• 제목/요약/키워드: Computational analysis modeling

검색결과 860건 처리시간 0.026초

Systems Biology - A Pivotal Research Methodology for Understanding the Mechanisms of Traditional Medicine

  • Lee, Soojin
    • Journal of Pharmacopuncture
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    • 제18권3호
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    • pp.11-18
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    • 2015
  • Objectives: Systems biology is a novel subject in the field of life science that aims at a systems' level understanding of biological systems. Because of the significant progress in high-throughput technologies and molecular biology, systems biology occupies an important place in research during the post-genome era. Methods: The characteristics of systems biology and its applicability to traditional medicine research have been discussed from three points of view: data and databases, network analysis and inference, and modeling and systems prediction. Results: The existing databases are mostly associated with medicinal herbs and their activities, but new databases reflecting clinical situations and platforms to extract, visualize and analyze data easily need to be constructed. Network pharmacology is a key element of systems biology, so addressing the multi-component, multi-target aspect of pharmacology is important. Studies of network pharmacology highlight the drug target network and network target. Mathematical modeling and simulation are just in their infancy, but mathematical modeling of dynamic biological processes is a central aspect of systems biology. Computational simulations allow structured systems and their functional properties to be understood and the effects of herbal medicines in clinical situations to be predicted. Conclusion: Systems biology based on a holistic approach is a pivotal research methodology for understanding the mechanisms of traditional medicine. If systems biology is to be incorporated into traditional medicine, computational technologies and holistic insights need to be integrated.

Impact Analysis of Motorcycle Helmet (모터싸이클 헬멧의 충격 해석)

  • Thai, Huu-Tai;Kim, Seung-Eock
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 한국전산구조공학회 2008년도 정기 학술대회
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    • pp.573-578
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    • 2008
  • Finite element analysis of impact response of a motorcycle helmet is presented in this paper. The finite element LS-DYNA3D code is used to simulate the impact response of the helmet including of plastic shell, foam liner, and magnesium headform. Since the maximum accelerations at center of gravity of the headform obtained by numerical analysis and experiment agree well, the numerical simulation is proved to be valid.

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Applications of artificial intelligence and data mining techniques in soil modeling

  • Javadi, A.A.;Rezania, M.
    • Geomechanics and Engineering
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    • 제1권1호
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    • pp.53-74
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    • 2009
  • In recent years, several computer-aided pattern recognition and data mining techniques have been developed for modeling of soil behavior. The main idea behind a pattern recognition system is that it learns adaptively from experience and is able to provide predictions for new cases. Artificial neural networks are the most widely used pattern recognition methods that have been utilized to model soil behavior. Recently, the authors have pioneered the application of genetic programming (GP) and evolutionary polynomial regression (EPR) techniques for modeling of soils and a number of other geotechnical applications. The paper reviews applications of pattern recognition and data mining systems in geotechnical engineering with particular reference to constitutive modeling of soils. It covers applications of artificial neural network, genetic programming and evolutionary programming approaches for soil modeling. It is suggested that these systems could be developed as efficient tools for modeling of soils and analysis of geotechnical engineering problems, especially for cases where the behavior is too complex and conventional models are unable to effectively describe various aspects of the behavior. It is also recognized that these techniques are complementary to conventional soil models rather than a substitute to them.

Shape Optimization of Structural Members Based on Isogeometry Concept (등기하 개념에 기초한 구조부재의 형상 최적화)

  • Lee, Joo-Sung
    • Journal of the Computational Structural Engineering Institute of Korea
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    • 제24권1호
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    • pp.61-67
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    • 2011
  • This study is concerned with the shape optimization of structural members frequently found in critical area in a structure system, that is, highly stressed zone. Isogeometry analysis is well known to be the very efficient way to integrate the geometric modeling(CAD) and computational analysis(CAE). This can be accomplished by directly using the geometric modeling by NURBS(Non-Uniform Rational Basis Spline). In this study, an efficient computer code adopting the isogeometry concept has been developed for the structural analysis, in which CAD information can be directly used in the finite element modeling. In order to show the validity of the present code, the present results are compared with those by using the commercial package, that is, MSC/NASTRAN. The present isogeometric analysis procedure has been integrated with the optimization procedure to deal with the optimization problem found in the context of structural mechanics. The present system has been successfully applied to the shape optimization of cantilever structure having bracket. From the present study, it can be seen the validity of the present approach and computer codes developed in this study. This paper ends with some discussions about the practical usefulness of the present approach which is based on isogeometry analysis, and extension of the present study.

User-friendly Web-based ezSIM Platform Development for SMBs (중소·중견기업을 위한 사용자 친화형 웹 기반 ezSIM 플랫폼 개발)

  • Yoon, Tae Ho;Park, Hyungwook;Sohn, Ilyoup;Hwang, Jae Soon;Seo, Dongwoo
    • Korean Journal of Computational Design and Engineering
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    • 제20권1호
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    • pp.65-74
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    • 2015
  • Structure and/or fluid analysis is gradually increased by an essential design process in the small and medium-sized businesses (SMBs) because of the needs for a rapid design process and the certification about the supplement of the parts by the large business (LB). In this paper, we developed the web-based ezSIM platform installed in the resources integrated system server. The ezSIM platform is based on the heterogeneous linux and windows operating system for the user-friendly connection with the part of the analysis for the SMBs. The procedure of the structure/fluid analysis service module using the public software and the license-free open code in the ezSIM platform was explained. The convenience of the ezSIM platform service was presented by the reaction rate of the graphic motion compared with that of a local PC and the solving and pre-post processing interface compared with that of the KISTI supercomputer. The web-based ezSIM platform service was identified as a useful and essential platform to the SMBs for the usage of the structure and/or fluid analysis procedure.

