• 제목/요약/키워드: Plate Algorithm

검색결과 601건 처리시간 0.022초

Buckling load optimization of laminated plates via artificial bee colony algorithm

  • Topal, Umut;Ozturk, Hasan Tahsin
    • Structural Engineering and Mechanics
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    • 제52권4호
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    • pp.755-765
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    • 2014
  • In this present work, Artificial Bee Colony Algorithm (ABCA) is used to optimize the stacking sequences of simply supported antisymmetric laminated composite plates with criticial buckling load as the objective functions. The fibre orientations of the layers are selected as the optimization design variables with the aim to find the optimal laminated plates. In order to perform the optimization based on the ABCA, a special code is written in MATLAB software environment. Several numerical examples are presented to illustrate this optimization algorithm for different plate aspect ratios, number of layers and load ratios.

유전자 알고리즘(GA)을 이용한 구조물의 동적해석 및 최적화 (Structural Dynamic Optimization Using a Genetic Algorithm(GA))

  • 이영우;성활경
    • 한국정밀공학회지
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    • 제17권5호
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    • pp.93-99
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    • 2000
  • In many dynamic structural optimization problems, the goal is to reduce the total weight of the structure without causing the resonance. Up to now, gradient informations(i.e., design sensitivity) have been used to achieve the goal. For some class of dynamic problems, especially coalescent eigenvalue Problems with multiobjective optimization, the design sensitivity analysis is too much complicated mathematically and numerically. Therefore, this article proposes a new technique fur structural dynamic modification using a mode modification method with Genetic Algorithm(GA). In GA formulation, fitness is defined based on penalty function approach. Design variables are iteratively improved by using genetic algorithm. Two numerical examples are shown, (ⅰ) a cantilevered plate, and (ⅱ) H-shaped structure. The results demonstrate that the proposed method is highly efficient.

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Mobile Robot Destination Generation by Tracking a Remote Controller Using a Vision-aided Inertial Navigation Algorithm

  • Dang, Quoc Khanh;Suh, Young-Soo
    • Journal of Electrical Engineering and Technology
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    • 제8권3호
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    • pp.613-620
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    • 2013
  • A new remote control algorithm for a mobile robot is proposed, where a remote controller consists of a camera and inertial sensors. Initially the relative position and orientation of a robot is estimated by capturing four circle landmarks on the plate of the robot. When the remote controller moves to point to the destination, the camera pointing trajectory is estimated using an inertial navigation algorithm. The destination is transmitted wirelessly to the robot and then the robot is controlled to move to the destination. A quick movement of the remote controller is possible since the destination is estimated using inertial sensors. Also unlike the vision only control, the robot can be out of camera's range of view.

Structural damage identification using gravitational search algorithm

  • Liu, J.K.;Wei, Z.T.;Lu, Z.R.;Ou, Y.J.
    • Structural Engineering and Mechanics
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    • 제60권4호
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    • pp.729-747
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    • 2016
  • This study aims to present a novel optimization algorithm known as gravitational search algorithm (GSA) for structural damage detection. An objective function for damage detection is established based on structural vibration data in frequency domain, i.e., natural frequencies and mode shapes. The feasibility and efficiency of the GSA are testified on three different structures, i.e., a beam, a truss and a plate. Results show that the proposed strategy is efficient for determining the locations and the extents of structural damages using the first several modal data of the structure. Multiple damages cases in different types of structures are studied and good identification results can be obtained. The effect of measurement noise on the identification results is investigated.

BB-BC optimization algorithm for structural damage detection using measured acceleration responses

  • Huang, J.L.;Lu, Z.R.
    • Structural Engineering and Mechanics
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    • 제64권3호
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    • pp.353-360
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    • 2017
  • This study presents the Big Bang and Big Crunch (BB-BC) optimization algorithm for detection of structure damage in large severity. Local damage is represented by a perturbation in the elemental stiffness parameter of the structural finite element model. A nonlinear objective function is established by minimizing the discrepancies between the measured and calculated acceleration responses (AR) of the structure. The BB-BC algorithm is utilized to solve the objective function, which can localize the damage position and obtain the severity of the damage efficiently. Numerical simulations have been conducted to identify both single and multiple structural damages for beam, plate and European Space Agency Structures. The present approach gives accurate identification results with artificial measurement noise.

Genetic Algorithm을 활용한 Heat Sink 최적 설계 (Heat Sink Design Optimization using Genetic Algorithm)

  • 김원곤
    • EDISON SW 활용 경진대회 논문집
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    • 제4회(2015년)
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    • pp.500-509
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    • 2015
  • This paper presents the single objective design optimization of plate-fin heat sink equipped with fan cooling system using Genetic Algorithm. The proper heat sink and fan model are selected based on the previous studies. And the thermal resistance of heat sinks and fan efficiency during operation are calculated according to specific design parameters. The objective function is combination of thermal resistance and fan efficiency which have been taken to measure the performance of the heat sink. And Decision making procedure is suggested considering life time of semiconductor and Fan Operating cost. And also Analytical Model used for optimization is validated by Fluent, Ansys 13.0 and this model give a quite reasonable and reliable design.

