• Title/Summary/Keyword: 설계 민감도 분석

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Design and Optimization of Active Transfemoral Prosthesis System (능동형 대퇴의지 시스템의 설계 및 최적화 연구)

  • Chung, J.H.;Lee, K.H.;Lee, C.H.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.8 no.4
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    • pp.283-289
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    • 2014
  • This paper presents a design and optimization of the fully-active transfemoral prosthesis leg system. As it has one degree of freedom in knee joint, this prosthesis leg can imitate the human's gait. The weight of system, which makes the users more comfortable due to less tiredness, and the knee joint torque to rise stability of the system are major factors of prosthesis leg system. Thus the mechanism of prosthesis changes from 3-linkage type to geared type. The sensorized foot is also designed to effectively determine human's gait by measuring deformation of the foot during gait. Topology optimization is carried out for the sensorized foot to remove its unnecessary weight. The safety of optimized foot is verified by carrying out finite element analysis.

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3D Finite Element Analysis of Rock Behavior with Bench Length and Gther Design Parameters of Tunnel (터널의 벤치길이를 중심으로 한 설계변수에 따른 암반거동의 3차원 수치해석)

  • 강준호;정직한;이정인
    • Tunnel and Underground Space
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    • v.11 no.1
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    • pp.30-35
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    • 2001
  • Focusing on the bench length, this paper presents the results of 3-dimensional elafto-plastic FE Analysis un tunnels of full face, mini-bench and short bench excavated in weathered rock. Influences of unsupported span, horizontal to vertical stress ratio, thickness of shotcrete on the behavior of rock and support were a1so studied. Results showed that displacements of mini-bench tunnels responded more sensitively to bench lengths than those of short bench. The effects of bench excavation on upper half displacement increased with longer unsupported span. Horizontal to vertical stress ratio showed a greater influence on displacement and preceding displacement ratio or sidewall rather than those of crown and invert.

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Development of Subbase Analysis Model Considering Stress Dependency (응력의존성을 고려한 보조기층 해석모델 개발)

  • Kim, Ji Hwan;Kang, Beong Joon;Lee, Jun Hwan;Choi, Jun Seong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.3D
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    • pp.331-338
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    • 2008
  • Road pavements consist of layered structure and each layer is made of various materials. The load responses of pavement structures are very sensitive to properties of subbase materials. Successful pavement design, therefore, depends on the method and the accuracy of measuring material properties, and it requires realistic description of the behavior of layered materials. Resilient modulus ($M_R$) is widely used properties representing pavement structure materials. In this study, we collected data for mechanical characteristics of subbase materials that were used in domestic construction and adopted them to form a constitutive equation of subbase $M_R$ value. Proposed model was evaluated through the finite element analysis.

An Analysis of Characteristic Parameters for the Design of Detention Pond in Urbanized Area (도시유역에서 저류지 설계를 위한 특성인자 분석)

  • Lee, Jae-Joon;Kim, Ho-Nyun;Kwak, Chang-Jae
    • Journal of the Korean Society of Hazard Mitigation
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    • v.6 no.4 s.23
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    • pp.37-47
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    • 2006
  • Urban development results in increased runoff volume and flowrates and shortening in time of concentration, which may cause frequent flooding downstream. Flow retardation structures to limit adverse downstream effects of urban storm runoff are used. There are various types of flow retardation measures include detention basins, retention basins, and infiltration basins. In basic planning phase, a number of planning models of detention ponds which decide storage volume by putting main variables were used to design detention ponds. The characteristics of hydrological parameters $\alpha,\;\gamma$ which are used in planning models of detention pond were analyzed. In this study, detention ponds data of Disaster Impact Assessment report at 22 sites were analyzed in order to investigate correlation between characteristic of urban drainage basin parameter and characteristics of detention pond parameter due to urbanization effects. The results showed that storage volume was influenced by peak discharge ratio $\alpha$ more than runoff coefficient ratio $\beta$ and peak discharge ratio $\alpha$ was influenced by runoff coefficient ratio $\beta$ less than regional parameter n. Storage ratio was mainly influenced by duration of design rainfall in the case of trapezoidal inflow hydrograph such as Donahue et al. method.

