• 제목/요약/키워드: Hierarchical modeling

검색결과 351건 처리시간 0.025초

COMPLEX STOCHASTIC WHEELBASE PREVIEW CONTROL AND SIMULATION OF A SEMI-ACTIVE MOTORCYCLE SUSPENSION BASED ON HIERARCHICAL MODELING METHOD

  • Wu, L.;Chen, H.L.
    • International Journal of Automotive Technology
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    • 제7권6호
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    • pp.749-756
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    • 2006
  • This paper presents a complex stochastic wheelbase preview control method of a motorcycle suspension based on hierarchical modeling method. As usual, a vehicle suspension system is controlled as a whole body. In this method, a motorcycle suspension with five Degrees of Freedom(DOF) is dealt with two local independent 2-DOF suspensions according to the hierarchical modeling method. The central dynamic equations that harmonize local relations are deduced. The vertical and pitch accelerations of the suspension center are treated as center control objects, and two local semi-active control forces can be obtained. In example, a real time Linear Quadratic Gaussian(LQG) algorithm is adopted for the front suspension and the combination of the wheelbase preview and LQG control method is designed for the rear suspension. The results of simulation show that the control strategy has less calculating time and is convenient to adopt different control strategies for front and rear suspensions. The method proposed in this paper provides a new way for the vibration control of multi-wheel vehicles.

Hierarchical multiscale modeling for predicting the physicochemical characteristics of construction materials: A review

  • Jin-Ho Bae;Taegeon Kil;Giljae Cho;Jeong Gook Jang;Beomjoo Yang
    • Computers and Concrete
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    • 제33권3호
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    • pp.325-340
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    • 2024
  • The growing demands for sustainable and high-performance construction materials necessitate a deep understanding of their physicochemical properties by that of these heterogeneities. This paper presents a comprehensive review of the state-of-the-art hierarchical multiscale modeling approach aimed at predicting the intricate physicochemical characteristics of construction materials. Emphasizing the heterogeneity inherent in these materials, the review briefly introduces single-scale analyses, including the ab initio method, molecular dynamics, and micromechanics, through a scale-bridging technique. Herein, the limitations of these models are also overviewed by that of effectively scale-bridging methods of length or time scales. The hierarchical multiscale model demonstrates these physicochemical properties considering chemical reactions, material defects from nano to macro scale, microscopic properties, and their influence on macroscopic events. Thereby, hierarchical multiscale modeling can facilitate the efficient design and development of next-generation construction.

계층의 구조를 갖는 시뮬레이션 모델에 있어서 단계적 접근을 위한 모델연결 방법론과 그 적용 예 (Model Coupling Technique for Level Access in Hierarchical Simulation Models and Its Applications)

  • 조대호
    • 한국시뮬레이션학회논문지
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    • 제5권2호
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    • pp.25-40
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    • 1996
  • Modeling of systems for intensive knowledge-based processing requires a modeling methodology that makes efficient access to the information in huge data base models. The proposed level access mothodology is a modeling approach applicable to systems where data is stored in a hierarchical and modular modules of active memory cells(processor/memory pairs). It significantly reduces the effort required to create discrete event simulation models constructed in hierarchical, modular fashion for above application. Level access mothodology achieves parallel access to models within the modular, hierarchical modules(clusters) by broadcasting the desired operations(e.g. querying information, storing data and so on) to all the cells below a certain desired hierarchical level. Level access methodology exploits the capabilities of object-oriented programming to provide a flexible communication paradigm that combines port-to-port coupling with name-directed massaging. Several examples are given to illustrate the utility of the methodology.

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박판 탄성구조물의 최적해석을 위한 계층적 모델에 관한 연구 (A Study of Hierarchical Models for the Optimal Analysis of Thin Elastic Structures)

  • 조진래
    • 대한기계학회논문집A
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    • 제21권6호
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    • pp.933-941
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    • 1997
  • In the analysis of thin elastic structures such as plate and shell-like structures, classical lower-order theories like Kirchhoff and Reissner-Mindin theories are insufficient to describe the behavior of such structures in the region where the state of stresses is complex. On the other hand, the fully three dimensional theory of linear elasticity can provide desired analysis accuracy, but requires expensive computational implementation compared to the classical theories. This paper is concerned with the development of hierarchical models for elastic structures which can be used for hierarchical modeling for the analysis of such structures. Derivation and limit model analysis (when the thickness of structures tends to zero) of hierarchical models are presented together with a introduction of modeling error estimation. Also, numerical results supporting theoretical results are given.