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차량용 블랙박스 영상을 이용한 주간 신호등 탐지 및 인식 시스템 (Traffic Lights Detection and Recognition System Using Black-Box Images)

  • 황지은;안다솔;이승화;박성호;박천수
    • 반도체디스플레이기술학회지
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    • 제15권2호
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    • pp.43-48
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    • 2016
  • In this paper, we propose a traffic light detection and recognition (TLDR) algorithm in the daytime. The proposed algorithm utilizes the color and shape information for the TLDR. At first, a traffic light is detected and recognized based on its shape information. Then, the color range of the detected traffic light is investigated in HSV color space. The input data of the proposed TLDR algorithm is the color image captured using the black box camera during driving. Our simulations demonstrate that the proposed algorithm can achieve a high detection and recognition performance for the images including traffic lights.

복셀 차감법에 의한 나노 복화공정 정밀화 (Development of Contour Offset Algorithm(COA) in nRP Process for Fabricating Nano-precision Features)

  • 임태우;박상후;양동열;이신욱;공홍진
    • 한국정밀공학회지
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    • 제21권6호
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    • pp.160-166
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    • 2004
  • In this study, a new algorithm, named as Contour Offset Algorithm(COA) is developed to fabricate precise features or patterns in the range of several micrometers by nano replication printing(nRP) process. In the nRP process, a femto-second laser is scanned on a photosensitive monomer resin in order to induce polymerization of the liquid monomer according to a voxel matrix which is transformed from the bitmap format file. After polymerization, a droplet of ethanol is dropped to remove the unnecessary remaining liquid resin and then only the polymerized figures with nano-scaled precision are remaining on the glass plate. To obtain more precise replicated features, the contour lines in voxel matrix should be modified considering a voxel size. In this study, the efficiency of the proposed method is shown through two examples in view of accuracy.

고유값 분석을 이용한 효과적인 후판의 직선 검출 (Effective Line Detection of Steel Plates Using Eigenvalue Analysis)

  • 박상현;김종호;강의성
    • 한국정보통신학회논문지
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    • 제15권7호
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    • pp.1479-1486
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    • 2011
  • 본 논문에서는 후판 영상에서 직선 패턴을 검출하는 간단하면서도 정확한 알고리즘을 제안한다. 후판의 직선 검출은 후판 영상으로부터 후판에 관련된 정보를 분석하거나 인식할 때 기본적으로 사용되는 핵심적인 알고리즘이다. 제안하는 알고리즘에서는 마스크를 이용하여 전체 영상을 탐색하면서 에지 영상을 분석한다. 먼저 마스크에 위치한 에지 패턴의 픽셀들에 대한 공분산 행렬을 계산하고 공분산 행렬의 고유값과 에지 패턴의 통계적 기하학적인 특성 사이의 관계를 분석하여 직선 에지를 검출한다. 직선 패턴이 중복된 에지 영상에 대해서는 모든 직선을 정확하게 검출하기 위하여 먼저 각 직선 패턴을 전체 영상에서 분리한 후 고유값을 계산한다. 또한 에지를 구성하는 픽셀의 수와 에지의 방향 정보를 이용하여 불필요한 직선 에지들을 제거함으로써 후판의 직선 에지를 정확하게 검출하도록 한다. 다양한 후판 영상에 대해서 실험을 수행한 결과는 제안하는 알고리즘이 고유값을 이용한 기존 알고리즘 보다 우수함을 보여준다.

문자열을 포함하는 자연 영상에서의 효과적인 문자 추출 기법 (Efficient Character Segmentation Technique in the Natuaral Images Containing Character Sequences)

  • 김종호;박상현;강의성
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.907-910
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    • 2011
  • 제철소에서 생산된 철판의 물류 자동화 시스템을 구축하는데 있어 각 철판에 기록된 정보를 정확하게 파악하여 효과적인 적재 및 운반 시스템을 갖추는 것이 관건이다. 이를 위하여 본 논문에서는 생산 및 운반 정보가 기록된 철판 영상을 분석하여 자동화 시스템을 구축하기 위한 문자 추출 기법을 제안한다. 철판 영상은 가로 방향으로 철판의 정보를 나타내는 문자열을 포함하고 있고, 이러한 문자열이 세로 방향으로 배치되어 있기 때문에 각 문자를 분리하기 위해서는 2차원 기법을 적용하도록 한다. 영상을 획득하는 환경에 따라 문자 분리 성능에 미치는 영향을 최소화하기 위하여 국부 특징을 반영한 효율적인 이진화 기법을 제안하고, 잡음 등에 민감한 특성을 제거하기 위하여 CCA(Connected Component Analysis)를 이용한 문자 여부를 판단하는 방법을 제안한다. 이렇게 분석된 영상에 대해 2차원 투영 기법을 적용하여 철판에 기록된 각 문자를 정확하게 분리하도록 한다. 제안된 문자 추출 기법은 높은 성능을 나타내면서도 저 복잡도를 가지도록 설계하여 제한된 자원을 이용하는 기기에 효과적으로 응용될 수 있다.

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