• Title/Summary/Keyword: Y-deflection

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A Study on the Development of High Performance Interlayer Soundproofing Material Considering Long Term Deflection (장기처짐을 고려한 고성능 층간차음재 개발에 관한 연구)

  • Yang, Jin-Kook;Hong, Seong-Wook;Kang, Hyun-woo;Park, Young-Duk;Lim, Nam-Gi
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.107-108
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    • 2019
  • The interlayer noise of the apartment house is a typical problem that reduces the quality of the residential environment. Therefore, many researchers have developed soundproofing materials that blocks noise between floors. However, most development technologies do not have the noise cut-off effect felt by residents, and may also have a defect in long-term deflection. In this respect, this study developed high-performance interlayer soundproofing material that can overcome existing problems. The developed technology has the noise reduction effect experienced by the residents and it has high durability without long-term deflection. Therefore, high-performance interlayer soundproofing material is expected to contribute to reducing disputes over noise between floors of apartment residents.

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Machining Error Compensation for Tool Deflection in Micro Slot-Cutting Processes for Fabrication of Micro Shapes (미세형상 가공을 위한 Micro Slot 가공에서의 공구변형에 의한 가공오차 보상)

  • Sohn, Jong-In;Yoon, Gil-Sang;Seo, Tae-Il
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.2
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    • pp.121-127
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    • 2008
  • Micro end-milling has been becoming an important machining process to manufacture a number of small products such as micro-devices, bio-chips, micro-patterns and so on. Despite the importance of micro end-milling, many related researches have given grand efforts to micro end-milling phenomenon, for example, micro end-milling mechanism, cutting force modeling and machinability. This paper strongly concerned actual problem, micro tool deflection, which causes excessive machining errors on the workpiece. To solve this problem, machining error prediction method was proposed through a series of test micro cutting and analysis of their SEM images. An iterative algorithm was applied in order to obtain corrected tool path which allows reducing machining errors in spite of tool deflection. Experiments are carried out to validate the proposed approaches. In result, remarkable error reduction could be obtained.

Transverse Strength of Oli Tanker Using S.D.M (Slope-Deflection Method에 의한 유조선의 횡강도 해석)

  • S.J.,Yim;S.J.,Kang
    • Bulletin of the Society of Naval Architects of Korea
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    • v.22 no.4
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    • pp.17-27
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    • 1985
  • In this paper, an approximate calculation method on the transverse strength of oil tankers by use of slop-deflection method os described which considers the effect of shear deflection and varing section in elements and the result of calculation in models and actual ships, is presented. The object of this paper is focused on the development of program which can be used widely regardless strut numbers in transverse frame rings. To examine the reliability of the above method, the results in this paper are compared with the results which are obtained by use of SAP4(Structure Analysis Program) based on finite element method. The application of the Slope-Deflection Method on the transverse strength of oil tankers has the advantage that this method takes less than the other methods in calculation.

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Improved Damage-Induced Deflection Method for Damage Detection of Shear Building structures (전단빌딩 구조물의 손상탐지를 위한 개선된 Damage-Induced Deflection 방법)

  • Sung, Seung-Hun;Park, Jong-Woong;Jung, Hyung-Jo;Koo, Ki-Young
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.795-798
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    • 2010
  • 본 논문에서는 상사진동에서의 응답을 통해 구성된 모드유연도에 의해 추정되는 손상유발 변위를 이용하여 전당빌딩의 손상을 탐지하는 진동기반의 손상탐지 방법을 제시하였다. 이 방법은 전단빌딩의 층간변위를 활용하여 오직 손상이 존재할 때에만 발생하는 Damage-induced inter-story deflection (DI-ID)을 통해 손상탐지를 수행하는 방법이다. 구조물의 전체 자유도에 양의 전단력을 발생시킴으로써 층간변위를 분명히 파악할 수 있도록 하는 양전단력 탐색하중(Positive Shear Inspection Load)을 통해 DI-ID를 산정한다. 제안된 방법의 검증을 위해 5층의 전단빌딩 축소모형을 대상구조물로 선정하여 수치모의실험을 수행했다. 단일손상과 다중손상의 모사를 위해 1층과 3층의 휨강성을 각각 10% 씩 저감시켰고, 수치모의실험 결과, 단일손상과 다중손상 모두 정확히 손상발생 구역을 확인했다.

