• Title/Summary/Keyword: Optimized Method

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Soft Ground Settlement Estimation Using Neural Network (인공신경망을 이용한 연약지반 침하량 산정)

  • Roh, Jae-Ho;Won, Hyeo-Jea;Oh, Doo-Hwan;Hwang, Sun-Geun
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.1405-1410
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    • 2006
  • Purpose of this research is that offers basic data for optimized design using neural network method to calculate consolidation settlement in study area. In this research, preformed the neural network method that analyzed the settlement characteristics of soft ground nearby study area. Thus, data base established on ground properties and consolidation settlement of neighboring area. In addition, designed the optimum neural network model for prediction of settlement through network learning and consolidation settlement prediction using consolidation settlement DB and ground properties DB. Optimized neural network model decided by repeated learning for various case of hidden layers. In this study, proposed that the optimized consolidation settlement calculation method using neural network and verified which is the optimized consolidation settlement calculation method using neural network.

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Design Method for the Optimized Acoustic Matching Layers of UT Probes (비파괴 검사용 초음파 탐촉자에서의 정합층 최적 설계법)

  • Park, Chi-seung;Kim, Seon-Jin
    • Korean Journal of Materials Research
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    • v.13 no.10
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    • pp.658-662
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    • 2003
  • In this study, we have tried to find the optimized design variables of the matching layer which is important part of thickness mode ultrasonic transducer and finally reach the conclusion that the electrical property of piezo-element must be under consideration when the optimized acoustic impedance is estimated. Proper expression of the effective impedance of front load at free resonant frequency(: $Z_{f}$ $^{(0)}$ /) has been induced by introducing the principle of binomial multilayer transformer and gradient based numerical method is utilized to find the most acceptable value of $Z_{ f}$/$^{(0)}$ . Optimized point of acoustic impedance can be calculated directly from $Z_{f}$ $^{(0)}$ using some simple formula which we propose. We also verify our result by both numerical and experimental method and get a good enhancement especially it concern to the bandwidth of ultrasonic transducer.

Analysis and Optimization of the Axial Flux Permanent Magnet Synchronous Generator using an Analytical Method

  • Ikram, Junaid;Khan, Nasrullah;Junaid, Qudsia;Khaliq, Salman;Kwon, Byung-il
    • Journal of Magnetics
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    • v.22 no.2
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    • pp.257-265
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    • 2017
  • This paper presents a 2-D analytical method to calculate the back EMF of the axial flux permanent magnet synchronous generator (AFPMSG) with coreless stator and dual rotor having magnets mounted on both sides of rotor yoke. Furthermore, in order to reduce the no load voltage total harmonics distortion (VTHD), the initial model of the coreless AFPMSG is optimized by using a developed analytical method. Optimization using the 2-D analytical method reduces the optimization time to less than a minute. The back EMF obtained by using the 2-D analytical method is verified by a time stepped 3-D finite element analysis (FEA) for both the initial and optimized model. Finally, the VTHD, output torque and torque ripples of both the initial and optimized models are compared with 3D-FEA. The result shows that the optimized model reduces the VTHD and torque ripples as compared to the initial model. Furthermore, the result also shows that output torque increases as the result of the optimization.

A Study on Control Scheme of 3-Phase Active Power Filter for Harmonic Elimination and Reactive Power Compensation (고조파 제거 및 무효전력 보상을 위한 3상 전력용 능동 필터의 제어에 관한 연구)

  • Park, Min-Ho;Choe, Gyu-Ha;Choe, Jae-Young
    • Proceedings of the KIEE Conference
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    • 1989.11a
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    • pp.291-295
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    • 1989
  • The conventional Optimized Injection Method is a good control technique but can't be applied to 3-phase a.e. line. In this paper, a new technique, Time-sharing Method based on basic principle of conventional Optimized Injection Method is introduced to hold the independence of each phase, and the structure of power circuit is improved to realize the new control method. By this scheme it is possible to simplify the control circuit and power circuit. The characteristic of the new control method are investigated and compared with conventional Optimized Injection Method by computer simulation.

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An Analysis of Maintenance Cost of Preventive Optimized-Rehabilitation Area Method in Asphalt Concrete Pavement (예방적 최소단면 보수공법 적용 아스팔트 도로포장의 유지관리 비용분석)

  • Kim, Nak-Seok;Hong, Eun-Cheol
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.4
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    • pp.45-51
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    • 2009
  • The paper presents the economic analysis of optimized-rehabilitation area method considered as one of the preventive maintenance methods in asphalt concrete pavement. The optimized-rehabilitation area was selected based on the analysis of traffic lane characteristics. The main concept of the selected method was to minimize the maintenance cost. The effective width of traffic lane in this method was 70 cm of each wheel path. According to the traffic survey conducted in this research, more than 95% of vehicles passed within the width of each wheel path. The new preventive optimized-rehabilitation area method showed less maintenance cost than the conventional overlay. In addition, traffic congestions and the user cost can be reduced. The research results revealed that the total maintenance cost was reduced by 35% by using the new method compare to the conventional one.