Evaluation of Impact Resistance for Concrete Median Barrier Depending on Vehicle Curb Weight, Concrete Cover Depth and Level of Deterioration (트럭 공차중량, 중앙분리대 피복두께 및 열화수준에 따른 중앙분리대 충돌해석모델의 민감도 분석)

  • Lee, Jaeha;Lee, Ilkeun;Jeong, Yoseok;Kim, Kyeongjin;Kim, WooSeok
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.4
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    • pp.297-306
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    • 2017
  • The concrete median barrier used currently in South Korea was developed the impact level of SB5-B(270kJ). However, the impact level of SB6(420kJ) should be considered in many placed with the increased accident of heavy vehicles. In order to increase the impact resistance of newly developed concrete median barrier, the computer simulation was conducted before real field test. For the accurate behavior of concrete, the parameter, such as impact vehicle, concrete cover depth and deterioration, was important. In this paper, a parametric study was conducted depending on vehicle curb weight, concrete cover depth and level of deterioration. The impact resistance of concrete median barrier was severely changed depending on vehicle curb weight and concrete cover depth. Furthermore, the impact resistance of concrete median barrier was also decreased due to deterioration of concrete, therefore the repair and rehabilitation should be conducted for damaged concrete depending on deterioration level. Therefore, vehicle curb weight, cover depth of concrete structures and deterioration level of concrete should be carefully considered for conducting analysis of concrete structure to vehicle collision.

A Study on the Effect of Pile Surface Roughness on Adfreeze Bond Strength (말뚝표면 거칠기에 따른 동착강도 변화에 관한 연구)

  • Choi, Changho
    • Journal of the Korean GEO-environmental Society
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    • v.12 no.12
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    • pp.79-88
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    • 2011
  • Adfreeze bond strength develops upon freezing of pore water within soil and at foundation surface. It has been reported that various factors like temperature, soil type, and pile surface roughness affect adfreeze bond strength. Especially, pile surface roughness has been considered as a primary factor to design pile foundation in frozen ground. It has usually been estimated with fixed correction factors for pile materials. However, even if the pile foundation material is the same, the surface roughness could vary depending on the production circumstances. In this study, laboratory test was carried out to quantitatively analyze the effects of surface roughness on the adfreeze bond strength, and fractal dimension was used as a measure for surface roughness. Test results showed that adfreeze bond strength increased with decreasing temperature, increasing vertical stress and surface roughness. The adfreeze bond strength varies sensitively with surface roughness in the early freezing section of $-2^{\circ}C$, but its sensitivity decreased in the temperature ranging between $-2^{\circ}C$ to $-5^{\circ}C$. The results conclude that the roughness highly affects the frictional resistance of pile surface in frozen ground; however, the roughness does not affect considerably when the temperature drops below about $-2^{\circ}C$.

Determination of Resonable Unit Snow Weight and Greatest Gust Speed for Design of Agricultural Structures and their Applications (농업시설의 설계하중 산정을 위한 적정 단위적설중량과 순간최대풍속의 결정 및 적용)

  • 손정익
    • Journal of Bio-Environment Control
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    • v.3 no.1
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    • pp.1-9
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    • 1994
  • Wind load or snow load, acting on agricultural structures is working more sensitive than any other load and therefore plays an important role in determination of design loads of agricultural structures. In this study, unit snow weight, greatest gust speed and depth of snow fall were analyzed and applied to determine the amount of frames. The unit snow weights were statistically classified and calculated in the basis of mean temperature and showed considerable differences between the unit snow weights at below and above -1$^{\circ}C$. Equations for estimating greatest gust speed with fastest wind speed were developed for inland and seaside districts. The calculated values from developed equations were little higher than those from the current equation in general. The difference between the depths of snow cover and snow fall, which shows the possibility of reduction of design loads under the adequate management. Design wind speed estimated by a modified equation suggested the amount of frames less than those by current one, and the depth of snow fall as a design snow depth suggested the amount of frames more than those of snow cover. Therefore, it is very important to select the adequate design values considering the characteristics of agricultural structures.

