• Title/Summary/Keyword: explicit analysis

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An improved 1D-model for computing the thermal behaviour of concrete dams during operation. Comparison with other approaches

  • Santillan, D.;Saleteb, E.;Toledob, M.A.;Granados, A.
    • Computers and Concrete
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    • v.15 no.1
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    • pp.103-126
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    • 2015
  • Thermal effects are significant loads for assessing concrete dam behaviour during operation. A new methodology to estimate thermal loads on concrete dams taking into account processes which were previously unconsidered, such as: the evaporative cooling, the night radiating cooling or the shades, has been recently reported. The application of this novel approach in combination with a three-dimensional finite element method to solve the heat diffusion equation led to a precise characterization of the thermal field inside the dam. However, that approach may be computationally expensive. This paper proposes the use of a new one-dimensional model based on an explicit finite difference scheme which is improved by means of the reported methodology for computing the heat fluxes through the dam faces. The improved model has been applied to a case study where observations from 21 concrete thermometers and data of climatic variables were available. The results are compared with those from: (a) the original one-dimensional finite difference model, (b) the Stucky-Derron classical one-dimensional analytical solution, and (c) a three-dimensional finite element method. The results of the improved model match well with the observed temperatures, in addition they are similar to those obtained with (c) except in the vicinity of the abutments, although this later is a considerably more complex methodology. The improved model have a better performance than the models (a) and (b), whose results present larger error and bias when compared with the recorded data.

Mechanical behavior of FRP confined steel tubular columns under impact

  • Liu, Qiangqiang;Zhou, Ding;Wang, Jun;Liu, Weiqing
    • Steel and Composite Structures
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    • v.27 no.6
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    • pp.691-702
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    • 2018
  • This paper presents experimental and analytical results of fiber reinforced polymer (FRP) confined steel tubular columns under transverse impact loads. Influences of applied impact energy, thickness of FRP jacket and impact position were discussed in detail, and then the impact responses of FRP confined steel tubes were compared with bare steel tubes. The test results revealed that the FRP jacket contributes to prevent outward buckling deformation of steel at the clamped end and inward buckling of steel at the impact position. For the given applied impact energy, specimens wrapped with one layer and three layers of FRP have the lower peak impact loads than those of the bare steel tubes, whereas specimens wrapped with five layers of FRP exhibit the higher peak impact loads. All the FRP confined steel tubular specimens displayed a longer duration time than the bare steel tubes under the same magnitude of impact energy, and the specimen wrapped with one layer of FRP had the longest duration time. In addition, increasing the applied impact energy leads to the increase of peak impact load and duration time, whereas increasing the distance of impact position from the clamped end results in the decrease of peak impact load and the increase of duration time. The dynamic analysis software Abaqus Explicit was used to simulate the mechanical behavior of FRP confined steel tubular columns, and the numerical results agreed well with the test data. Analytical solution for lateral displacement of an equivalent cantilever beam model subjected to impact load was derived out. Comparison of analytical and experimental results shows that the maximum displacement can be precisely predicted by the present theoretical model.

Dynamic Value Chain Modeling of Knowledge Management (지식경영의 동태적 가치사슬 모형 구축)

  • Lee, Young-Chan
    • The Journal of Information Systems
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    • v.17 no.3
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    • pp.205-233
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    • 2008
  • This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

Numerical and experimental investigation of the resistance performance of an icebreaking cargo vessel in pack ice conditions

