• 제목/요약/키워드: Structural Feature

검색결과 612건 처리시간 0.173초

Structural Design on Small Scale Sandwich Composite Wind Turbine Blade

  • Seongjin Ahn;Hyunbum Park
    • International Journal of Aerospace System Engineering
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    • 제10권2호
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    • pp.1-4
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    • 2023
  • Even though the recent development trend of wind turbine systems has been focused on larger MW Classes, the small-scale wind turbine system has been continuously developed because it has some advantages due to easy personnel establishment and use with low cost and energy saving effect. This work is to propose a specific structural design and analysis procedure for development of a low noise 500W class small wind turbine system which will be applicable to relatively low wind speed region like Korea. The proposed structural feature has a skin-spar-foam sandwich composite structure with the E-glass/Epoxy face sheets and the Urethane foam core for lightness, structural stability, low manufacturing cost and easy manufacturing process. Moreover this type of structure has good behaviors for reduction of vibration and noise. Structural analysis including load cases, stress, deformation, buckling and vibration was performed using the Finite Element Method. In order to evaluate the designed blade structure the structural tests were done, and their test results were compared with the estimated results.

Damage detection of shear buildings through structural mass-stiffness distribution

  • Liang, Yabin;Li, Dongsheng;Song, Gangbing;Zhan, Chao
    • Smart Structures and Systems
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    • 제19권1호
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    • pp.11-20
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    • 2017
  • For structural damage detection of shear buildings, this paper proposes a new concept using structural element mass-stiffness vector (SEMV) based on special mass and stiffness distribution characteristics. A corresponding damage identification method is developed combining the SEMV with the cross-model cross-mode (CMCM) model updating algorithm. For a shear building, a model is assumed at the beginning based on the building's distribution characteristics. The model is updated into two models corresponding to the healthy and damaged conditions, respectively, using the CMCM method according to the modal parameters of actual structure identified from the measured acceleration signals. Subsequently, the structural SEMV for each condition can be calculated from the updated model using the corresponding stiffness and mass correction factors, and then is utilized to form a new feature vector in which each element is calculated by dividing one element of SEMV in health condition by the corresponding element of SEMV in damage condition. Thus this vector can be viewed as a damage detection feature for its ability to identify the mass or stiffness variation between the healthy and damaged conditions. Finally, a numerical simulation and the laboratory experimental data from a test-bed structure at the Los Alamos National Laboratory were analyzed to verify the effectiveness and reliability of the proposed method. Both simulated and experimental results show that the proposed approach is able to detect the presence of structural mass and stiffness variation and to quantify the level of such changes.

국내 대공간 건축의 발달과정과 건립특성에 관한 연구 (A Study on the Establishment Feature and the Development of Large Space Buildings in Korea)

  • 이주나
    • 한국공간구조학회논문집
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    • 제9권2호
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    • pp.65-75
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    • 2009
  • 스팬 30m 이상을 갖는 건축물로 한정하여, 1960년대 이후 건립된 국내 공공 대공간 건축물의 발달과정과 건립특성에 대하여 연구하였다. 국내 대공간 건축의 용도와 규모의 현황을 살펴보고 구조방식이 건립된 건축물에 미치는 영향을 살펴보고자 한 것이다. 연구결과, 1980년대-90년대에는 스팬 40-70m 규모의 체육시설이 집중적으로 건립되었으나 2000년 이후에는 용도가 다양화되면서 대규모의 컨벤션센터 건립이 다수 이루어지고 있는 것으로 나타났다. 또한 초기 독특한 구조형태와는 달리 80년대에는 입체트러스가 보편적으로 활용되었고, 2000년 이후에는 형태효과를 고려하여 구조체를 고안하거나 새로운 구조시스템을 활용하는 시도가 보여지고 있다.

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Flavonoids Differentially Modulate Nitric Oxide Production Pathways in Lipopolysaccharide-Activated RAW264.7 Cells

  • Kim Ae Ra;Cho Jae Youl;Zou Yani;Choi Jae Sue;Chung Hae Young
    • Archives of Pharmacal Research
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    • 제28권3호
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    • pp.297-304
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    • 2005
  • Naturally occurring flavonoids are known to modulate various inflammatory and immune processes. Based on structural property, in this study, molecular mechanism of flavonoids in modulating nitric oxide (NO) production and its signaling pathway were investigated using lipopolysaccharide (LPS)-activated RAW264.7 cells. Although flavonol-typed flavonoids (kaempferol and quercetin) more potently scavenged reactivity of nitric oxide ($\cdot$NO) as well as peroxynitrite (ONOO$\kappa$) than isoflavones (genistein and genistin), kaempferol, quercetin and genistein showed a little difference in inhibition of both inducible NO synthase expression and NO production, with IC$_{50}$ values of 13.9, 20.1 and 26.8 $\mu$M. However, there was a striking pattern related to structural feature in modulation of LPS-mediated signaling pathways. Thus, flavonols only inhibited transcription factor AP-1 activation, whereas isoflavones suppressed the DNA binding activation of NF-$\kappa$B and C/EBP$\beta$. Therefore, these data suggest that structural feature may be linked to decide drugs target molecule in LPS-mediated signaling pathways, rather than its potency.