A Study on Development of Algorithm for Predicting the Optimized Process Parameters on Bead Geometry (임의의 비드형상을 의한 최적의 공정변수 예측 알고리즘 개발에 관한 연구)

  • 김일수;차용훈;이연신;박창언;손준식
    • Journal of Welding and Joining
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    • v.17 no.4
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    • pp.39-45
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    • 1999
  • The procedure of robotic Gas metal Arc (GMA) welding in order to achieve the optimized bead geometry needs the selection of suitable process parameters such as arc current, welding voltage, welding speed. It is required the relationships between process parameters and bead geometry. The objective of this paper is to develop the algorithm that enables the determination of process parameters from the optimized bead geometry for robotic GMA welding. It depends on the inversion of empirical equations derived from multiple regression analysis of the relationships between the process parameters and the bead dimensions using the least square method. The method not only directly determines those parameters which will give the desired set of bead geometry, but also avoids the need to iterate with a succession of guesses employed Finite Element Method(FEM). These results suggest that process parameter from experimental equation for robotic GMA welding may be employed to monitor and control the bead geometry in real time.

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Topology optimization of steel plate shear walls in the moment frames

  • Bagherinejad, Mohammad Hadi;Haghollahi, Abbas
    • Steel and Composite Structures
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    • v.29 no.6
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    • pp.771-783
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    • 2018
  • In this paper, topology optimization (TO) is applied to find a new configuration for the perforated steel plate shear wall (PSPSW) based on the maximization of reaction forces as the objective function. An infill steel plate is introduced based on an experimental model for TO. The TO is conducted using the sensitivity analysis, the method of moving asymptotes and SIMP method. TO is done using a nonlinear analysis (geometry and material) considering the buckling. The final area of the optimized plate is equal to 50% of the infill plate. Three plate thicknesses and three length-to-height ratios are defined and their effects are investigated in the TO. It indicates the plate thickness has no significant impact on the optimization results. The nonlinear behavior of optimized plates under cyclic loading is studied and the strength, energy and fracture tendency of them are investigated. Also, four steel plates including infill plate, a plate with a central circle and two types of the multi-circle plate are introduced with equal plate volume for comparing with the results of the optimized plate.

Optimal Design of Permanent Magnet Actuator Using Parallel Genetic Algorithm (병렬유전 알고리즘을 이용한 영구자석형 액추에이터의 최적설계)

  • Kim, Joong-Kyoung;Lee, Cheol-Gyun;Kim, Han-Kyun;Hahn, Sung-Chin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.1
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    • pp.40-45
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    • 2008
  • This paper presents an optimal design of a permanent magnet actuator(PMA) using a parallel genetic algorithm. Dynamic characteristics of permanent magnet actuator model are analyzed by coupled electromagnetic-mechanical finite element method. Dynamic characteristics of PMA such as holding force, operating time, and peak current are obtained by no load test and compared with the analyzed results by coupled finite element method. The permanent magnet actuator model is optimized using a parallel genetic algorithm. Some design parameters of vertical length of permanent magnet, horizontal length of plunger, and depth of permanent magnet actuator are predefined for an optimal design of permanent magnet actuator model. Furthermore dynamic characteristics of the optimized permanent magnet actuator model are analyzed by coupled finite element method. A displacement of plunger, flowing current of the coil, force of plunger, and velocity of plunger of the optimized permanent magnet actuator model are compared with the results of a primary permanent magnet actuator model.

Optimization of Boss Shape for Damage Reduction of the Press-fitted Shaft End (압입축 끝단의 손상저감을 위한 보스부 형상 최적설계)

  • Byon, Sung-Kwang
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.14 no.3
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    • pp.85-91
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    • 2015
  • The press-fit shaft is an important part used in automobiles, vessels, and trains. This study proposes an optimized design method to reduce damage that may occur in the press-fitted shaft by modifying the shape of the boss step of the press-fitted shaft. To reduce the time and cost of running the optimized design method, an approximate design optimization is applied and an optimized algorithm is generated using a genetic algorithm that is widely used in engineering fields and an approximate model using a response surface method. The planned experiments for the data that are needed to generate the approximate model use a central composite design (CCD) and Latin hypercube sampling (LHS), and the results of the approximate optimization using the above two design of experiments are to be compared.

AERODYNAMIC DESIGN OPTIMIZATION OF ROTOR BLADE OA AIRFOILS (로터 블레이드 OA 익형의 공력 최적 설계)

  • Sa, J.H.;Park, S.H.;Kim, C.J.;Yun, C.Y.;Kim, S.H.;Kim, S.;Yu, Y.H.
    • Journal of computational fluids engineering
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    • v.14 no.2
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    • pp.25-31
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    • 2009
  • Numerical optimization of rotor blade airfoils is performed with a response surface method for helicopter rotor. For the baseline airfoils, OA 312, OA 309, and OA 407 airfoils are selected and optimized to improve aerodynamic performance. Aerodynamic coefficients required for the response surface method are obtained by using Navier-Stokes solver with k-$\omega$ Shear Stress Transport turbulence model. An optimized airfoil has increased drag divergence Mach number. The present design optimization method can generate an optimized airfoil with multiple design constraints, whenever it is designed from different baseline airfoils at the same design condition.