• 제목/요약/키워드: near optimal parameters

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이동하중이 작용하는 3경간 연속보의 근사 최적제원 (Near-Optimal Parameters of Three Span Continuous Beams subjected to a Moving Load)

  • 이병규;오상진;모정만
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1997년도 봄 학술발표회 논문집
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    • pp.139-146
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    • 1997
  • The main purpose of this paper is to investigate the near-optimal parameters of continuous beam subject to a moving load. The computer-aided optimization technique is used to obtain the near-optimal parameters. The computer program is developed to obtain the natural frequency parameters and the forced vibration responses to a transit point load for the continuous beam with variable support spacing, mass and stiffness. The optimization function to describe the design efficiency is defined as a linear combination of four dimensionless span characteristics: the maximum dynamic stress; the stress difference between span segments; the rms deflection under the transit point load; and the total span mass. Studies of three span beams show that the beam with near-optimal parameters can improve design efficiency by 12 to 24 percent when compared to a reference configuration beams of the same total span length.

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열원 및 공조설비 통합 최적제어기법 구현에 관한 연구 (Real Time Near Optimal Control Application Strategy for Heat Source and HVAC System)

  • 송재엽;안병천;주영덕;김진
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.60-65
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    • 2008
  • The near-optimal control algorithm for central cooling and heating system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor load and outdoor temperatures. The optimal set-points of control parameters with near-optimal control are supply air and chilled or hot water temperatures. The near optimal control algorithm has been implemented by using LabVIEW program in order to analyze energy performance for central cooling and heating control system.

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중앙냉방시스템의 실시간 준최적제어 적용에 따른 실험적 연구 (Real Time Near Optimal Control Application Strategy of Central Cooling System)

  • 안병천;송재엽;주영덕;김진
    • 설비공학논문집
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    • 제20권7호
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    • pp.470-477
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    • 2008
  • The near-optimal control algorithm for central cooling system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor cooling load and outdoor temperatures. The optimal set-points of control parameters with near-optimal control are supply air and chilled water temperatures. The near optimal control algorithm has been implemented by using LabVIEW program in order to analyze energy performance for central cooling control system.

Determination of optimal Conditions for a Gas Metal Arc Wending Process Using the Genetic Algorithm

  • Kim, D.;Rhee, S.
    • International Journal of Korean Welding Society
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    • 제1권1호
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    • pp.44-50
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    • 2001
  • A genetic algorithm was applied to the arc welding process as to determine the near-optimal settings of welding process parameters that produce the good weld quality. This method searches for optimal settings of welding parameters through the systematic experiments without the need for a model between the input and output variables. It has an advantage of being capable to find the optimal conditions with a fewer number of experiments rather than conventional full factorial designs. A genetic algorithm was applied to the optimization of the weld bead geometry. In the optimization problem, the input variables were wire feed rate, welding voltage, and welding speed. The output variables were the bead height bead width, and penetration. The number of levels for each input variable is 16, 16, and 8, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions,2048 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions in less than 40 experiments.

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유전 알고리즘을 이용한 V그루브 아크 용접 공정변수 최적화 (Optimization of V-groove Arc Welding Process Using Genetic Algorithm)

  • 안홍락;이세헌;안승호;강문진
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2003년도 춘계학술발표대회 개요집
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    • pp.172-175
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    • 2003
  • A genetic algorithm was applied to an arc welding process to determine near optimal settings of welding process parameters which produce good weld quality. It has an advantage of being able to find optimal conditions with a fewer number of experiments than conventional full factorial design. According to the conventional full factorial design, in order to find the optimal welding conditions, 16,384 experiments must be performed. The genetic algorithm however, found the near optimal welding conditions from less than 60 experiments.

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A V­Groove $CO_2$ Gas Metal Arc Welding Process with Root Face Height Using Genetic Algorithm

  • Ahn, S.;Rhee, S.
    • International Journal of Korean Welding Society
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    • 제3권2호
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    • pp.15-23
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    • 2003
  • A genetic algorithm was applied to an arc welding process to determine near optimal settings of welding process parameters which produce good weld quality. This method searches for optimal settings of welding parameters through systematic experiments without a model between input and output variables. It has an advantage of being able to find optimal conditions with a fewer number of experiments than conventional full factorial design. A genetic algorithm was applied to optimization of weld bead geometry. In the optimization problem, the input variables were wire feed rate, welding voltage, and welding speed, root opening and the output variables were bead height, bead width, penetration and back bead width. The number of level for each input variable is 8, 16, 8 and 3, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions, 3,072 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions from less than 48 experiments.

