• 제목/요약/키워드: marginal structural importance

검색결과 7건 처리시간 0.04초

Joint Structural Importance of two Components

  • Abouammoh, A.M.;Sarhan, Ammar
    • International Journal of Reliability and Applications
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    • 제3권4호
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    • pp.173-184
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    • 2002
  • This paper introduces the joint structural importance of two components in a coherent system. Some relationships between joint structural importance and marginal structural importance are presented. It is shown that the sign of Joint structural importance can be determined, in advance, without computation in some special structures. The joint structural importance of two components in some series-parallel and parallel-series systems are established. Some practical examples are presented to elucidate some of the derived results.

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Structural reliability estimation based on quasi ideal importance sampling simulation

  • Yonezawa, Masaaki;Okuda, Shoya;Kobayashi, Hiroaki
    • Structural Engineering and Mechanics
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    • 제32권1호
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    • pp.55-69
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    • 2009
  • A quasi ideal importance sampling simulation method combined in the conditional expectation is proposed for the structural reliability estimation. The quasi ideal importance sampling joint probability density function (p.d.f.) is so composed on the basis of the ideal importance sampling concept as to be proportional to the conditional failure probability multiplied by the p.d.f. of the sampling variables. The respective marginal p.d.f.s of the ideal importance sampling joint p.d.f. are determined numerically by the simulations and partly by the piecewise integrations. The quasi ideal importance sampling simulations combined in the conditional expectation are executed to estimate the failure probabilities of structures with multiple failure surfaces and it is shown that the proposed method gives accurate estimations efficiently.

Modeling of self-excited forces during multimode flutter: an experimental study

  • Siedziako, Bartosz;iseth, Ole O
    • Wind and Structures
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    • 제27권5호
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    • pp.293-309
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    • 2018
  • The prediction of multimode flutter relies, to a larger extent than bimodal flutter, on accurate modeling of the self-excited forces since it is challenging to perform experimental validation by using aeroelastic tests for a multimode case. This paper sheds some light on the accuracy of predicted self-excited forces by comparing numerical predictions of self-excited forces with measured forces from wind tunnel tests considering the flutter vibration mode. The critical velocity and the corresponding flutter vibration mode of the Hardanger Bridge are first determined using the classical multimode approach. Then, a section model of the bridge is forced to undergo a motion corresponding to the flutter vibration mode at selected points along the bridge, during which the forces that act upon it are measured. The measured self-excited forces are compared with numerical predictions to assess the uncertainty involved in the modeling. The self-excited lift and pitching moment are captured in an excellent manner by the aerodynamic derivatives. The self-excited drag force is, on the other hand, not well represented since second-order effects dominate. However, the self-excited drag force is very small for the cross-section considered, making its influence on the critical velocity marginal. The self-excited drag force can, however, be of higher importance for other cross-sections.

Analysis and probabilistic modeling of wind characteristics of an arch bridge using structural health monitoring data during typhoons

  • Ye, X.W.;Xi, P.S.;Su, Y.H.;Chen, B.
    • Structural Engineering and Mechanics
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    • 제63권6호
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    • pp.809-824
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    • 2017
  • The accurate evaluation of wind characteristics and wind-induced structural responses during a typhoon is of significant importance for bridge design and safety assessment. This paper presents an expectation maximization (EM) algorithm-based angular-linear approach for probabilistic modeling of field-measured wind characteristics. The proposed method has been applied to model the wind speed and direction data during typhoons recorded by the structural health monitoring (SHM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. In the summer of 2015, three typhoons, i.e., Typhoon Chan-hom, Typhoon Soudelor and Typhoon Goni, made landfall in the east of China and then struck the Jiubao Bridge. By analyzing the wind monitoring data such as the wind speed and direction measured by three anemometers during typhoons, the wind characteristics during typhoons are derived, including the average wind speed and direction, turbulence intensity, gust factor, turbulence integral scale, and power spectral density (PSD). An EM algorithm-based angular-linear modeling approach is proposed for modeling the joint distribution of the wind speed and direction. For the marginal distribution of the wind speed, the finite mixture of two-parameter Weibull distribution is employed, and the finite mixture of von Mises distribution is used to represent the wind direction. The parameters of each distribution model are estimated by use of the EM algorithm, and the optimal model is determined by the values of $R^2$ statistic and the Akaike's information criterion (AIC). The results indicate that the stochastic properties of the wind field around the bridge site during typhoons are effectively characterized by the proposed EM algorithm-based angular-linear modeling approach. The formulated joint distribution of the wind speed and direction can serve as a solid foundation for the purpose of accurately evaluating the typhoon-induced fatigue damage of long-span bridges.

