• Title/Summary/Keyword: composite data points

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Dynamic increase factor for progressive collapse analysis of semi-rigid steel frames

  • Zhu, Yan Fei;Chen, Chang Hong;Yao, Yao;Keer, Leon M.;Huang, Ying
    • Steel and Composite Structures
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    • v.28 no.2
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    • pp.209-221
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    • 2018
  • An empirical and efficient method is presented for calculating the dynamic increase factor to amplify the applied loads on the affected bays of a steel frame structure with semi-rigid connections. The nonlinear static alternate path analysis is used to evaluate the dynamic responses. First, the polynomial models of the extended end plate and the top and seat connection are modified, and the proposed polynomial model of the flush end plate connection shows good agreement as compared with experimental results. Next, a beam model with nonlinear spring elements and plastic hinges is utilized to incorporate the combined effect of connection flexibility and material nonlinearity. A new step-by-step analysis procedure is established to obtain quickly the dynamic increase factor based on a combination of the pushdown analysis and nonlinear dynamic analysis. Finally, the modified dynamic increase factor equation, defined as a function of the maximum ratio value of energy demand to energy capacity of an affected beam, is derived by curve fitting data points generated by the different analysis cases with different column removal scenarios and five types of semi-rigid connections.

Mechanics of a variable damping self-centering brace: Seismic performance and failure modes

  • Xie, Xing-Si;Xu, Long-He;Li, Zhong-Xian
    • Steel and Composite Structures
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    • v.31 no.2
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    • pp.149-158
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    • 2019
  • The force-deformation behavior, strain distribution and failure modes of a variable damping self-centering brace (VD-SCB) are theoretically analyzed, experimentally studied, and numerically simulated to guide its design. The working principle of the brace is explained by describing the working stages and the key feature points of the hysteretic curve. A large-scale brace specimen was tested under different sinusoidal excitations to analyze the recentering capability and energy dissipation. Results demonstrate that the VD-SCB exhibits a full quasi-flag-shaped hysteretic response, high ultimate bearing capacity, low activation force and residual deformation, and excellent recentering and energy dissipation capabilities. Calculation equations of the strain distribution in different parts of the brace are proposed and are compared with the experimental data and simulated results. The developments of two failure modes are compared. Under normal circumstances, the brace fails due to the yielding of the spring blocking plates, which are easily replaced to restore the normal operating conditions of the brace. A brief description of the design procedure of the brace is proposed for application.

SURFACE ROUGHNESS OF EXPERIMENTAL COMPOSITE RESINS USING CONFOCAL LASER SCANNING MICROSCOPE (공초점 레이저 주사 현미경을 이용한 실험적 레진의 표면 조도에 대한 연구)

  • Bae, J.H.;Lee, M.A.;Cho, B.H.
    • Restorative Dentistry and Endodontics
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    • v.33 no.1
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    • pp.1-8
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    • 2008
  • The purpose of this study was to evaluate the effect of a new resin monomer, filler size and polishing technique on the surface roughness of composite resin restorations using confocal laser scanning microscopy. By adding new methoxylated Bis-GMA (Bis-M-GMA, 2,2-bis[4-(2-methoxy-3-methacryloyloxy propoxy) phenyl] propane) having low viscosity, the content of TEGDMA might be decreased. Three experimental composite resins were made: EX1 (Bis-M-GMA/TEGDMA = 95/5 wt%, 40 nm nanofillers); EX2 (Bis-M-GMA/TEGDMA = 95/5 wt%, 20 nm nanofillers); EX3 (Bis-GMA/TEGDMA = 70/30 wt%, 40 nm nanofillers). Filtek Z250 was used as a reference. Nine specimens (6 mm in diameter and 2 mm in thickness) for each experimental composite resin and Filtek Z250 were fabricated in a teflon mold and assigned to three groups. In Mylar strip group, specimens were left undisturbed. In Sof-lex group, specimens were ground with #1000 SiC paper and polished with Sof-lex discs. In DiaPolisher group, specimens were ground with #1000 SiC paper and polished with DiaPolisher polishing points. The Ra (Average roughness), Rq (Root mean square roughness), Rv (Valley roughness), Rp (Peak roughness), Rc (2D roughness) and Sc (3D roughness) values were determined using confocal laser scanning microscopy. The data were statistically analyzed by Two-way ANOVA and Tukey multiple comparisons test (p = 0.05). The type of composite resin and polishing technique significantly affected the surface roughness of the composite resin restorations (p < 0.001). EX3 showed the smoothest surface compared to the other composite resins (p < 0.05). Mylar strip resulted in smoother surface than other polishing techniques (p < 0.05). Bis-M-GMA. a new resin monomer having low viscosity, might reduce the amount of diluent, but showed adverse effect on the surface roughness of composite resin restorations.

