• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1999년도 가을 학술발표회 논문집
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• pp.127-134
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• 1999

An optimization algorithm based on Genetic Algorithm(GA) is developed for discrete optimization of reinforced concrete plane frame by constructing databases. Under multiple loading conditions, discrete optimum sets of reinforcements for both negative and positive moments in beams, their dimensions, column reinforcement, and their column dimensions are found. Construction practice is also implemented by linking columns and beams by group ‘Connectivity’between columns located in the same column line is also considered. It is shown that the developed genetic algorithm was able to reach optimum design for reinforced concrete plane frame construction practice.

• Steel and Composite Structures
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• 제30권3호
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• pp.293-304
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• 2019

The optimum cost of a reinforced concrete plane and space frames have been found by using the Genetic Algorithm (GA) method. The design procedure is subjected to many constraints controlling the designed sections (beams and columns) based on the standard specifications of the American Concrete Institute ACI Code 2011. The design variables have contained the dimensions of designed sections, reinforced steel and topology through the section. It is obtained from a predetermined database containing all the single reinforced design sections for beam and columns subjected to axial load, uniaxial or biaxial moments. The designed optimum beam sections by using GAs have been unified through MATLAB to satisfy axial, flexural, shear and torsion requirements based on the designed code. The frames' functional cost has contained the cost of concrete and reinforcement of steel in addition to the cost of the frames' formwork. The results have found that limiting the dimensions of the frame's beams with the frame's columns have increased the optimum cost of the structure by 2%, declining the re-analysis of the optimum designed structures through GA.

• Composites Research
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• 제17권2호
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• pp.1-8
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• 2004

본 논문은 겹판 스프링의 정적 스프링 상수를 가지고 복합재료 데이퍼 스프링을 최적설계 하였다. 두께와 폭을 설계변수로 실정하였다. 회귀모형의 목적함수는 상용 해석 프로그램을 통해 얻었다. 회귀모형의 함수를 가지고 회귀계수를 계산한 후, DOT를 이용하여 최적해를 구하였다. 설계에 이용된 복합재료로는 E-glass/epoxy와 carbon/epoxy를 선정하였고 겹판 스프링과 비교 해석하였다. 그 결과 정적 스프링 상수는 최적화된 복합재료 스프링들과 겹판 스프링이 1％내로 일치함을 보였다.

• 한국지반공학회지:지반
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• 제10권4호
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• pp.133-152
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• 1994

In the present study, an economic design of Anchored Geosynthetic(AG) System applied mainly to reinforce unstable soil slopes is investigated. For this purpose methods of stability analysis are developed to determine the optimum installation angle, required minimum length and maximum spacing of nails. Anchorage of nails within the soil mass is achieved by frictional resistance to pull out along the effective length of the nails. Cases of infinite slope and finite slope are dealt with individually. Silce methods of stability analysis developed in the present study are limit-equilibrium-based. For the case of finite slope Spencer method which considers interslice force is modified to evalyate the overall stability. In addition, the effects of various design parameters on requried length and spacing of nails corresponding to the optimum orientation of nails are analyzed. Based on the analysis, a simplified equation is given for the optimum nail orientation. Also the importance of optimum nail orientation is illustrated throughout design example, and the appropriateness of judgment criterion are examined.

• Computers and Concrete
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• 제13권4호
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• pp.547-567
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• 2014

Precast Seismic Structural Systems (PRESSS) provided an iterative procedure for obtaining optimum design of unbonded post-tensioned coupled precast concrete wall systems. Although PRESSS procedure is effective, however, it is lengthy and laborious. The purpose of this research is to employ Artificial Neural Network (ANN) to predict the optimum design parameters for such wall systems while avoiding the demanding iterative process. The developed ANN model is very accurate in predicting the nondimensional optimum design parameters related to post-tensioning reinforcement area, yield force of shear connectors and ratio of moment resisted by shear connectors to the design moment. The Mean Absolute Percent Error (MAPE) for the test data for these design parameters is around %1 and the correlation coefficient is almost equal to 1.0. The developed ANN model is then used to study the effect of different design parameters on wall behavior. It is observed that the design moment and the concrete strength have the most influence on the wall behavior as compared to other parameters. Several design examples were presented to demonstrate the accuracy and effectiveness of the ANN model.

• 조명전기설비학회논문지
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• 제25권1호
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• pp.107-112
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• 2011

In this paper, the optimum design of the glass net shape was studied to minimize the electric field of mold transformer. The glass net is used for reinforcement in structure between coils and epoxy, but it can cause to increase the electric field and the partial discharge. Therefore, the optimum design of glass net is required to minimize the electric field. In this paper, the objective function was approximated by using response surface method and then Zoom-in method was used for optimal design to minimize the electric field. The electric field was analysed using finite element method for each shape of glass nets.

