• Title/Summary/Keyword: Statical Analysis

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Techniques of Selection of Landslide Hazard Area on Analysis of Topographical Data (지형 데이타 해석에 따른 산사태 위험지역 선정 기법)

  • 강인준;최철웅;장용구
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.12 no.2
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    • pp.147-154
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    • 1994
  • Landslides in the close residential area occur loss of life and properties. Usually soil mechanical methods and multi-statistical methods used to analysis the landslide. The factors of landslide analysis by multi-statistical methods are composite operations of geology, topography, vegetation, and climate etc. In this study, existing landslide areas are cheesed to extract the characteristics of their geographical data for adaption of Multi-statical methods. Authors give a weight to their values and analyze the some area using technique of overlap on GSIS.

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Multi-objective Optimization of Lower Control Arm Considering the Stability for Weight Reduction (경량화에 대한 안전성을 고려한 로우컨트롤암의 다목적 최적설계)

  • 이동화;박영철;허선철
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.4
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    • pp.94-101
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    • 2003
  • Recently, miniaturization and weight reduction is getting more attention due to various benefits in automotive components design. It is a trend that the design of experiment(DOE) and statical design method are frequently used for optimization. In this research, the safety of lower control arm is evaluated according to its material change form S45C to A16061 for the reduction of arm's weight. The variance analysis on the basis of structure analysis and DOE is applied to the lower control m. We have proposed a statistical design model to evaluate the effect of structural modification by performing the practical multi-objective optimization considering mass, stress and deflection.

Collapse behaviour of three-dimensional brick-block systems using non-linear programming

  • Baggio, Carlo;Trovalusci, Patrizia
    • Structural Engineering and Mechanics
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    • v.10 no.2
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    • pp.181-195
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    • 2000
  • A two-step procedure for the application of non linear constrained programming to the limit analysis of rigid brick-block systems with no-tension and frictional interface is implemented and applied to various masonry structures. In the first step, a linear problem of programming, obtained by applying the upper bound theorem of limit analysis to systems of blocks interacting through no-tension and dilatant interfaces, is solved. The solution of this linear program is then employed as initial guess for a non linear and non convex problem of programming, obtained applying both the 'mechanism' and the 'equilibrium' approaches to the same block system with no-tension and frictional interfaces. The optimiser used is based on the sequential quadratic programming. The gradients of the constraints required are provided directly in symbolic form. In this way the program easily converges to the optimal solution even for systems with many degrees of freedom. Various numerical analyses showed that the procedure allows a reliable investigation of the ultimate behaviour of jointed structures, such as stone masonry structures, under statical load conditions.

Change of Statical Behavior and Ultimate Capacity of Steel Cable-stayed Bridges after Cable Failure (케이블 단선 후 강사장교의 구조 및 극한 거동 변화)

  • Kim, Seung-Jun;Choi, Jun-Ho;Won, Deok-Hee;Han, Taek-Hee;Kang, Young-Jong
    • Journal of Korean Society of Steel Construction
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    • v.23 no.6
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    • pp.747-761
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    • 2011
  • This paper presents an investigation on the change in the statical behavior and the ultimate capacity of steel cable-stayed bridges after cable failure. Cable failure can occur due to fire, direct vehicle clash accidents, cable or anchorage fatigue, and so on. Moreover, the cable may be temporarily disconnected during cable replacement work. When cable failure occurs, the load, that was supported by the broken cable is first transferred to another cable. Then the structural state changes due to the interaction between the girder, mast, and cables. Moreover, it can be predicted that the ultimate capacity will decrease after cable failure, because of the loss of the support system. In this study, the analysis method is suggested to find the new equilibrium state after cable failure based on the theory of nonlinear finite element analysis. Moreover, the ultimate analysis method is also suggested to analyze the ultimate behavior of live loads after cable failure. For a more rational analysis, a three-step analysis procedure is suggested and used, which consisted of initial shape analysis, cable failure analysis, and live load analysis. Using this analysis method, an analytical study was performed to investigate the changes in the structural state and ultimate behavior of steel cable-stayed bridges.

Seismic Data Analysis using the R (R을 이용한 지진자료 처리)

  • Chung, Tae-Woong;Lees, Jonathan M.;Yoon, Suk-Yung
    • Geophysics and Geophysical Exploration
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    • v.11 no.4
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    • pp.379-384
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    • 2008
  • R is a free software for statical computing and graphics. It compiles and runs not only on UNIX platforms but MS Windows. The R commands are easy and offer interactive help. R is used in extensive field by implementing packages. RSEIS, the package of R, enable us to do easy graphic process of seismic data. Here we illustrate an example of the seismic data process using RSEIS.