Performability Analysis of Token Ring Networks using Hierarchical Modeling

  • Ro, Cheul-Woo;Park, Artem
    • International Journal of Contents
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    • 제5권4호
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    • pp.88-93
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    • 2009
  • It is important for communication networks to possess the capability to overcome failures and provide survivable services. We address modeling and analysis of performability affected by both performance and availability of system components for a token ring network under failure and repair conditions. Stochastic reward nets (SRN) is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, hierarchical SRN modeling techniques are used to overcome state largeness problem. The upper level model is used to compute availability and the lower level model captures the performance. And Normalized Throughput Loss (NTL) is obtained for the composite ring network for each node failures occurrence as a performability measure. One of the key contributions of this paper constitutes the Petri nets modeling techniques instead of complicate numerical analysis of Markov chains and easy way of performability analysis for a token ring network under SRN reward concepts.

제약조건이 있는 시뮬레이션을 위한 계층적 모델링 방법론 (Hierarchical Modeling Methodology for Contraint Simulations)

  • 이강선
    • 한국시뮬레이션학회논문지
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    • 제9권4호
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    • pp.41-50
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    • 2000
  • We have many simulation constraints to meet as a modeled system becomes large and complex. Real-time simulations are the examples in that they are constrained by certain non-function constraints (e.g., timing constraints). In this paper, an enhanced hierarchical modeling methodology is proposed to efficiently deal with constraint-simulations. The proposed modeling method enhances hierarchical modeling methods to provide multi-resolution model. A simulation model is composed by determining the optimal level of abstraction that is guaranteed to meet the given simulation constraints. Four modeling activities are defined in the proposed method: 1) Perform the logical architectural design activity to produce a multi-resolution model, 2) Organize abstraction information of the multi-resolution model with AT (Abstraction Tree) structure, 3) Formulate the given constraints based on U (Integer Programming) approach and embrace the constraints to AT, and 4) Compose a model based on the determined level of abstraction with which the multi-resolution model can satisfy all given simulation constraints. By systematically handling simulation constraints while minimizing the modeler's interventions, we provide an efficient modeling environment for constraint-simulations.

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Hierarchical Decentralized Supervisory Control of Discrete Event Systems

  • Kim, Seong-Gyu;Lim, Jong-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.73.6-73
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    • 2001
  • In this paper, we consider a hierarchical decentralized supervisory control of discrete event systems underpartial observation in two-level hierarchical structure since the observability is a practical and general property in modeling of real systems. Hierarchical consistencies of controllability and observability on the hierarchical decentralized supervisory control are investigated and relevant conditions are proposed to ensure such hierarchical consistencies.

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A POSTERIORI ERROR ESTIMATOR FOR HIERARCHICAL MODELS FOR ELASTIC BODIES WITH THIN DOMAIN

  • Cho, Jin-Rae;J. Tinsley Oden
    • Journal of Theoretical and Applied Mechanics
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    • 제3권1호
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    • pp.16-33
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    • 2002
  • A concept of hierarchical modeling, the newest modeling technology. has been introduced early In 1990. This nu technology has a goat potential to advance the capabilities of current computational mechanics. A first step to Implement this concept is to construct hierarchical models, a family of mathematical models which are sequentially connected by a key parameter of the problem under consideration and have different levels in modeling accuracy, and to investigate characteristics In their numerical simulation aspects. Among representative model problems to explore this concept are elastic structures such as beam-, arch-. plate- and shell-like structures because the mechanical behavior through the thickness can be approximated with sequential accuracy by varying the order of thickness polynomials in the displacement or stress fields. But, in the numerical analysis of hierarchical models, two kinds of errors prevail: the modeling error and the numerical approximation errors. To ensure numerical simulation quality, an accurate estimation of these two errors Is definitely essential. Here, a local a posteriori error estimator for elastic structures with thin domain such as plate- and shell-like structures Is derived using element residuals and flux balancing technique. This method guarantees upper bounds for the global error, and also provides accurate local error Indicators for two types of errors, in the energy norm. Comparing to the classical error estimators using flux averaging technique, this shows considerably reliable and accurate effectivity indices. To illustrate the theoretical results and to verify the validity of the proposed error estimator, representative numerical examples are provided.