• Geomechanics and Engineering
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• 제28권2호
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• pp.145-155
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• 2022

Safety is a most important parameters in underground railway transportation; Also stability of underground tunnel is very important in tunneling engineering. Design of a reliable support system requires an evaluation of both ground demand and support capacity. Iran's traditional railway tunnels are mainly supported with masonry structures or unsupported in high quality rock masses. A decrease in rock mass quality due to changes in groundwater regime creep and fatigue in rock and similar phenomena causes tunnel safety to decrease during time. The case study is an old tunnel in Iran, called "Keshvar"; it is more than 50 years old railway organization. In operating this Tunnel, until the several problems came up based on stability and leaking water. The goal of study is evaluation of the various reinforcement systems for supporting of the tunnel. The optimal selection of the reinforcement system is examined using TOPSIS Fuzzy method in light of the looming and available uncertainties. Several factors such as; the tunnel span, maintenance, drainage, sealing, ventilation, cost and safety were based to choose the method and system of designing. Therefore, by identifying these parameters, an optimal reinforcement system was selected and introduced. Based on optimization system for analysis, it is revealed that the systematic rock bolts and shotcrete protection had a most appropriate result for these kind of tunnel in Iran.

• 한국지반공학회논문집
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• 제19권2호
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• pp.217-225
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• 2003

지반보강 그라우팅은 대상지반의 공학적 특성 및 사용 목적에 따라 주입재 종류, 주입압력, 주입량 등을 적절히 선택해야 효율적이고 경제성 있는 시공이 될 수 있다. 특히, 압력 그라우팅 공법을 견고한 암반층이 아닌 일반 토사층에 적용시 압력이 높은 경우 수압파쇄에 의한 주입재 이탈 등의 문제가 발생하기 쉬우므로 현장조건에 알맞는 주입압력을 미리 설정하는 것이 필요하다. 이 연구는 느슨 내지 중밀 정도의 쇄석과 모래를 이용한 실험실 모형시험을 통하여 적정 주입압과 주입방법을 밝히기 위해 수행되었다. 최적 주입압, 주입량 그리고 주입시간을 조사하기 위해 실험과정에서 주입조건을 변화시켰다. 시험결과로부터 쇄석 및 모래지반에서 압력그라우팅의 최적 주입압은3~4kg/$cm^2$ 임을 알 수 있었다.

• Steel and Composite Structures
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• 제15권4호
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• pp.451-466
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• 2013

This paper deals with the multi-objective optimization of tire reinforcement structures such as the tread belt and the carcass path. The multi-objective functions are defined in terms of the discrete-type design variables and approximated by artificial neutral network, and the sensitivity analyses of these functions are replaced with the iterative genetic evolution. The multi-objective optimization algorithm introduced in this paper is not only highly CPU-time-efficient but it can also be applicable to other multi-objective optimization problems in which the objective function, the design variables and the constraints are not continuous but discrete. Through the illustrative numerical experiments, the fiber-reinforced tire belt structure is optimally tailored. The proposed multi-objective optimization algorithm is not limited to the tire reinforcement structure, but it can be applicable to the generalized multi-objective structural optimization problems in various engineering applications.

• 한국지반공학회논문집
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• 제19권6호
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• pp.379-385
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• 2003

기존의 섬유보강성토제체의 설계에서 보강재의 변형을 고려하지 않고 연직응력을 보강재의 인장강도로 사용함으로써, 흙구조물의 파괴응력에 대응하는 보강재의 한계응력산정과 그에 따른 보강재의 규격결정이 불가능했다. 보강재에 의해 보강된 성토제체의 파괴면에서 보강재와 흙의 거동은 초기응력단계에서는 일체로서 거동하지만 응력의 증가에 따라 변형량의 차이가 증가한다. 이러한 문제는 흙구조물의 보강재설계에서 중요한 요소로서 보강효과에 큰 영향을 미칠 수 있다. 본 연구에서는 연약지반위에 PET Mat로 보강한 성토제체의 보강재 설계 시 파괴면상의 보강재 설치위치에서 흙과 보강재의 변형량을 고려한 설계방법을 제시하였다. 연구결과에 의하면, 허용안전율을 확보하는 범위내에서 예상파괴면상의 보강재 설치위치에서의 보강재의 인장강도는 흙의 응력 이상이어야 하며, 흙의 변형링${\Delta S}$과 보강재의 변형량${\Delta G}$이 일체로 거동하는 보강재의 소요인장강도를 보강재의 설계인장강도로서 결정하는 것이 합리적이고 경제적인 것으로 평가되었다.