• Title/Summary/Keyword: Optimal Design Alternative

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Development of VR Simulation Algorithm and System for Supporting Optimal Road Design Information (가상 시뮬레이션에 의한 도로설계정보 최적화 방법론 및 지원체계 개발)

  • Moon, Hyoun-Seok;Kang, Leen-Seok
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.4
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    • pp.101-110
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    • 2009
  • The current virtual reality(VR) simulation functions in construction project are focused on the construction phase. This study attempts to extend the application of VR functions to the design phase. This study suggests various VR functions such as earthwork simulation by road alignment, alternative route selection simulation, structure type selection simulation and underground structure visualization simulation. These functions can visualize road route and earthwork condition and select an optimal design route by simulating virtual placement of alternative route. This study configures systematic methodology for suggested VR simulation functions and develops VR system by the functions. Finally this study suggests an improved design process of road construction project by using the developed VR functions

Reliability-Optimal Design Method of High-Speed Railway Bridges Based upon Expected Life-Cycle Cost (기대생애주기비용에 기초한 고속철도교량의 신뢰성-최적설계 방안)

  • Lee, Woo-Sang;Bang, Myung-Seok;Han, Sung-Ho;Lee, Chin-Ok
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.4
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    • pp.102-110
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    • 2010
  • The reliability evaluation may be a efficient method for estimating of the quantitative structural safety considering the effect of uncertainties included in high-speed railway bridges. The expected life-cycle cost(LCC) based upon the reliability evaluation will reasonably offer the safety level and design criteria of high-speed railway bridges. Therefore, this study determined the expected life-cycle cost and optimal design method of high-speed railway bridges on the basis of the result of the numerical analysis and reliability evaluation. For this, after creating various design method based upon the standard design of high-speed railway bridges, the numerical analysis is conducted on each of the alternative design methods. The reliability evaluation by the design strength limit state function is conducted considering the effect of external uncertainties on the basis of the numerical analysis result. The expected life-cycle cost of high-speed railway bridges is calculated on the basis of the reliability evaluation result by each of the alternative design methods. Also, the optimal design method is determined using the calculated expected life-cycle cost. In addition, The result of reliability evaluation and expected life-cycle cost of optimal design method are examined considering the effect of internal uncertainties. It is expected that the result of this study can be used as a basic information for the systematic safety evaluation and optimal structure design of high-speed railway bridges.

Performance Simulation for the Optimal Design of Automotive Air-Conditioning System (자동차용 냉방시스템의 최적설계를 위한 성능시뮬레이션)

  • 김제봉;신기열;김수연;정평석
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.12 no.6
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    • pp.570-580
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    • 2000
  • The performance simulation of refrigeration system for the automotive vehicles was peformed, in which the refrigerant was HFC-l34a as an alternative to CFC-12. The coefficient of performance of the system for HFC-l34a was lower than that for CFC-12 operated in the same operating and design conditions. The optimal design conditions were obtained as a function of optimum capacity ratios of condenser and evaporator.

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Optimization of RC polygonal cross-sections under compression and biaxial bending with QPSO

  • de Oliveira, Lucas C.;de Almeida, Felipe S.;Gomes, Herbert M.
    • Computers and Concrete
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    • v.30 no.2
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    • pp.127-141
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    • 2022
  • In this paper, a numerical procedure is proposed for achieving the minimum cost design of reinforced concrete polygonal column cross-sections under compression and biaxial bending. A methodology is developed to integrate the metaheuristic algorithm Quantum Particle Swarm Optimization (QPSO) with an algorithm for the evaluation of the strength of reinforced concrete cross-sections under combined axial load and biaxial bending, according to the design criteria of Brazilian Standard ABNT NBR 6118:2014. The objective function formulation takes into account the costs of concrete, reinforcement, and formwork. The cross-section dimensions, the number and diameter of rebar and the concrete strength are taken as discrete design variables. This methodology is applied to polygonal cross-sections, such as rectangular sections, rectangular hollow sections, and L-shaped cross-sections. To evaluate the efficiency of the methodology, the optimal solutions obtained were compared to results reported by other authors using conventional methods or alternative optimization techniques. An additional study investigates the effect on final costs for an alternative parametrization of rebar positioning on the cross-section. The proposed optimization method proved to be efficient in the search for optimal solutions, presenting consistent results that confirm the importance of using optimization techniques in the design of reinforced concrete structures.