ADMM algorithms in statistics and machine learning (통계적 기계학습에서의 ADMM 알고리즘의 활용)

  • Choi, Hosik;Choi, Hyunjip;Park, Sangun
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1229-1244
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    • 2017
  • In recent years, as demand for data-based analytical methodologies increases in various fields, optimization methods have been developed to handle them. In particular, various constraints required for problems in statistics and machine learning can be solved by convex optimization. Alternating direction method of multipliers (ADMM) can effectively deal with linear constraints, and it can be effectively used as a parallel optimization algorithm. ADMM is an approximation algorithm that solves complex original problems by dividing and combining the partial problems that are easier to optimize than original problems. It is useful for optimizing non-smooth or composite objective functions. It is widely used in statistical and machine learning because it can systematically construct algorithms based on dual theory and proximal operator. In this paper, we will examine applications of ADMM algorithm in various fields related to statistics, and focus on two major points: (1) splitting strategy of objective function, and (2) role of the proximal operator in explaining the Lagrangian method and its dual problem. In this case, we introduce methodologies that utilize regularization. Simulation results are presented to demonstrate effectiveness of the lasso.

Development of the KOSPI (Korea Composite Stock Price Index) forecast model using neural network and statistical methods) (신경 회로망과 통계적 기법을 이용한 종합주가지수 예측 모형의 개발)

  • Lee, Eun-Jin;Min, Chul-Hong;Kim, Tae-Seon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.5
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    • pp.95-101
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    • 2008
  • Modeling of stock prices forecast has been considered as one of the most difficult problem to develop accurately since stock prices are highly correlated with various environmental conditions including economics and political situation. In this paper, we propose a agent system approach to predict Korea Composite Stock Price Index (KOSPI) using neural network and statistical methods. To minimize mean of prediction error and variation of prediction error, agent system includes sub-agent modules for feature extraction, variables selection, forecast engine selection, and forecasting results analysis. As a first step to develop agent system for KOSPI forecasting, twelve economic indices are selected from twenty two basic standard economic indices using principal component analysis. From selected twelve economic indices, prediction model input variables are chosen again using best-subsets regression method. Two different types data are tested for KOSPI forecasting and the Prediction results showed 11.92 points of root mean squared error for consecutive thirty days of prediction. Also, it is shown that proposed agent system approach for KOSPI forecast is effective since required types and numbers of prediction variables are time-varying, so adaptable selection of modeling inputs and prediction engine are essential for reliable and accurate forecast model.

Spatial Analysis by Matching Methods using Elevation data of Aerophoto and LIDAR (항공사진과 LIDAR 표고 데이터의 매칭 기법에 의한 공간정보 분석 연구)

  • Yeon, sang-ho;Lee, Young-wook
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.449-452
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    • 2008
  • The building heights of big cities which charged with most space are 3-D information as relative vertical distance from ground control points, but they didn't know the heights using contour with maps as lose of skyline or building heights for downtown, practically continuously developed of many technology methods for implementation of 3-D spatial earth. So, For the view as stereos of variety earth form generated 3-D spatial and made terrain perspective map, 3-D simulated of regional and urban space as aviation images. In this papers, it composited geospatial informations and images by DEM generation, and developed and presented for techniques overlay of CAD data and photos captured at our surroundings uses. Particularly, The airborne LiDAR surveying which are very interesting trend have laser scanning sensor and determine the ground heights through detecting angle and range to the grounds, and then designated 3-D spatial composite and simulation from urban areas. Therefore in this papers are suggested ease selections on the users situation by compare as various simulations that its generation of 3-D spatial image by collective for downtown space and urban sub, and the implementation methods for more accurate, more select for the best images.

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Efficiency Evaluation of Mobile Emission Reduction Countermeasures Using Data Envelopment Analysis Approach (자료포락분석(DEA) 기법을 활용한 도로이동오염원 저감대책의 효율성 분석)

  • Park, Kwan Hwee;Lee, Kyu Jin;Choi, Keechoo
    • Journal of Korean Society of Transportation
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    • v.32 no.2
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    • pp.93-105
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    • 2014
  • This study evaluated the relative efficiency of mobile emission reduction countermeasures through a Data Envelopment Analysis (DEA) approach and determined the priority of countermeasures based on the efficiency. Ten countermeasures currently applied for reducing greenhouse gases and air pollution materials were selected to make a scenario for evaluation. The reduction volumes of four air pollution materials(CO, HC, NOX, PM) and three greenhouse gases($CO_2$, $CH_4$, $N_2O$) for the year 2027, which is the last target year, were calculated by utilizing both a travel demand forecasting model and variable composite emission factors with respect to future travel patterns. To estimate the relative effectiveness of reduction countermeasures, this study performed a super-efficiency analysis among the Data Envelopment Analysis models. It was found that expanding the participation in self car-free day program was the most superior reduction measurement with 1.879 efficiency points, followed by expansion of exclusive bus lanes and promotion of CNG hybrid bus diffusion. The results of this study do not represent the absolute data for prioritizing reduction countermeasures for mobile greenhouse gases and air pollution materials. However, in terms of presenting the direction for establishing reduction countermeasures, this study may contribute to policy selection for mobile emission reduction measures and the establishment of systematic mid- and long-term reduction measures.