구조 부재의 형상적 특성 기반의 실내 포인트 클라우드 데이터의 표준화 알고리즘 개발 (Development of Standardization Algorithm for Indoor Point Cloud Data Based on the Geometric Feature of Structural Components)

  • 오상민;차민수;조훈희
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2023년도 봄 학술논문 발표대회
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    • pp.345-346
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    • 2023
  • As the shape and size of detectable objects diversifying recognition and segmentation algorithms have been developed to acquire accurate shape information. Although a high density of data captured by the repetition of scanning improves the accuracy of algorithms the high dense data decreases the efficiency due to its large size. This paper proposes standardization algorithms using the feature of structural members on indoor point cloud data to improve the process. First of all we determine the reduction rate of the density based on the features of the target objects then the data reduction algorithm compresses the data based on the reduction rate. Second the data arrangement algorithm rotates the data until the normal vector of data is aligned along the coordinate axis to allow the following algorithms to operate properly. Final the data arrangement algorithm separates the rotated data into their leaning axis. This allows reverse engineering of indoor point clouds to obtain the efficiency and accuracy of refinement processes.

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한글의 형태적 특성을 이용한 한글 문서 압축 기법에 관한 연구 (A Study on Hangul Text Compressing Using the Structural Feature of Hangul)

  • 이기석;김유성
    • 한국정보처리학회논문지
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    • 제3권5호
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    • pp.1294-1306
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    • 1996
  • 본 논문에서는 한글 문서에 대해 높은 압축률을 얻기 위해 한글의 형태적 특징인 조사와 어말어미의 출현 빈도를 이용한 효율적인 한글 문서 압축 기법들을 제안하였으며 제안된 기법들의 성능 분석을 위하여 기존의 압축 기법들과 압축률을 비교 분석하였다. 한글 문서에서 조사와 어말어미가 반복적으로 출현한다는 형태적인 특성으로부터 높은 압축률을 얻기 위해 출현 빈도가 상대적으로 높은 64개의 조사 및 어말어미를 선정 하여 고정 사전을 구성하고, 이를 이용하여 한글 문서를 압축하도록 기존의 LZ77기법과 LZW기법을 수정하여 각각 HLZ77기법과 HLZW기법을 제안하였다. 또한, 본 연구에서는 수정 제안된 HLZ77기법과 HLZW기법의 성능을 분석하기 위하여 4가지 기법을 실 제 재현하여 여러 형태의 한글 문서를 대상으로 압축률을 비교하였다. 성능 결과로 부터 일반적인 한글 문서에 대해 한글의 형태적인 특성을 이용하는 HLZ77기법과 HLZW 기법이 각각 LZ77기법과 LZW기법 보다 우수한 압축률을 나타냄을 알 수 있었다.

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Non-Gaussian feature of fluctuating wind pressures on rectangular high-rise buildings with different side ratios

  • Jia-hui Yuan;Shui-fu Chen;Yi Liu
    • Wind and Structures
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    • 제37권3호
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    • pp.211-227
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    • 2023
  • To investigate the non-Gaussian feature of fluctuating wind pressures on rectangular high-rise buildings, wind tunnel tests were conducted on scale models with side ratios ranging from 1/9~9 in an open exposure for various wind directions. The high-order statistical moments, time histories, probability density distributions, and peak factors of pressure fluctuations are analyzed. The mixed normal-Weibull distribution, Gumbel-Weibull distribution, and lognormal-Weibull distribution are adopted to fit the probability density distribution of different non-Gaussian wind pressures. Zones of Gaussian and non-Gaussian are classified for rectangular buildings with various side ratios. The results indicate that on the side wall, the non-Gaussian wind pressures are related to the distance from the leading edge. Apart from the non-Gaussianity in the separated flow regions noted by some literature, wind pressures behind the area where reattachment happens present non-Gaussian nature as well. There is a new probability density distribution type of non-Gaussian wind pressure which has both long positive and negative tail found behind the reattachment regions. The correlation coefficient of wind pressures is proved to reflect the non-Gaussianity and a new method to estimate the mean reattachment length of rectangular high-rise building side wall is proposed by evaluating the correlation coefficient. For rectangular high-rise buildings, the mean reattachment length calculated by the correlation coefficient method along the height changes in a parabolic shape. Distributions of Gaussian and non-Gaussian wind pressures vary with side ratios. It is inappropriate to estimate the extreme loads of wind pressures using a fixed peak factor. The trend of the peak factor with side ratios on different walls is given.