  • Kim, Moon-Chan;Lee, Seung-Ki;Lee, Won-Joon;Wang, Jung-Yong
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.5 no.1
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    • pp.116-131
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    • 2013
  • The resistance performance of an icebreaking cargo vessel in pack ice conditions was investigated numerically and experimentally using a recently developed finite element (FE) model and model tests. A comparison between numerical analysis and experimental results with synthetic ice in a standard towing tank was carried out. The comparison extended to results with refrigerated ice to examine the feasibility of using synthetic ice. Two experiments using two different ice materials gave a reasonable agreement. Ship-ice interaction loads are numerically calculated based on the fluid structure interaction (FSI) method using the commercial FE package LS-DYNA. Test results from model testing with synthetic ice at the Pusan National University towing tank, and with refrigerated ice at the National Research Council's (NRC) ice tank, are used to validate and benchmark the numerical simulations. The designed ice-going cargo vessel is used as a target ship for three concentrations (90%, 80%, and 60%) of pack ice conditions. Ice was modeled as a rigid body but the ice density was the same as that in the experiments. The numerical challenge is to evaluate hydrodynamic loads on the ship's hull; this is difficult because LS-DYNA is an explicit FE solver and the FSI value is calculated using a penalty method. Comparisons between numerical and experimental results are shown, and our main conclusions are given.

A Development and Action Plan for the IS Curriculum based on Instructional System Design (교수체제설계 기법에 기반한 정보화 교육과정 개발 및 실행 방안: 신발업체를 대상으로)

  • Cha, Youn-Sook;Hwang, Seong-Woon;Hong, Soon-Goo
    • Journal of Korea Society of Industrial Information Systems
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    • v.10 no.2
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    • pp.1-12
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    • 2005
  • The objective of this study is to develop an IS curriculum and its action plan for footwear industry based on the Instructional System Design(ISD) that is widely used in curriculum developments. To this end, six steps, including a goal setting, analysis, design, development, implementation, and evaluation are employed. Firstly, the explicit goal of IS curriculum development is defined and demands of IS education from the footwear companies are identified with questionnaires and interviews. In the design stage, the IS curriculum map is presented. With this map, the specific IT courses are established, classified by a type of industry, a function, and a level of skills. For the implementations, such particular actions as a selection of textbooks, places, managing trainees, and a training support plan are explained. Finally, the various evaluation methods are presented. The suggested IS curriculum can be applied to IS educations for the footwear companies and other related industries.

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러프집합과 계층적 분류구조를 이용한 데이터마이닝에서 분류지식발견

  • Lee, Chul-Heui;Seo, Seon-Hak
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.3
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    • pp.202-209
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    • 2002
  • This paper deals with simplification of classification rules for data mining and rule bases for control systems. Datamining that extracts useful information from such a large amount of data is one of important issues. There are various ways in classification methodologies for data mining such as the decision trees and neural networks, but the result should be explicit and understandable and the classification rules be short and clear. The rough sets theory is an effective technique in extracting knowledge from incomplete and inconsistent data and provides a good solution for classification and approximation by using various attributes effectively This paper investigates granularity of knowledge for reasoning of uncertain concopts by using rough set approximations and uses a hierarchical classification structure that is more effective technique for classification by applying core to upper level. The proposed classification methodology makes analysis of an information system eary and generates minimal classification rules.

Analysis of Effect of Learning to Solve Word Problems through a Structure-Representation Instruction. (문장제 해결에서 구조-표현을 강조한 학습의 교수학적 효과 분석)

  • 이종희;김부미
    • School Mathematics
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    • v.5 no.3
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    • pp.361-384
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    • 2003
  • The purpose of this study was to investigate students' problem solving process based on the model of IDEAL if they learn to solve word problems of simultaneous linear equations through structure-representation instruction. The problem solving model of IDEAL is followed by stages; identifying problems(I), defining problems(D), exploring alternative approaches(E), acting on a plan(A). 160 second-grade students of middle schools participated in a study was classified into those of (a) a control group receiving no explicit instruction of structure-representation in word problem solving, and (b) a group receiving structure-representation instruction followed by IDEAL. As a result of this study, a structure-representation instruction improved word-problem solving performance and the students taught by the structure-representation approach discriminate more sharply equivalent problem, isomorphic problem and similar problem than the students of a control group. Also, students of the group instructed by structure-representation approach have less errors in understanding contexts and using data, in transferring mathematical symbol from internal learning relation of word problem and in setting up an equation than the students of a control group. Especially, this study shows that the model of direct transformation and the model of structure-schema in students' problem solving process of I and D stages.

