• Title/Summary/Keyword: 축소성

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Reduction Method based on Sub-domain Structure using Reduced Pseudo Inverse Method (축소 의사역행렬을 이용한 영역분할 기반 축소모델 구축기법 연구)

  • Kim, Hyun-Gi;Cho, Maeng-Hyo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.22 no.2
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    • pp.173-179
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    • 2009
  • Reduction scheme is remarkably useful in the case requiring the repeated calculation procedure. Recently, the efficiency of the reduction scheme has been improved by combining scheme of sub-domain method. But, when the global domain is partitioned into a few sub-domains, sub-domains without constraints can be produced. it is needed to extract the ritz vector from each sub-domain to construct the reduced system of each sub-domain. it is easy to extract the ritz vector from sub-domain with constraint. on the other hand, pseudo inverse method should be employed to extract the ritz vector from sub-domain without constraint. generally, the pseudo inverse takes a large number of computing time to obtain a reduced system of a sub-domain without boundary condition. This trouble can be overcome by the reduced pseudo inverse scheme which proposed in this study. This scheme is based on the static condensation that is not related with selection of the primary degrees of freedom. Numerical examples demonstrate that present method saves computational cost effectively. In addition, it is shown that the reduced system based on the proposed scheme predicts the accurate eigenvalues of global system.

Shrinkage Structure of Ridge Partial Least Squares Regression

  • Kim, Jong-Duk
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.327-344
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    • 2007
  • Ridge partial least squares regression (RPLS) is a regression method which can be obtained by combining ridge regression and partial least squares regression and is intended to provide better predictive ability and less sensitive to overfitting. In this paper, explicit expressions for the shrinkage factor of RPLS are developed. The structure of the shrinkage factor is explored and compared with those of other biased regression methods, such as ridge regression, principal component regression, ridge principal component regression, and partial least squares regression using a near infrared data set.

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The Optimal Column Grouping Technique for the Compensation of Column Shortening (기둥축소량 보정을 위한 기둥의 최적그루핑기법)

  • Kim, Yeong-Min
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.24 no.2
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    • pp.141-148
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    • 2011
  • This study presents the optimal grouping technique of columns which groups together columns of similar shortening trends to improve the efficiency of column shortening compensation. Here, Kohonen's self-organizing feature map which can classify patterns of input data by itself with unsupervised learning was used as the optimal grouping algorithm. The Kohonen network applied in this study is composed of two input neurons and variable output neurons, here the number of output neuron is equal to the column groups to be classified. In input neurons the normalized mean and standard deviation of shortening of each columns are inputted and in the output neurons the classified column groups are presented. The applicability of the proposed algorithm was evaluated by applying it to the two buildings where column shortening analyses had already been performed. The proposed algorithm was able to classify columns with similar shortening trends as one group, and from this we were able to ascertain the field-applicability of the proposed algorithm as the optimal grouping of column shortening.

A Learning Method of FMM Neural Network to Reduce the Side Effect of Hyperbox Contraction (FMM 신경망에서 하이퍼박스 축소의 부작용을 개선한 학습기법 연구)

  • Park Hyun Jung;Kim Ho Joon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.521-524
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    • 2004
  • 본 논문에서는 기존의 FMM 신경망의 학습 단계 중 하이퍼박스 축소 단계에서 발생하는 정보의 왜곡 현상을 보완하여, 패턴분류 성능을 향상시키는 방법론을 제안하고 그 유용성을 고찰한다. 제안된 학습방법에서는 기존 FMM 신경망의 하이퍼박스 생성, 확장, 축소의 3 가지 학습 과정 중 축소과정을 생략하고, 각 특징 범위와 빈도를 고려한 학습으로 대치함으로써 축소과정에서 나타나는 부작용을 보완할 수 있도록 하였다. 이는 가중치 개념을 통해 각 특징값의 상대적 중요도를 서로 다른 값으로 반영할 수 있도록 하며 하이퍼박스 중첩영역에서 발생하는 분류 오류를 최소화한다. 본 연구에서는 개선된 학습기법의 이론을 제시하고, 이를 아이리스 데이터 분류 실험에 적용하여 그 유용성을 고찰하였다.

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Development of Field-friendly Optimal Compensation System for Differential Column Shortening (현장 적용성을 고려한 기둥축소량의 최적보정시스템 개발)

  • Kim, Yeong-Min
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.23 no.2
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    • pp.139-152
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    • 2010
  • This study presents graphic-user interface computer program for optimal compensation of differential column shortening with high field applicability. The implemented system can perform both relative and mixed compensation while satisfying both performance and construction constraints. In the proposed system the shape of the structure before and after compensation can be checked graphically, and the results of compensation of each stories can be printed in drawings which can be directly used as the report of column shortening. The field-applicability of the implemented system was verified by applying it to the four reinforced concrete residental buildings of 61, 42, 49 and 53 stories where compensation of differential column shortening had already been performed. Using the implemented system, compensation can be performed easily with the various constraint conditions and was able to acquire rational compensation results for the cases where conventional method was not successful.