뉴스생산 환경에 따른 방송 보도의 선정성 네트워크 분석·프레임 분석 : 유명인에 대한 미투운동 사례를 중심으로 (Network Analysis and Frame Analysis on the Sensationalism of News Coverage according to the Influence of News Production Environment : based on the #metoo movement of celebrity)

  • 홍주현
    • 한국콘텐츠학회논문지
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    • 제18권7호
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    • pp.103-119
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    • 2018
  • 이 연구는 계층모델을 토대로 뉴스생산 환경에 따라 미투 운동 보도의 선정성에 차이가 있는지 규명하기 위해 뉴스에 대한 네트워크 분석과 프레임 분석을 실시했다. 유명인에 대해 지상파보다 종편 뉴스의 선정성이 더 높았다. 지상파는 사건 중심으로 보도를 한 반면 종편은 피해 상황, 피해자의 심경, 가해자가 한 말이나 행동 등 성폭행 상황을 자세하게 묘사하고 안희정 전 지사에 대한 비난, 주변인 인터뷰를 통해 더 선정적으로 보도했다. 미투 운동 보도에서 방송은 가해자 중심으로 보도했다. 사건의 이름과 헤드라인에서 이러한 경향이 두드러졌는데 가해자인 안 전 지사가 '합의에 의한 관계'였다고 언급한 '합의 관계 프레임'이 일관되게 나타났다. 안 지사에 대한 '가해자 비난 프레임'도 있었다. 미투 운동 보도에서 방송은 폭로 저널리즘의 전형을 보여줬으며 미투 운동의 사회적 의미나 권력 관계를 중심으로 사건을 분석하고 해결방안을 제시한 보도는 찾아 볼 수 없었다. 연구를 통해 방송의 선정성 문제는 기자 개인의 문제가 아니라 미디어 관행, 조직적 차원의 문제로 접근해야 한다고 제안했다.

시장개방(市場開放)과 국내기업(國內企業)의 구조조정(構造調整) (Structural Adjustment of Domestic Firms in the Era of Market Liberalization)

  • 성소미
    • KDI Journal of Economic Policy
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    • 제13권4호
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    • pp.91-116
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    • 1991
  • 경제(經濟)의 개방화(開放化) 및 산업구조(塵業構造)의 고도화(高度化)가 진전되면서 국내기업들은 주력사업의 성장이 감퇴하는 구조변화(構造變化)에 직면하게 된다. 극단적인 경우에 도산(倒産)이나 폐업(廢業)을 단행하는 국내 기업들도 있을 것이다. 그러나 보다 우월한 적응능력을 가진 대부분의 대기업이나 중견기업들은 고임금(高賃金)과 현재의 기술여건(技術與件)에서 경쟁우위를 확보할 수 있는 영역(market niches)을 찾아 합리화 및 고부가가치화, 제품 및 시장다각화 등 신축적인 사업조정(事業調整)을 통해 수익성이 낮은 기존사업의 비중을 점차적으로 줄이면서 고수익성(高收益性) 사업(事業)으로 전환(轉換) 할 것이다. 사업구조 조정과정에서 기업(企業)은 단기적으로는 기존의 주력사업 내에서 경영합리화 및 감량경영을 통해 비용(費用)을 절감(節減)하고 제품의 고부가가치화(高附加價値化)를 추구하는 동시에 장기적으로는 사업구조 재편성을 목표로 기존의 우위요소를 최대한 활용하면서 새로운 우위요소(優位要素) 창출(創出)을 위해 기업의 전략구상, 조직 및 기업문화면에서의 구조전환을 시도하게 된다. 그러나 기업의 발상(發想), 조직구조(組織構造), 조직문화(組織文化)는 환경변화만큼 신속히 일어나지 않는다. 동일한 환경, 동일한 산업 내에서도 성공하는 기업이 있고 실패하는 기업이 있는 것처럼 환경변화에 대한 정확한 인식(認識)과 성공적인 전략(戰略)의 수립 및 실행은 기업들의 체계적인 노력여하에 따라 다르게 나타난다. (企業)의 구조전환(構造轉換)은 국가경제의 발전방향, 업종의 실태와 전망에 관한 정보에 기반하여 장기계획하(長期計劃下)에 기업의 축적된 경영자원을 활용하는 방향으로 이루어져야 한다. 기업이란 주주(株主), 경영자(經營者), 근로자(勤勞者) 등 이익집단간의 이해관계(利害關係)가 균형을 이루면서 발전해 나가는 조직이라는 새로운 인식(認識)에 기반하여 기업은 합리적 노사관계의 정착에 노력하고 정부(政府)는 경쟁(競爭)을 통한 기업체질 강화라는 기본방침하(基本方針下)에 재래산업(在來産業)의 전환비용(轉換費用)을 줄이고 신규사업(新規事業)의 창출(創出)을 뒷받침하는 제도개선(制度改善)을 해 나가야 한다.