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Analyses of Impacts of the Outpatient Cost Sharing Reduction based on the Difference-in-differences Model (이중차이모델에 의한 건강보험 외래본인부담금 경감제도의 영향 분석)

  • Ahn, Lee-Su
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.187-197
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    • 2013
  • Objectives : The purpose of this study was to analyze the effect of outpatient cost sharing reduction on health care utilization of children under 6 years old. Methods : The data in this analysis was the health insurance claims data between August 2006 and July 2008. The study group was divided into two age groups, namely 0-5 years old and 6-10 years old. This study evaluated the impact of policy change on office visits per person and expenditure per visit. In order to do so, the double difference analysis is used. Results: The results showed that outpatient cost-sharing reduction has never really had a huge impact on office visits per person and expenditure per visit. Conclusions: This study showed that the outpatient cost sharing reduction for children under 6 years old policy is not working. Therefore, cost sharing of National Health Insurance by income class is needed.

On the Design of Multi-layered Polygonal Helix Antennas (다각 다단 구조 헬릭스 안테나 설계)

  • Choo Jae-Yul;Choo Ho-Sung;Park Ik-Mo;Oh Yi-Sok
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.17 no.3 s.106
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    • pp.249-258
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    • 2006
  • In this letter, we propose a novel printed helix antenna for RFID reader in UHF band. The printed strip line of the antenna is first wound up outside a polygonal shaped layer and then the winding continues on an inner layer to control the overall gain and the radiation pattern. In addition, the winding pitch angles on each layer have either negative or positive values resulting in the broad CP bandwidth. The detail structure of the antenna was optimized using Pareto genetic algorithm(GA), so as to obtain excellent performances for RFID reader antennas. The optimized two-layered polygonal helix was fabricated on the cardboard of a flexible substrate and the performances were measured and compared with the simulations. The fabricated antenna was made up of copper tape which can adhere to a flexible cardboard and had 21.4 % matching bandwidth, 31.9 % CP bandwidth, readable range of $5.5m^2$ with kr=3.2. Also based on the current distribution of the strip line of the antenna and sensitivity of the antenna bents points, we confirmed that the antenna has the quarter-wave transformer near the feed for the broad matching bandwidth and radiates the traveling wave for the broad CP bandwidth using the bent strip line.

A Study on Optimized Artificial Neural Network Model for the Prediction of Bearing Capacity of Driven Piles (항타말뚝의 지지력 예측을 위한 최적의 인공신경망모델에 관한 연구)

  • Park Hyun-Il;Seok Jeong-Woo;Hwang Dae-Jin;Cho Chun-Whan
    • Journal of the Korean Geotechnical Society
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    • v.22 no.6
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    • pp.15-26
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    • 2006
  • Although numerous investigations have been performed over the years to predict the behavior and bearing capacity of piles, the mechanisms are not yet entirely understood. The prediction of bearing capacity is a difficult task, because large numbers of factors affect the capacity and also have complex relationship one another. Therefore, it is extremely difficult to search the essential factors among many factors, which are related with ground condition, pile type, driving condition and others, and then appropriately consider complicated relationship among the searched factors. The present paper describes the application of Artificial Neural Network (ANN) in predicting the capacity including its components at the tip and along the shaft from dynamic load test of the driven piles. Firstly, the effect of each factor on the value of bearing capacity is investigated on the basis of sensitivity analysis using ANN modeling. Secondly, the authors use the design methodology composed of ANN and genetic algorithm (GA) to find optimal neural network model to predict the bearing capacity. The authors allow this methodology to find the appropriate combination of input parameters, the number of hidden units and the transfer structure among the input, the hidden and the out layers. The results of this study indicate that the neural network model serves as a reliable and simple predictive tool for the bearing capacity of driven piles.