Dissolved Gas Analysis Interpretation System for Power Transformers using Statical Fuzzy Function (통계적 퍼지 함수를 이용한 전력용 변압기 유중가스 판정 시스템)

  • Cho, Sung-Min;Kim, Jae-Chul;Shin, Hee-Sang;Kweon, Dong-Jin;Koo, Kyo-Sun
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2007.11a
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    • pp.275-278
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    • 2007
  • Dissolved gases analysis (DGA) is one of the most useful techniques to detect incipient faults in power transformers. Criteria interpreting DGA result is the most important. Because of difference of operation environment, construction type, oil volume, and etc, the interpretative criteria of DGA at KEPCO must be different with other standard like IEC-60599, Rogers and Doernenburg. In this paper, we collected the DGA data of the normal condition transformers and the incipient fault transformer to suggest the most appropriate criteria. Using these data, this paper suggests appropriate condition classification algorithm. Suggested algorithm can help to detect incipient fault earlier without unnecessary sampling.

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A bicoherence analysis of EEG during Yes/No decision task (긍/부정 문답 과제 수행시 뇌파의 바이코히어런스 분석)

  • 남승훈;류창수;임태규;송윤선;유창용
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2003.05a
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    • pp.115-119
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    • 2003
  • 본 연구는 인간에 있어서 가장 간단한 의사라고 여겨지는 긍정과 부정 응답에 대해 나타나는 뇌파의 변화를 잘 반영하는 특징을 찾아내고자 하기 위한 것이다. 고차 통계적 방법(high order statical analysis)인 바이스펙트럼(bispectrum)은 뇌파의 다른 부위와 다른 주파수 사이의 비선형위상커플링(non-linear phase coupling)을 잘 반영하므로, 이를 이용하여 긍정이나 부정을 선택할 때 나타나는 뇌파를 분석하였다. 분석결과, 반응 전 1.25초∼0.5초 에 유의미한 차이를 보였다. 긍정과 부정 응답에 대한 뇌파의 주파수와 부위를 찾아 신경회로망의 입력으로 사용하여 긍정과 부정 응답에 대해 분별하였다. 2번의 뇌파실험에서 각각 실험 데이터에 대해서는 긍/부정 차이가 존재하지만 공통적인 특징이 나타나지는 않았다.

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Systematic Parameter Analysis for Line Capacity (용량모수 평가체계)

  • Kim Dong Hee;Hong Sun Heum;Lee Weon Soon;Cho Min Young
    • Proceedings of the KSR Conference
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    • 2003.10b
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    • pp.326-333
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    • 2003
  • Railway system is consisted of resources such as rail-line, signalling system, and railcars. It is necessary to efficiently utilize these limited and expensive resources as much as possible up to given line capacity. So far, we treat the line capacity as the criteria for evaluating investment alternatives or for restricting train frequencies, and this criteria is calculated statical and experimental numerical formula. But, line capacity has special attribute that changes dynamically according to operational conditions, so there is a need of new line capacity estimation system. In this paper, we present systematic line capacity analysis model. The proposed model has three main components; TPS(tain performance simulator), PES(parameter evaluation simulator), LCS(line capacity simulator).

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The Urban housewives에 Cognition, Usage, and Management Behavior of Credit Cards according to Home Management Behavior Pattern (주부의 가정관리행동유형에 따른 신용카드에 대한 인식 및 사용.관리행동)

  • 김나연;계선자
    • Journal of Family Resource Management and Policy Review
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    • v.1 no.1
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    • pp.57-70
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    • 1997
  • The purpose of this study is to analyze housewives’ cognition, usage, and management behavior of credit cards according to home management behavior pattern. The sample of this study was selected from the housewives’ living in Seoul who has credit cards. After class-analyzation of the sample, 523 out of 612 repondents were finally selected data. The data were analyzed by the statical methods such as frequency, mean, percentile, Factor Analysis, t-test, ANOVA, Duncan’s multiple range test, Person’s Correlation, and Multiple Regression Analysis through the SAS program package. The major findings of this study are as followers : First, housewives’ usage and management behavior of credit cards was a positive relationship between home management behavior pattern. Second, housewives’ cognition of credit cards showed a significant positive relationship with usage and management behavior of credit card. Third, the most influencial variables on housewives’usage and management behavior of credit cards were their value and home management behavior pattern.

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A Study on College Women′s Attitude Toward and Buying Intention of Well-Known Brand Apparel (여대생들의 유명브랜드 의류에 대한 태도 및 구입 의도 연구)

  • Hyei-Young Chung
    • The Research Journal of the Costume Culture
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    • v.8 no.1
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    • pp.1-14
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    • 2000
  • The purposed of this was (1) to investigate the beliefs, attitudes and buying intention of well-known brand apparel among female college students, and (2) to identify the factors that might distinguish those who have high intention to purchase well-known brand apparel and those who have low intention in terms of individual characteristics and social influence. The data were collected trough questionnaire from random samples of 291 female college students. Statical analysis of factor analysis, χ²-test, t-test and multiple discriminant were performed in analyzing the data. 1. 63% of 291 respondents investigated were identified as having high intention to buy well-known brand apparel. 2. Those who have high intention to buy well-known brand apparel have significantly higher beliefs on well-known brand apparel. 3. Those who have high intention to buy well-known brand apparel have significantly more favorable attitude toward buying well-known brand apparel. 4. Two groups of high intention and low intention to buy well-known brand apparel have significantly different profiles in terms of social influences, values, personality and demographic variables.

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