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A numerical analysis of the large deflection of an elastoplastic cantilever

  • Wang, B.;Lu, G.;Yu, T.X.
    • Structural Engineering and Mechanics
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    • v.3 no.2
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    • pp.163-172
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    • 1995
  • A simple numerical method is applied to calculate the large deflection of a cantilever beam under an elastic-plastic deformation by dividing the deformed axis into a number of small segments. Assuming that each segment can be approximated as a circular arc, the method allows large deflections and plastic deformation to be analyzed. The main interests are the load-deflection relationship, curvature distribution along the beam and the length of the plastic region. The method is proved to be easy and particularly versatile. Comparisons with other studies are given.

Modeling of Mechanical Behavior of Microcantilever due to Intrinsic Strain during Deposition

  • Kim Sang-Hyun;Mani Sathyanarayanan;Boyd James G. IV
    • Journal of Mechanical Science and Technology
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    • v.20 no.10
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    • pp.1646-1652
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    • 2006
  • A model of mechanical behavior of microcantilever due to intrinsic strain during deposition of MEMS structures is derived. A linear ordinary differential equation is derived for the beam deflection as a function of the thickness of the deposited layer. Closed-form solutions are not possible, but numerical solutions are plotted for various dimensionless ratios of the beam stiffness, the intrinsic strain, and the elastic moduli of the substrate and deposited layer. This model predicts the deflection of the cantilever as a function of the deposited layer thickness and the residual stress distribution during deposition. The usefulness of these equations is that they are indicative of the real time behavior of the structures, i.e. it predicts the deflection of the beam continuously during deposition process.

Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams

  • Mohammadhassani, Mohammad;Nezamabadi-pour, Hossein;Jumaat, Mohd Zamin;Jameel, Mohammed;Arumugam, Arul M.S.
    • Computers and Concrete
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    • v.11 no.3
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    • pp.237-252
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    • 2013
  • This paper presents the application of artificial neural network (ANN) to predict deep beam deflection using experimental data from eight high-strength-self-compacting-concrete (HSSCC) deep beams. The optimized network architecture was ten input parameters, two hidden layers, and one output. The feed forward back propagation neural network of ten and four neurons in first and second hidden layers using TRAINLM training function predicted highly accurate and more precise load-deflection diagrams compared to classical linear regression (LR). The ANN's MSE values are 40 times smaller than the LR's. The test data R value from ANN is 0.9931; thus indicating a high confidence level.

The Stiffness Analysis of Circular Plate Regarding the Length of Supporting End Using Elastic Beam Theory (탄성보 이론을 적용한 원형평판의 지지단길이 변화에 따른 강성도 해석)

  • 한동섭;한근조;심재준;김태형
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.3
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    • pp.109-116
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    • 2004
  • This paper investigates the characteristics of deflection for circular plate that has same supporting boundary condition along the width direction of plate according to the length change of supporting end. For two boundary conditions such as simple supporting and clamping on both ends, this study derives maximum deflection formula of circular plate using differential equation of elastic curve, assuming that a circular plate is a beam with different widths along the longitudinal direction. The deflection formula of circular plate is verified by carrying out finite element analysis with regard to the ratio of length of supporting end to radius of circular plate.

Form Error Prediction in Side Wall Milling Considering Tool Deflection (측벽 엔드밀 가공에서 공구 변형을 고려한 형상 오차 예측)

  • 류시형;주종남
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.6
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    • pp.43-51
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    • 2004
  • A method for form error prediction in side wall machining with a flat end mill is suggested. Form error is predicted directly from the tool deflection without surface generation by cutting edge locus with time simulation. Developed model can predict the surface form error about three hundred times faster than the previous method. Cutting forces and tool deflection are calculated considering tool geometry, tool setting error and machine tool stiffness. The characteristics and the difference of generated surface shape in up milling and down milling are discussed. The usefulness of the presented method is verified from a set of experiments under various cutting conditions generally used in die and mold manufacturing. This study contributes to real time surface shape estimation and cutting process planning for the improvement of form accuracy.

Optimal layout of long-gauge sensors for deformation distribution identification

  • Zhang, Qingqing;Xia, Qi;Zhang, Jian;Wu, Zhishen
    • Smart Structures and Systems
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    • v.18 no.3
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    • pp.389-403
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    • 2016
  • Structural deflection can be identified from measured strains from long gague sensors, but the sensor layout scheme greatly influences on the accuracy of identified resutls. To determine the optimal sensor layout scheme for accurate deflection identification of the tied arch bridge, the method of optimal layout of long-gauge fiber optic sensors is studied, in which the characteristic curve is first developed by using the bending macro-strain curve under multiple target load conditions, then optimal sensor layout scheme with different number of sensors are determined. A tied arch bridge is studied as an example to verify the effectiveness and robustness of the proposed method for static and dynamic deflection identification.