• Title/Summary/Keyword: Optimal performance design

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Robust seismic retrofit design framework for asymmetric soft-first story structures considering uncertainties

  • Assefa Jonathan Dereje;Jinkoo Kim
    • Structural Engineering and Mechanics
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    • v.86 no.2
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    • pp.249-260
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    • 2023
  • The uncertainties involved in structural performances are of importance when the optimum number and property of seismic retrofit devices are determined. This paper proposes a seismic retrofit design framework for asymmetric soft-first-story buildings, considering uncertainties in the soil condition and seismic retrofit device. The effect of the uncertain parameters on the structural performance is used to find a robust and optimal seismic retrofit solution. The framework finds a robust and optimal seismic retrofit solution by finding the optimal locations and mechanical properties of the seismic retrofit device for different realizations of the uncertain parameters. The structural performance for each realization is computed to evaluate the effect of the uncertainty parameters on the seismic performance. The framework utilizes parallel processing to decrease the computationally intensive nonlinear dynamic analysis time. The framework returns a robust design solution that satisfies the given limit state for every realization of the uncertain parameters. The proposed framework is applied to the seismic retrofit design of a five-story asymmetric soft-first-story case study structure retrofitted with a viscoelastic damper. Robust optimal parameters for retrofitting a structure to satisfy the limit state for the different realizations of the uncertain parameter are found using the proposed framework. According to the performance evaluation results of the retrofitted structure, the developed framework is proved effective in the seismic retrofit of the asymmetric structure with inherent uncertainties.

Optimal Design of Guide Vane for Improvement of Heat Removal Performance of Electric Vehicles Battery Using Genetic Algorithm (유전 알고리즘을 활용한 전기 자동차 배터리 방열성능 향상을 위한 가이드 베인 최적설계)

  • Song, Ji-Hun;Kim, Youn-Jea
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.1
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    • pp.55-61
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    • 2022
  • Along with global environmental issues, the size of the electric vehicle market has recently skyrocketed. Various efforts have been made to extend mileage, one of the biggest problems of the electric vehicles, and development of batteries with high energy densities has led to exponential growth in mileage and performance. However, proper thermal management is essential because these high-performance batteries are affected by continuous heat generation and can cause fires due to thermal runaway phenomena. Therefore, thermal management of the battery is studied through the optimal design of the guide vanes, while utilizing the existing battery casing to ensure the safety of the electric vehicles. A battery from T-company, one of a manufacturer of the electric vehicles, was used for the research, and the commercial CFD software, ANSYS CFX V20.2, was used for analysis. The guide vanes were derived through optimal design based on a genetic algorithm with flow analysis. The optimized guide vanes show improved heat removal performance.

Noise Reduction of Muffler by Optimal Design

  • Oh, Jae-Eung;Cha, Kyung-Joon
    • Journal of Mechanical Science and Technology
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    • v.14 no.9
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    • pp.947-955
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    • 2000
  • This paper proposes an optimal design scheme to improve the muffler's capacity of noise reduction of the exhaust system by combining the Taguchi method and a fractional factorial design. As a measuring tool for the performance of a muffler, the performance prediction software which is developed by Oh, Lee and Lee (1996) is used. In the first stage of a design, the length and radius of each component of the current muffler system are selected as control factors. Then, the $L_{18}$ table of orthogonal arrays is adopted to extract the effective main factors. In the second stage, the fractional factorial design is adopted to take interactions into consideration, which the $L_{18}$ table of orthogonal arrays can not consider. For an optimal design, the $L_{27}$ table of orthogonal arrays with main and interaction effects is proposed and the noise factors such as temperature, background noise and humidity are analyzed for more efficient design simultaneously.

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Optimal Design of the Monolithic Flexure Mount for Optical Mirror Using Response Surface Method (반응표면법을 이용한 광학미러용 일체형 유연힌지 마운트 최적설계)

  • Kyoungho Lee;Byounguk Nam;Sungsik Nam
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.3
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    • pp.205-213
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    • 2023
  • An optimal design of a simple beam-shaped flexure hinge mount supporting an optical mirror is presented. An optical mirror assembly is an opto-mechanically coupled system as the optical and mechanical behaviors interact. This side-supporting mount is flexible in the radial direction and rigid for the remaining degrees of freedom to support the mirror without transferring thermal load. Through thermo-elastic, optical and eigenvalue analysis, opto-mechanical performance was predicted to establish the objective functions for optimization. The key design parameters for this flexure are the thickness and length. To find the optimal values of design parameters, response surface analysis was performed using the design of experiment based on nested FCD. Optimal design candidates were derived from the response surface analysis, and the optimal design shape was confirmed through Opto-mechanical performance validation analysis.