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스마트폰 위치기반 어플리케이션의 이용의도에 영향을 미치는 요인: 프라이버시 계산 모형의 적용 (Factors Influencing the Adoption of Location-Based Smartphone Applications: An Application of the Privacy Calculus Model)

  • 차훈상
    • Asia pacific journal of information systems
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    • 제22권4호
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    • pp.7-29
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    • 2012
  • Smartphone and its applications (i.e. apps) are increasingly penetrating consumer markets. According to a recent report from Korea Communications Commission, nearly 50% of mobile subscribers in South Korea are smartphone users that accounts for over 25 million people. In particular, the importance of smartphone has risen as a geospatially-aware device that provides various location-based services (LBS) equipped with GPS capability. The popular LBS include map and navigation, traffic and transportation updates, shopping and coupon services, and location-sensitive social network services. Overall, the emerging location-based smartphone apps (LBA) offer significant value by providing greater connectivity, personalization, and information and entertainment in a location-specific context. Conversely, the rapid growth of LBA and their benefits have been accompanied by concerns over the collection and dissemination of individual users' personal information through ongoing tracking of their location, identity, preferences, and social behaviors. The majority of LBA users tend to agree and consent to the LBA provider's terms and privacy policy on use of location data to get the immediate services. This tendency further increases the potential risks of unprotected exposure of personal information and serious invasion and breaches of individual privacy. To address the complex issues surrounding LBA particularly from the user's behavioral perspective, this study applied the privacy calculus model (PCM) to explore the factors that influence the adoption of LBA. According to PCM, consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. Consistent with the principal notion of PCM, we investigated how individual users make a risk-benefit assessment under which personalized service and locatability act as benefit-side factors and information privacy risks act as a risk-side factor accompanying LBA adoption. In addition, we consider the moderating role of trust on the service providers in the prohibiting effects of privacy risks on user intention to adopt LBA. Further we include perceived ease of use and usefulness as additional constructs to examine whether the technology acceptance model (TAM) can be applied in the context of LBA adoption. The research model with ten (10) hypotheses was tested using data gathered from 98 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a LBA allows the participant to purchase time-and-location sensitive discounted tickets for nearby stores. Structural equations modeling using partial least square validated the instrument and the proposed model. The results showed that six (6) out of ten (10) hypotheses were supported. On the subject of the core PCM, H2 (locatability ${\rightarrow}$ intention to use LBA) and H3 (privacy risks ${\rightarrow}$ intention to use LBA) were supported, while H1 (personalization ${\rightarrow}$ intention to use LBA) was not supported. Further, we could not any interaction effects (personalization X privacy risks, H4 & locatability X privacy risks, H5) on the intention to use LBA. In terms of privacy risks and trust, as mentioned above we found the significant negative influence from privacy risks on intention to use (H3), but positive influence from trust, which supported H6 (trust ${\rightarrow}$ intention to use LBA). The moderating effect of trust on the negative relationship between privacy risks and intention to use LBA was tested and confirmed by supporting H7 (privacy risks X trust ${\rightarrow}$ intention to use LBA). The two hypotheses regarding to the TAM, including H8 (perceived ease of use ${\rightarrow}$ perceived usefulness) and H9 (perceived ease of use ${\rightarrow}$ intention to use LBA) were supported; however, H10 (perceived effectiveness ${\rightarrow}$ intention to use LBA) was not supported. Results of this study offer the following key findings and implications. First the application of PCM was found to be a good analysis framework in the context of LBA adoption. Many of the hypotheses in the model were confirmed and the high value of $R^2$ (i.,e., 51%) indicated a good fit of the model. In particular, locatability and privacy risks are found to be the appropriate PCM-based antecedent variables. Second, the existence of moderating effect of trust on service provider suggests that the same marginal change in the level of privacy risks may differentially influence the intention to use LBA. That is, while the privacy risks increasingly become important social issues and will negatively influence the intention to use LBA, it is critical for LBA providers to build consumer trust and confidence to successfully mitigate this negative impact. Lastly, we could not find sufficient evidence that the intention to use LBA is influenced by perceived usefulness, which has been very well supported in most previous TAM research. This may suggest that more future research should examine the validity of applying TAM and further extend or modify it in the context of LBA or other similar smartphone apps.

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