Generalized One-Level Rotation Designs with Finite Rotation Groups Part II : Variance Formulas of Estimators

  • Kim, Kee-Whan;Park, You-Sung
    • Journal of the Korean Statistical Society
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    • v.29 no.1
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    • pp.45-62
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    • 2000
  • Rotation design is a sampling technique to reduce response burden and to estimate the population characteristics varying in time. Park and Kim(1999) discussed a generation of one-level rotation design which is called as {{{{r_1^m ~-r_2^m-1}}}} design has more applicable form than existing before. In the structure of {{{{r_1^m ~-r_2^m-1}}}} design, we derive the exact variances of generalized composite estimators for level, change and aggregate level characteristics of interest, and optimal coefficients minimizing their variances. Finally numerical examples are shown by the efficiency of alternative designs relative to widely used 4-8-4 rotation design. This is continuous work of Part Ⅰ studied by Park and Kim(1999).

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A Genetic Algorithm based an Optimal Design Methodology for a Lever Sub-Assembly of an Auto Lever (오토 레버의 기구부 최적 설계 방안 제시를 위한 유전 알고리듬 적용 연구)

  • Jung, Hyun-Hyo;Seo, Kwang-Kyu;Park, Ji-Hyung;Lee, Soo-Hong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.2
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    • pp.285-293
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    • 2003
  • This paper explores an optimal design methodology for an auto lever using a genetic algorithm. Components of the auto lever have been designed sequentially in the industry, but this study presents a novel design method to determine the design parameters of components simultaneously. The genetic algorithm approach is described to decide a set of design parameters for auto lever. The authors have attempted to model the design problem with the objective of minimizing the angle variation of detent spring subject to constraints such as modulus of elasticity of steel, geometry of shift pipe, and stiffness of spring. This method gives the promising design alternative.

Optimal Selection of Energy System Design Using Fuzzy Framework (모호집합론을 사용한 에너지계통 설계의 최적선택)

  • 김성호;문주현
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1998.10a
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    • pp.3-8
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    • 1998
  • The present work proposes the potential fuzzy framework, based on fuzzy set theory, for supporting decision-making problems, especially, selection problems of a best design in the area of nuclear energy system. The framework proposed is composed of the hierarchical structure module, the assignment module, the fuzzification module, and the defuzzification module. In the structure module, the relationship among decision objectives, decision criteria, decision sub-criteria, and decision alternatives is hierarchically structured. In the assignment module, linguistic or rank scoring approach can be used to assign subjective and/or vague values to the decision analyst's judgment on decision variables. In the fuzzification module, fuzzy numbers are assigned to these values of decision variables. Using fuzzy arithmetic operations, for each alternative, fuzzy preference index as a fuzzy synthesis measure is obtained. In the defuzzification module, using one of methods ranking fuzzy numbers, these indices are defuzzified to overall utility values as a cardinality measure determining final scores. According these values, alternatives of interest are ranked and an optimal alternative is chosen. To illustrate the applicability of the framework proposed to selection problem, as a case example, the best option choice of four design options under five decision criteria for primary containment wall thickening around large penetrations in an advanced nuclear energy system is studied.

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Genetic Algorithm based Optimal Design Methodology For Lever Sub-Assembly of Auto (오토 레버의 기구부 최적 설계 방안 제시를 위한 유전 알고리즘 적용 연구)

  • 정현호;서광규;박지형;이수홍
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.133-136
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    • 1997
  • This paper explores the optimal design methodology for auto lever using a genetic algorithm. Component of auto lever has been designed sequentially in the industry, but this study presents the novel design method to consider the design parameters of components simultaneously. The genetic algorithm approach is described to determine a set of design parameters for auto lever. The authors have attempted to model the design problem with the objective of minimizing the angle variation of detent spring subject to constraints such as modulus of elasticity of steel, geometry of shift pipe, and stiffness of spring. This method can give the better alternative.

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Optimal Design of Deep-Sea Pressure Hulls using CAE tools (CAE 기법을 활용한 심해 내압구조물의 최적설계에 관한 연구)

  • Jeong, Han Koo;Henry, Panganiban
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.6
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    • pp.477-485
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    • 2012
  • Geometric configurations such as hull shape, wall thickness, stiffener layout, and type of construction materials are the key factors influencing the structural performance of pressure hulls. Traditional theoretical approach provides quick and acceptable solutions for the design of pressure hulls within specific geometric configuration and material. In this paper, alternative approaches that can be used to obtain optimal geometric shape, wall thickness, construction material configuration and stiffener layout of a pressure hull are presented. CAE(Computer Aided Engineering) based design optimization tools are utilized in order to obtain the required structural responses and optimal design parameters. Optimal elliptical meridional profile is determined for a cylindrical pressure hull design using metamodel-based optimization technique implemented in a fully-integrated parametric modeler-CAE platform in ANSYS. While the optimal composite laminate layup and the design of ring stiffener for a thin-walled pressure hull are obtained using gradient-based optimization method in OptiStruct. It is noted that the proposed alternative approaches are potentially effective for pressure hull design.