The Effects of Traditional and Reversed Sex-Typed VTR Programs on Preschool Children's Sex Role Stereotypes (전형적·비전형적 성역할 VTR 프로그램이 유아의 성역할 고정관념에 미치는 효과)

  • Hong, Yeon Ae;Chung, Ock Boon
    • Korean Journal of Child Studies
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    • v.14 no.1
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    • pp.39-57
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    • 1993
  • The primary purpose of this study was to develop an educational tool that can be used in teaching young children about different types of sex roles. The secondary purpose was to observe and analyze the effects of watching different sex role video programs on preschool children's sex role stereotypes and to determine the lasting effects. The subjects of this study were 89 six year-old kindergarten children, forty five were girls and forty-four boys. Each child was interviewed individually and tested at three different points in time: 1 week before the treatment, immediately after the treatment, and 4 weeks after the treatment. Three different statistical procedures were used in analyzing the data: ANOVAs for sex differences in sex role stereotypes. ANCOVAs for the different effects of traditional sex role programs and reversed sex-typed sex role programs, and ANCOVAs and Lindquist type III ANOVAs for the lasting effects of the treatment. The findings of the study indicated that (1) the children showed sex differences in the scores of sex role stereotypes of own, opposite sex and child activity; (2) there were differences in the scores of sex role stereotypes in terms of own and opposite sex. That is, viewing the reversed sex-typed programs caused a decrease in children's sex role stereotypes; and (3) the traditional and reversed sex-typed sex role programs tested four weeks after treatment showed significant lasting effects of sex role stereotypes in terms of opposite, composite and adult activity. In conclusion, the results of this study suggest that the sex stereotypes of kindergarten children can be changed through sex role VTR programs.

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Self-Sensing Actuator Using an Ion-Polymer Metal Composite Based on a Neural Network Model (뉴럴네트워크 모델 기반의 IPMC 셀프 센싱 액추에이터)

  • Yoon, Jong-Il;Truong, Dinh Quang;Ahn, Kyoung-Kwan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.12
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    • pp.1865-1870
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    • 2010
  • We develop an IPMC actuator with self-sensing behavior based on an accurate neural network model (NNM). The supplied voltage and voltage signals measured at two determined points on both sides of the IPMC sheet are used as inputs to the NNM. A CCD laser displacement sensor is installed in the rig for accurate measurement of the IPMC tip displacement that is used as the training output of the proposed NNM. Consequently, the NNM model is used to estimate the IPMC tip displacement; the NNM parameters are optimized by the collected input/output training data. The effectiveness of the model for the IPMC actuator is then verified by modeling results.

The effects of beam-column connections on behavior of buckling-restrained braced frames

  • Hadianfard, Mohammad Ali;Eskandari, Fateme;JavidSharifi, Behtash
    • Steel and Composite Structures
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    • v.28 no.3
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    • pp.309-318
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    • 2018
  • Buckling Restrained Braced (BRB) frames have been widely used as an efficient seismic load resisting system in recent years mostly due to their symmetric and stable hysteretic behavior and significant energy dissipation capacity. In this study, to provide a better understanding of the behavior of BRB frames with various beam-column connections, a numerical study using non-linear finite element (FE) analysis is conducted. All models are implemented in the Abaqus software package following an explicit formulation. Initially, the results of the FE model are verified with experimental data. Then, diverse beam-column connections are modeled for the sake of comparison from the shear capacity, energy dissipation and frame hysteresis behavior points of view until appropriate performance is assessed. The considered connections are divided into three different categories: (1) simple beam-column connections including connection by web angle and connection by seat angle; (2) semi-rigid connection including connection by web and seat angles; and (3) rigid beam-column connections by upper-lower beam plates and beam connections with web and flange splices. Results of the non-linear FE analyses show that these types of beam-column connections have little effect on the maximum story drift and shear capacity of BRB frames. However, the connection type has a significant effect on the amount of energy dissipation and hysteresis behavior of BRB frames. Also, changes in length and thickness of the angles in simple and semi-rigid connections and changes in length and thickness of plates in rigid connections have slight effects (less than 4%) on the overall frame behavior.