Average Correction for Compensation of Differential Column Shortening in High-rise Buildings (이동 평균법을 이용한 고층 건물의 부등축소량 보정 기법)

  • Park, Sung-Woo;Choi, Se-Woon;Park, Hyo-Seon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.23 no.4
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    • pp.395-401
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    • 2010
  • The vertical members of structures are shortened as time goes on. Because structures have been high-rising and atypical there should be different axial loads among vertical members and it causes differential column shortenings. The differential column shortening add stresses to connections, make slab tilt, and damage to non-structural components. To reduce these influences compensation is need. The rational compensation means the exact expectation of amounts of column shortenings and the reasonable corrections. The expectation of column shortenings are more exact as researched, however, there is little research about the compensation. This paper presents the average correction method and the constraints for differential column shortenings considering errors due to the construction precision. The relations between constraints and the number of correction groups give an objective criterion for decision of constraints.

Comparison of Projection-Based Model Order Reduction for Frequency Responses (주파수응답에 대한 투영기반 모델차수축소법의 비교)

  • Won, Bo Reum;Han, Jeong Sam
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.9
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    • pp.933-941
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    • 2014
  • This paper provides a comparison between the Krylov subspace method (KSM) and modal truncation method (MTM), which are typical projection-based model order reduction methods. The frequency responses are compared to determine the numerical accuracies and efficiencies. In order to compare the numerical accuracies of the KSM and MTM, the frequency responses and relative errors according to the order of the reduced model and frequency of interest are studied. Subsequently, a numerical examination shows whether a reduced order can be determined automatically with the help of an error convergence indicator. As for the numerical efficiency, the computation time needed to generate the projection matrix and the solution time to perform a frequency response analysis are compared according to the reduced order. A finite element model for a car suspension is considered as an application example of the numerical comparison.

A Numerical Experiment For Interference Waves Reduction In Chute Spillways With Contraction (축소부를 고려한 여수로의 충격파 저감 : 수치모의)

  • Hwang, Jong-Hoon;Kim, Dae-Geun;Kim, Chang-Si;Lee, Ji-Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1732-1736
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    • 2006
  • 여수로는 월류시 한계류 상태와 고유속의 사류상태가 복합적으로 일어나는 복잡한 흐름형태를 가지고 있어 여수로의 단면설계시 수리적인면뿐만 아니라 구조적인 측면에서도 안정해야 하며 경제성이 고려되어야 한다. 그래서 고유속의 흐름을 갖는 여수로에 축소부를 고려할 경우 충격파에 의한 수위상승과 하류의 흐름 교란 등 수리학적인 불안정이 발생하기 때문에 설계시 경제적인 장점이 있음에도 불구하고 단면축소부를 고려하여 여수로를 설계하는 것은 현실적으로 많은 어려움이 있다. 본 연구에서는 단면축소를 고려한 여수로 설계를 위하여 3차원 수치모형인 Flow-3D를 이용하여 충격파로 인하여 발생하는 교차파 저감을 모의하기 위하여 수치실험을 실시하였다. 교차파 저감을 위해 축소부내에서 교차파가 발생하도록 축소부의 각도는 유입흐름 특성을 고려하여 적정하게 설정하였다. 수치실험결과 축소부의 각도가 작을수록 첫번째 교차파의 수위는 크게 발생하지 않으나 단면축소후 교차파가 하류로 전파되어 불안정한 흐름이 연속적으로 발생하고, 과대하게 설정할 경우 첫번째 발생하는 교차파에 의해 중앙부의 수위가 크게 상승하는 결과를 보였다. 또한 본 연구에서는 축소부단면내 회절판(diffractor) 설치전 후의 수리학적 거동을 모의하여 회절판의 흐름개선 효과를 검증하였다.

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Structural Topology Optimization Using Two-level Dynamic Condensation Scheme (2단계 동적 축소법을 적용한 구조물의 위상 최적 설계)

  • Park Soo-Hyun;Kim Hyun-Gi;Cho Maeng-Hyo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.19 no.2 s.72
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    • pp.213-219
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    • 2006
  • Topology optimization problem requires numerous repeated evaluations of objective function and design sensitivity for elements within design domain with various density distributions. The recently proposed two-level condensation scheme(TLCS) is very promising for the construction of reduced system and for an accurate and efficient analysis concerned about eigenvalue and dynamic problems. We used the two-level dynamic condensation scheme for the analysis and sensitivity computation part in the structural topology optimization problem. The results of the topology optimization for the reduced system show the TLCS provides high accuracy and computation efficiency compared to the full scale system within engineering accuracy.

Comparison of Order Reduction Methods for Seismic Analysis (지진해석을 위한 차수축소기법의 비교)

  • Han, Jeong-Sam;Kwon, Ki-Beom
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.739-742
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    • 2011
  • 일반적으로 고층건물이나 교량 등의 지진하중 하에서의 내진 성능 향상을 위해서는 과도지진해석을 수행하는 것이 필요하다. 본 논문에서는 이러한 지진해석을 수행하는데 Krylov 부공간 축소기법을 이용하는 것을 제안하고 기존의 모드중첩법을 이용한 축소기법과 비교하였다. 해석에서 지진하중은 El Centro Earthquake (1940)의 데이터를 이용하였으며 고층건물 모델을 이용하여 두 방법을 정확성과 효율성 측면에서 비교한 수치결과를 제시하였다.

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