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Evaluation of electrical impedance ratio measurements in accuracy of electronic apex locators

  • Kim, Pil-Jong;Kim, Hong-Gee;Cho, Byeong-Hoon
    • Restorative Dentistry and Endodontics
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    • v.40 no.2
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    • pp.113-122
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    • 2015
  • Objectives: The aim of this paper was evaluating the ratios of electrical impedance measurements reported in previous studies through a correlation analysis in order to explicit it as the contributing factor to the accuracy of electronic apex locator (EAL). Materials and Methods: The literature regarding electrical property measurements of EALs was screened using Medline and Embase. All data acquired were plotted to identify correlations between impedance and log-scaled frequency. The accuracy of the impedance ratio method used to detect the apical constriction (APC) in most EALs was evaluated using linear ramp function fitting. Changes of impedance ratios for various frequencies were evaluated for a variety of file positions. Results: Among the ten papers selected in the search process, the first-order equations between log-scaled frequency and impedance were in the negative direction. When the model for the ratios was assumed to be a linear ramp function, the ratio values decreased if the file went deeper and the average ratio values of the left and right horizontal zones were significantly different in 8 out of 9 studies. The APC was located within the interval of linear relation between the left and right horizontal zones of the linear ramp model. Conclusions: Using the ratio method, the APC was located within a linear interval. Therefore, using the impedance ratio between electrical impedance measurements at different frequencies was a robust method for detection of the APC.

Burden of Disease in Korea: Years of Life Lost due to Premature Deaths (조기사망에 따른 상실년수를 활용한 우리 나라 질병부담 추정 연구)

  • Myoung, Jae-Il;Shin, Young-Soo;Chang, Hye-Jung
    • Journal of Preventive Medicine and Public Health
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    • v.34 no.4
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    • pp.354-362
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    • 2001
  • Objectives : The aim of this study was to estimate the burden of disease through an analysis of Years of Life Lost due to premature deaths, one component of the Disability-Adjusted Life years (DALY). In addition, the cause of death statistics were adjusted to improve validity, and the results were compared with those of the Global Burden of Disease (GBD). Methods : In closely fellowing the approach taken in the original GBD study, most of the explicit assumptions and the value judgments were not changed. However, the statistics for some problematic concerns such as deaths of infants or those due to senility, were adjusted. Deaths, standard expected years of life lost (SEYLL), and potential years of life lost (PYLL) were computed using vital registration data compiled by the National Statistical Office. Results : The burden for males is 1.8 and 2.3 times higher than that for females, according to SEYLL and PYLL, respectively. The proportions of deaths due to Group I, II, and III causes are 5.4%, 80.4%, and 14.3%, respectively, for PYLL, but in a major shift from Group II to III they are 6.3%, 66.2%, and 27.5%, respectively, for SEYLL. The proportion of Group III causes in Korea, 27.5%, is extremely high when compared to 10.1% for the world, 7.6% for developed countries, and 10.7% for developing countries. Conclusions : Estimation results showed that the total burden due to premature deaths is smaller than that for the entire world but larger than that for developed countries. The disease structure of Korea has changed to resemble that of developed countries. Also, an overly large portion of the total burden in Korea stems from injuries arising from car accidents.

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The Role-Setting of Mathematical Education about Korean Populism (포퓰리즘에 대한 수학교육의 역할 연구)

  • Moon, Kwon-Bae
    • Communications of Mathematical Education
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    • v.23 no.3
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    • pp.849-862
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    • 2009
  • The goal of this study is to present essential methods of minimalizing Korean populism in our society through the investigation of relations between populism and mathematical education which people don't easily recognize. We made a thorough analysis on the populism-generating elements and then presented mathematical methods which could convert micro-way of thinking into macro-one. We believe that an explicit investigation of the relations between Korean populism and mathematical education and the ensuing appropriate role-setting of mathematical education would help secure an essential solution for minimalizing populism in our society.

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