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유전 알고리즘을 이용한 가스 메탈 아크 용접 공정의 최적 조건 설정에 관한 연구 (Determination on Optima Condition for a Gas Metal Arc Welding Process Using Genetic Algorithm)

  • 김동철;이세헌
    • Journal of Welding and Joining
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    • 제18권5호
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    • pp.63-69
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    • 2000
  • A genetic algorithm was applied to an arc welding process to determine near optimal settings of welding process parameters which produce good weld quality. This method searches for optimal settings of welding parameters through systematic experiments without a model between input and output variables. It has an advantage of being able to find optimal conditions with a fewer number of experiments than conventional full factorial design. A genetic algorithm was applied to optimization of weld bead geometry. In the optimization problem, the input variables was wire feed rate, welding voltage, and welding speed and the output variables were bead height, bead width, and penetration. The number of level for each input variable is 16, 16, and 8, respectively. Therefore, according to the conventional full factorial design, in order to find the optimal welding conditions, 2048 experiments must be performed. The genetic algorithm, however, found the near optimal welding conditions from less than 40 experiments.

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인버터 DC 저항점용접 공정에서 CRS 알고리즘을 이용한 정전류 퍼지 제어시스템 설계에 관한 연구 (Study of the Constant Current Fuzzy Control System Design using CRS Algorithm during Inverter DC Resistance Spot Welding Process)

  • 박형진;박평원;유지영;김동철;강문진;이세헌
    • Journal of Welding and Joining
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    • 제28권6호
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    • pp.76-83
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    • 2010
  • The purpose of this study is to propose a method to decide near-optimal settings of the constant current fuzzy control parameters using a controlled random search. This method tries to find the near-optimal settings of the constant current fuzzy control parameters through experiments. It has an advantage of being able to carry out searches in the search domain which includes some irregular points. The method suggested in this study was used to determine the fuzzy control parameters by which the desired welding current were formed during inverter DC resistance spot welding. The output variable was the ITAE (integral of time multiplied by the absolute error). This output variable was determined according to the input variables, which are the GE, GDE, and GDU. This study described how to obtained near-optimal welding current condition over a wide search space conducting a relatively small number of experiments.

중앙냉방시스템의 준최적 설정점제어기법 구현에 관한 연구 (An Implementation for Near-Optimal Set Point Control for Central Cooling Systems)

  • 백승재;송재엽;안병천;주영덕;김진
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2007년도 동계학술발표대회 논문집
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    • pp.46-51
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    • 2007
  • The near-optimal control algorithm for central cooling system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor cooling load and outdoor temperatures. The optimal set-points of control parameters with near-optimal control are supply air temperature and chilled water temperature. This study has been done by using LapVIEW program with PID control in order to analyze the central cooling system energy saving.

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연속보의 동적 최적설계에 관한 연구 (Dynamic Optimal Design of Continuous Beams)

  • 이병구;오상진;모정만
    • 전산구조공학
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    • 제10권2호
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    • pp.233-242
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    • 1997
  • 이 논문은 연속보의 동적 최적설계에 관한 연구이다. 본 연구에서는 연속보의 근사적인 최적제원을 결정하기 위하여 컴퓨터 프로그램의 실행결과를 이용한 기법을 이용하였다. 경간길이, 질량 및 휨강성이 변화하는 연속보의 자유진동해석과 이동 집중하중이 작용하는 경우 동적응답해석을 실행할 수 있는 컴퓨터 프로그램을 개발하였다. 모형실험 결과와 이론적인 해석결과가 잘 일치하여 해석결과의 타당성을 검증할 수 있었다. 설계효율을 나타내기 위하여 최대 동적응력, 경간사이의 응력차이, 이동 집중하중이 작용하는 점에서의 rms 처짐 및 전체지간의 총질량 등 4가지의 무차원 변수들의 선형결합으로 이루어지는 최적함수를 정의하였다. 3경간 연속보에 대한 해석결과 개략적인 최적제원을 갖는 연속보로 설계하는 경우 등간격의 등단면 연속보에 비해 설계효율을 개선할 수 있음을 알 수 있었다.

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