A design on optimal PD control system that has the robust performance (강인한 성능을 가지는 최적 PD 제어 시스템 설계)

  • Kim, Dong-Wan;Hwang, Hyeon-Jun
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.6
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    • pp.656-666
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    • 1999
  • In this paper, we design the optimal PD control system which has the robust performance. This PD control system is designed by applying genetic algorithm (GA) to the determination of proportional gain KP and derivative gain KD that are given by PD servo controller, to make the output of plant follow the output of reference model optimally. These proportional and derivatibe gains are simultaneously optimized in the search domain guaranteeing the robust performance of system. And, this PD control system is compared with $\mu$ -synthesis control system for the robust performance. The PD control system designed by the proposed method has not only the robust performance but also the better command tracking performance than that of the $\mu$ -synthesis control system. The effectiveness of this control system is verified by computer simulation.

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Optimal Design of Curved Actuator through High Performance Computing (고성능 컴퓨팅을 이용한 곡면형 작동기의 최적 설계)

  • 정순완;김승조
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2003.04a
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    • pp.87-90
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    • 2003
  • In this paper, the electromechanical displacements of curved actuators such as THUNDER are calculated by finite element method to design the optimal configuration of curved actuators. To predict the pre-stress in the device due to the mismatch in coefficients of thermal expansion, the adhesive as well as metal and PZT ceramic is also numerically modeled by using hexahedral solid elements. Because the modeling of these thin layers causes the numbers of degree of freedom to increase, large-scale structural analyses are performed in a cluster system in this study. The curved shape and pre-stress in the actuator are obtained by the cured curvature analysis. The displacement under the piezoelectric force by an applied voltage is also calculated to compare the performance of curved actuator. The thickness of metal and adhesive, the number of metal layer are chosen as design factors.

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A Study on the Optimal Design of JIT Kanban System under Uncertain Environment (불확실한 환경하에서의 JIT 간판 시스템 최적설계에 관한 연구)

  • 김용범;김우열
    • Journal of the military operations research society of Korea
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    • v.24 no.1
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    • pp.176-188
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    • 1998
  • In this paper, it is identified that the optimal level of each performance measures (service and inventory level) is not sensitive to an uncertain environment under JIT Kanban system designed by Moeeni. Moreover, it is proposed that the optimal design method considering multiple performance characteristics is the optimal level decision method according to the relative importance differences of each performance when there exist multiple performance characteristics. The result from the simulation analysis shows that the number of Kanban for stage 3 (final process) and stage 2 is increased at the service level. It is found that the expected loss is minimal when the cycle time decreases and the container size increases. However, the stage 1 is not affected by the number and cycle time of Kanban. It is thus important to consider carefully the cycle time and the container size of the Kanban to satisfy the demand in right time. In case of inventory level, the working inventory level decreases when the container size is decreased and the working inventory level also decreases slightly when the cycle time of the Kankban is increased in stage 1 and 2.

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Parameter Optimization of SOVA for the 3GPP complied Turbo code (3GPP 규격의 터보 복호기구현을 위한 SOVA 파라미터 최적화)

  • 김주민;고태환;정덕진
    • Proceedings of the IEEK Conference
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    • 2000.11a
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    • pp.157-160
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    • 2000
  • In order to design a low complexity and high performance SOVA decoder for Turbo Codes, we need to analyze the decoding performance with respect to several important design parameters and find out optimal values for them. Thus, we use a scaling factor of soft output and a update depth as the parameters and analyze their effect on the BER performance of the SOVA decoder. finally, we shows the optimal values of them for maximum decoding performance of SOVA decoder for 3GPP complied Turbo codes.

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Kinematic optimal design and analysis of kinematic/dynamic performances of a 3 degree-of-freedom excavator subsystem (3 자유도 굴착기 부속 시스템의 기구학적 최적 설계와 기구학/동력학 성능 해석)

  • Kim, Whee-Kuk;Han, Dong-Young;Yi, Byung-Ju
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.4
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    • pp.422-434
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    • 1997
  • In this paper, a two-stage kinematic optimal design for a 3 degree of-freedom (DOF) excavator subsystem, which consists of boom, arm and bucket, is performed. The objective of the first stage is to find the optimal parameters of the joint-actuating mechanisms which maximize the force-torque transmission ratio between the hydraulic actuator and the rotating joint. The objective of the second stage is to find the optimal link parameters which maximize the isotropic characteristic of the excavator subsystem throughout the workspace. It is illustrated that kinematic/dynamic performances of the kinematically optimized excavator subsystem have improved compared to those of original HE280 excavator, with respect to three performance indices such as maximum load handling capacity, maximum velocity capability, and acceleration capability.

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Kinematic Optimal Design of Excavator with Performance Analysis (굴삭기의 기구학적 최적설계와 성능해석)

  • 한동영;김희국;이병주
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.617-622
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    • 1994
  • In this paper, we perform a two-stage, kinematic optimal design for 3 degree-of-freedom excavator system which consists of boom, arm, and bucket. The objective of the first stage is to find the optimal joint parameters which maximize the force-torque transmission ratio between the hydraulic actuator and the rotating joint. The objective of the first stage is to find the optimal link parameters which maximize the isotropic characteristic throughout the workspace. It is illustrated that performances of the optimized excavator are improved compared to those of HE280 excavator, with respect to the described performace index and maximum load handling capacity.

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