New laminate constitutive equations for analysing the mechanical behavior of anisotropic plates and shells

  • Mbangue Nzengwa Ekmon;Ngatcha Ndengna Arno Roland;Ngouanom Gnidakouong Joel Renaud;Nkongho Anyi Joseph;Nzengwa Robert
    • Computers and Concrete
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    • 제34권5호
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    • pp.591-609
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    • 2024
  • Two novel laminate constitutive equations (LCE) for the static analysis of anisotropic shells are presented and implemented in this work. The LCE, developed for both two-dimensional (2D) and three-dimensional (3D) analysis, are more general than those obtained using the Kirchhoff-Love (K-L) equations, Reissner-Minddlin (R-M) type models, refined 2D/3D models, and some general anisotropic doubly-curved shell theories. Our study presents a 2D LCE model that accounts for classical mechanical couplings based on previous models plus additional couplings including extensional-twisting-shearing, extensional-twisting, Gauss bending-twisting-shearing, and Gauss bending-shearing mechanical couplings related to the third fundamental, or Gauss tensor. Moreover, the developed 3D LCE model accounts for all 2D mechanical couplings cited above plus additional mechanical couplings due to the section warping tensor, which arises from the stretching-through-the-thickness variable. These mechanical couplings are pertinent to the optimal design of a composite and are often disregarded in various static and dynamic analysis studies. Neglecting these new mechanical couplings in the design and analysis of laminated composite shells (LCS) can result in significant errors, from both physical and mechanical viewpoint. As such, we recommend employing new complete constitutive relations that integrate these pertinent mechanical couplings for the aforementioned study. Based on our analysis of the impact of additional couplings, we have developed several mathematical formulations that address several challenges encountered in laminated shell theory. As we increase the shell's thickness ratio, our research examines the effects of these couplings on mechanical behavior, buckling shape, critical buckling pressure, and failure analysis through computational modelling and various tests. The examination of the thickness ratio of composite shells illustrates the contrast between our newly developed LCE and some existing LCE as the shells increase in thickness.

A Study for Thermal Mechanism of Residential Combustibles with Numerical Modeling (주거공간 단위가연물의 열역학적 수치해석 모델링에 관한 연구)

  • Ahn, Chan-Sol;Kim, Jung-Yup;You, Yong-Ho;Kweon, Oh-Sang;Joo, Sang-Hyun
    • Fire Science and Engineering
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    • 제25권6호
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    • pp.58-63
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    • 2011
  • This study is intended to present a computational thermal model for the combustibles in a residential building. As the Performance Based Design is more popular, fire-intensity and fire-load have turned out to be very important factors for building design and can be predicted through some computational work. To predict and estimate the thermal properties of the residential combustible fire, we made some numerical models of combustibles in a residential building. In a bid to validate the estimate values, computational analysis results from numerical models were compared with real fire tests. For computational analysis, the Fire Dynamics Simulator was used with Large Eddy Simulation model for turbulence. Consequently, each heat release rate and total heat release curves were successfully estimated.

The Target Modeling and The Shot Line Analysis System to Assess Vulnerability of the Ground Combat Vehicle (지상전투차량 취약성 평가를 위한 표적 모델링과 피격선 분석 시스템)

  • Yoo, Chul;Jang, Eun Su;Park, Kang;Choi, Sang Yeong
    • Korean Journal of Computational Design and Engineering
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    • 제20권3호
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    • pp.238-245
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    • 2015
  • Vulnerability assessment is a process to calculate the damage degree of a combat vehicle when the combat vehicle is attacked by an enemy. When the vehicle is hit, it is necessary to analyze the shot line to calculate which components are damaged and judge whether the armor of the vehicle is penetrated by enemy's warhead. To analyze the shot line efficiently, this paper presents the target modeling and the shot line analysis system to assess vulnerability of the ground combat vehicle. This system is easily able to do several functions: 1) the program reads STL files converted from CAD model which is designed by commercial CAD software. 2) It calculates the intersection between triangle of STL mesh and the shot line, and check if the components of the model are penetrated. 3) This program can visualize the results using OpenGL. The vulnerability assessment using the shot line analysis can be used to model the armor of the combat vehicle and arrange the inner components effectively in the early stage of development of the combat vehicle.

A study on computational analysis modeling for evaluating the performance of additive manufacturing specimen (적층제조시편 성능 평가를 위한 전산해석 모델링 도출에 관한 연구)

  • Yeo-Ul Song;Pil-Ho Lee;Dong-Woon Shin;Gyeong-Yun Baek
    • Design & Manufacturing
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    • 제18권1호
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    • pp.26-31
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    • 2024
  • Additive manufacturing grants control over both the shape and properties of the product. Therefore, validating product operation necessitates predicting its properties. In this study, an optical fiber-based temperature sensor was inserted into an additively manufactured specimen, and the actual temperature was collected. A machine learning model was constructed using the collected temperature data for calibration, enabling accurate prediction of physical properties. These predicted properties were then integrated into structural analysis to assess the performance of the specimen.