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A posteriori error estimator for hierarchical models for elastic bodies with thin domain

  • Cho, Jin-Rae
    • Structural Engineering and Mechanics
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    • 제8권5호
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    • pp.513-529
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    • 1999
  • A concept of hierarchical modeling, the newest modeling technology, has been introduced in early 1990's. This new technology has a great potential to advance the capabilities of current computational mechanics. A first step to implement this concept is to construct hierarchical models, a family of mathematical models sequentially connected by a key parameter of the problem under consideration and have different levels in modeling accuracy, and to investigate characteristics in their numerical simulation aspects. Among representative model problems to explore this concept are elastic structures such as beam-, arch-, plate- and shell-like structures because the mechanical behavior through the thickness can be approximated with sequential accuracy by varying the order of thickness polynomials in the displacement or stress fields. But, in the numerical, analysis of hierarchical models, two kinds of errors prevail, the modeling error and the numerical approximation error. To ensure numerical simulation quality, an accurate estimation of these two errors is definitely essential. Here, a local a posteriori error estimator for elastic structures with thin domain such as plate- and shell-like structures is derived using the element residuals and the flux balancing technique. This method guarantees upper bounds for the global error, and also provides accurate local error indicators for two types of errors, in the energy norm. Compared to the classical error estimators using the flux averaging technique, this shows considerably reliable and accurate effectivity indices. To illustrate the theoretical results and to verify the validity of the proposed error estimator, representative numerical examples are provided.

메타모델 기반 사용자 인터페이스 계층적 모델링 프로세스 (An User Interface hierarchical modeling process based on Metamodel)

  • 송치양;조은숙;김철진
    • 한국멀티미디어학회논문지
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    • 제11권4호
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    • pp.525-543
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    • 2008
  • 최근 들어 소프트웨어 개발에 있어서 사용자 인터페이스가 차지하는 비중이 급증하고 있다. 이로 인해 스윙, MFC, Web 2.0 등과 같은 다양한 사용자 인터페이스 개발 관련 기술들이 소개되고 있다. 그러나 현재 대부분의 소프트웨어 개발에 있어서는 사용자 인터페이스 부분과 비즈니스 부분을 별도로 개발하는 프로세스로 진행되고 있다. 이로 인해 통합 과정에서의 어려움, 개발 기간의 연장, 개발 모델의 재사용성의 저하등과 같은 문제점들이 발생하고 있다. 즉, UI 모델링이 체계적이고 계층적이지 못하며, UI 모델링과 비즈니스 모델링간의 일관성있는 통합 기법을 제공치 않아, 구축 모델의 확장성과 재사용성의 저하를 초래하고 있다. 본 논문은 이를 해결하기 위해 개발 단계의 추상화 수준에 따른 계층적 메타모델을 사용해서 단일화되고 체계적인 UML 기반의 사용자 인터페이스 모델링 프로세스를 제시한다. 이를 위해, 개발의 성숙도에 준거하여 PIM/PSM으로 UI 모델의 모델링 요소를 계층화하여 메타모델을 제시한다. 3 단계 모델링(개념/명세/상세)에 의해 UI 및 비즈니스 메타모델을 적용해서 UI 모델링과 비즈니스 모델링이 통합된 계층적인 모델링 프로세스를 정립한다. 제시한 프로세스를 인터넷 쇼핑몰에 적용해 봄으로써 실효성을 제시한다. 실험 결과를 통해 계층적 UI 메타모델 및 프로세스가 체계적이고 계층적인 UI 모델을 구축할 수 있다. 이는 모델의 품질과 재 사용성을 향상시킬 수 있었다.

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