Wind-induced vibration characteristics and parametric analysis of large hyperbolic cooling towers with different feature sizes

  • Ke, Shitang;Ge, Yaojun;Zhao, Lin;Tamura, Yukio
    • Structural Engineering and Mechanics
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    • 제54권5호
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    • pp.891-908
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    • 2015
  • For a systematic study on wind-induced vibration characteristics of large hyperbolic cooling towers with different feature sizes, the pressure measurement tests are finished on the rigid body models of three representative cooling towers with the height of 155 m, 177 m and 215 m respectively. Combining the refined frequency-domain algorithm of wind-induced responses, the wind-induced average response, resonant response, background response, coupling response and wind vibration coefficients of large cooling towers with different feature sizes are obtained. Based on the calculating results, the parametric analysis on wind-induced vibration of cooling towers is carried out, e.g. the feature sizes, damping ratio and the interference effect of surrounding buildings. The discussion shows that the increase of feature sizes makes wind-induced average response and fluctuating response larger correspondingly, and the proportion of resonant response also gradually increased, but it has little effect on the wind vibration coefficient. The increase of damping ratio makes resonant response and the wind vibration coefficient decreases obviously, which brings about no effect on average response and background response. The interference effect of surrounding buildings makes the fluctuating response and wind vibration coefficient increased significantly, furthermore, the increase ranges of resonant response is greater than background response.

Factors Influencing Experiential Value Toward Using Cosmetic AR Try-on Feature in Thailand

  • VONGURAI, Rawin
    • 유통과학연구
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    • 제19권1호
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    • pp.75-87
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    • 2021
  • Purpose: The objective of this research is to identify the core aspects of persuasive factors influencing consumer's experiential value towards using Augmented Reality (AR) try-on feature while shopping cosmetic products online. The conceptual framework of this study is adopted and integrated from the theoretical study on how narrative experience, media richness, and presence affect the formation of experiential value in the augmented reality interactive technology (ARIT) process. Research design, data and methodology: The sample (n = 550) were collected from online and offline questionnaires by using stratified random sampling and purposive sampling methods. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze the data to confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicated that media richness induced higher experiential value (consumer ROI, playfulness, service excellence and aesthetics), followed by narrative experience and presence towards using AR try-on feature. Conclusions: Consumer's experiential value towards using AR try-on feature when shopping cosmetic products online rely on media richness, narrative experience and presence respectively. Therefore, marketing practitioners are recommended to develop the feature design and content to be more useful, authentic, user-friendly and entertaining to better connect and provide confidence to consumers when shopping cosmetics online.

특징 공간상에서 의 확률적 해석에 기반한 부분 인식 기법에 관한 연구 (A partially occluded object recognition technique using a probabilistic analysis in the feature space)

  • 박보건;이경무;이상욱;이진학
    • 한국통신학회논문지
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    • 제26권11A호
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    • pp.1946-1956
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    • 2001
  • 본 논문에서는 관계 벡터 공간상의 특징 대응에 관한 확률적 해석에 기반한 새로운 부분 인식 기법을 제안한다. 효과적인 인식을 위해 물체를 관계 속성 그래프(Attributed Relational Graph; ARG)와 관계 벡터 공간들의 집합으로 표현한다. 또한 잡음이나 특징 소실로 인한 왜곡을 관계 벡터 공간에서의 관계 벡터 분포에 대한 왜곡으로 확률적으로 모델링한다. 제안하는 부분 인식 기법은 두 단계로 이루어진다. 우선 지역적인 특징(local feature)과 구조적인 일관성(structural consistency)을 사용하여 후보집합을 추출한다. 이렇게 추출된 후보집합 각각에 대해 관계 벡터 공간상에서의 에러 분석과 반복적인 voting 알고리즘을 통해 특징 소실을 검출한다. 실제 영상에 대한 실험 결과를 통해 제안한 알고리즘이 잡음이나 가리어짐이 심한 경우에도 강건한 성능을 보임을 알 수 있으며, 릴렉세이션(relaxation) 기법과 수행 시간 비교 분석을 통해 계산량 측면에서의 성능 향상을 확인할 수 있다.

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