost of metropolitan railroad has better applicability than existing preliminary validity, and it is used by further preliminary validity investigation and master plan or validity investigation which is accompanied by operation designing, thus we expect that it could make a great contribution to the priority order of investment for metropolitan railroad or process of policy decision.

Model Structure and its Solution of Analytical Research on Transit Network Design (대중교통 노선망 설계에 관한 해석적 연구의 모형 구조와 풀이)

  • Park, Jun-Sik;Gwon, Yong-Seok
    • Journal of Korean Society of Transportation
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    • v.25 no.6
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    • pp.129-140
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    • 2007
  • The planning procedure of a transit operation consists of design, operation, and evaluation according to the research characteristics. There are some review studies on the operation and evaluation procedure, but the research on the design procedure has not yet been organized systematically. In this study, the research on transit system design was reviewed and the model structure and its solution method were arranged. The decision variables of the design procedure are network structure, line spacing or position, stop spacing, dispatching headway, and fleet size. In the analytical research on design procedure, system total cost is generally used as the objective function. System total cost is comprised of user cost, which is the sum of user access, waiting, and travel cost, and operating cost. Total cost of the transit system, used as the objective function, has the unique minimum because it is differentiable. There is a certain decision variable that makes the derivative of the objective function equal to zero and the second derivative of the objective function is positive. Therefore the decision variable that makes the first derivative of the objective function zero is the optimum that minimizes the objective function, and each of the cost components of the objective function become the same. This study is expected to help understanding about the research on the design procedure of transit operation planning and to help be a catalyst for relevant research.

Decision of optimal incentives and total order quantity with consideration of return rate of remanufacturing product (재생산 제품의 회수율을 고려한 최적 인센티브 및 총 주문량 결정)

  • Lee, Yong-Hyun;Lee, Chul-Ung
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.8
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    • pp.165-176
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    • 2011
  • In this paper, we develop the cost minimization model to select two incentives and total order quantity with consideration of remanufacture company's return incentive. Return rate is sensitive to the incentive that the manufacture company offers. Using a EOQ(Economic Order Quantity) model of a cost minimization, we show concavities of the model about two incentives and total order quantity respectively. According to the proposed algorithm using the concavities, we find out the optimized incentive prices and total order quantity. Through numerical study, we examine sensitive analysis of the incentive price and order quantity for each parameter when the return rate is sensitive to incentive. Company lessens incentive to reduce total price. However, this makes the total price increase due to a diminution of return quantity. We expect that domestic or overseas remanufacture businesses are able to decide optimal incentive and total order quantity by this research.

Development of Stochastic Decision Model for Estimation of Optimal In-depth Inspection Period of Harbor Structures (항만 구조물의 최적 정밀점검 시기 추정을 위한 추계학적 결정모형의 개발)

  • Lee, Cheol-Eung
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.28 no.2
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    • pp.63-72
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    • 2016
  • An expected-discounted cost model based on RRP(Renewal Reward Process), referred to as a stochastic decision model, has been developed to estimate the optimal period of in-depth inspection which is one of critical issues in the life-cycle maintenance management of harbor structures such as rubble-mound breakwaters. A mathematical model, which is a function of the probability distribution of the service-life, has been formulated by simultaneously adopting PIM(Periodic Inspection and Maintenance) and CBIM(Condition-Based Inspection and Maintenance) policies so as to resolve limitations of other models, also all the costs in the model associated with monitoring and repair have been discounted with time. From both an analytical solution derived in this paper under the condition in which a failure rate function is a constant and the sensitivity analyses for the variety of different distribution functions and conditions, it has been confirmed that the present solution is more versatile than the existing solution suggested in a very simplified setting. Additionally, even in that case which the probability distribution of the service-life is estimated through the stochastic process, the present model is of course also well suited to interpret the nonlinearity of deterioration process. In particular, a MCS(Monte-Carlo Simulation)-based sample path method has been used to evaluate the parameters of a damage intensity function in stochastic process. Finally, the present stochastic decision model can satisfactorily be applied to armor units of rubble mound breakwaters. The optimal periods of in-depth inspection of rubble-mound breakwaters can be determined by minimizing the expected total cost rate with respect to the behavioral feature of damage process, the level of serviceability limit, and the consequence of that structure.

Economic Analysis of Reinforced Concrete Bridges Considering Performance Evalution (성능평가를 고려한 철근콘크리트교의 경제성 분석)

  • 손용우;정영채;김종길
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.17 no.2
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    • pp.141-150
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    • 2004
  • Recently, it is really concerned about corrosion and aging of reinforced concrete bridges. Corrosional steel reinforcing in concrete affects not only safety of bridges structure but also bending strength of reinforced concrete's member. Rate of corrosion, characteristic of bending strength, and economical evaluation aren't clear in reinforced concrete, considering performance evaluation. The purpose of study is as follows. It studies about ability of resistance's strength and cost of life cycle according to reduction of steel reinforcing's corrosion. Moreover, it shows calculating formula of bending strength with corrosion of current rate and exactly evaluates about the rest life at corrosional reinforced concrete bridges.

Estimation of Optimal Modal Split Considering the Subsidy Policy - In the Case of Dual Mode Trailer (보조금 정책을 고려한 적정 수송 분담률 추정 모형 - Dual Mode Trailer(DMT) 사례를 중심으로)

  • Park, Bum-Hwan;Kim, Chung-Soo;Lee, Kang-Won
    • Journal of the Korean Society for Railway
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    • v.12 no.2
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    • pp.205-211
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    • 2009
  • There is need to reform the road-based logistic transportation system into the railway-based logistics transportation system in order to decrease the total social cost related with logistics transportation. And new transportation modes such as dual mode trailer (DMT) are under consideration, which are expected to decrease current market share of road. But, most of current studies about estimating economical efficiency are focused on developing the probabilistic choice model and then estimating the market share of each mode. We present an approach to compute the optimal market share of each mode in terms of total social cost. To do so, we suggest an optimization model capturing both user choice to maximize his utility and subsidy policy intended to minimize total social cost, simultaneously. Using this model, we present the optimal modal split of container freight.