• 제목/요약/키워드: Model-based analysis

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노상의 비선형 모델에 근거한 비파괴 FWD 시험에 있어 정적과 동적 거동의 비교연구 (Nonlinear Subgrade Model-Based Comparison Study between the Static and Dynamic Analyses of FWD Nondestructive Tests)

  • 문성호
    • 한국도로학회논문집
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    • 제19권1호
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    • pp.73-80
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    • 2017
  • PURPOSES : This paper presents a comparison study between dynamic and static analyses of falling weight deflectometer (FWD) testing, which is a test used for evaluating layered material stiffness. METHODS: In this study, a forward model, based on nonlinear subgrade models, was developed via finite element analysis using ABAQUS. The subgrade material coefficients from granular and fine-grained soils were used to represent strong and weak subgrade stiffnesses, respectively. Furthermore, the nonlinearity in the analysis of multi-load FWD deflection measured from intact PCC slab was investigated using the deflection data obtained in this study. This pavement has a 14-inch-thick PCC slab over fine-grained soil. RESULTS: From case studies related to the nonlinearity of FWD analysis measured from intact PCC slab, a nonlinear subgrade model-based comparison study between the static and dynamic analyses of nondestructive FWD tests was shown to be effectively performed; this was achieved by investigating the primary difference in pavement responses between the static and dynamic analyses as based on the nonlinearity of soil model as well as the multi-load FWD deflection. CONCLUSIONS : In conclusion, a comparison between dynamic and static FEM analyses was conducted, as based on the FEM analysis performed on various pavement structures, in order to investigate the significance of the differences in pavement responses between the static and dynamic analyses.

Reliability analysis of piles based on proof vertical static load test

  • Dong, Xiaole;Tan, Xiaohui;Lin, Xin;Zhang, Xuejuan;Hou, Xiaoliang;Wu, Daoxiang
    • Geomechanics and Engineering
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    • 제29권5호
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    • pp.487-496
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    • 2022
  • Most of the pile's vertical static load tests in construction sites are the proof load tests, which is difficult to accurately estimate the ultimate bearing capacity and analyze the reliability of piles. Therefore, a reliability analysis method based on the proof load-settlement (Q-s) data is proposed in this study. In this proposed method, a simple ultimate limit state function based on the hyperbolic model is established, where the random variables of reliability analysis include the model factor of the ultimate bearing capacity and the fitting parameters of the hyperbolic model. The model factor M = RuR / RuP is calculated based on the available destructive Q-s data, where the real value of the ultimate bearing capacity (RuR) is obtained by the complete destructive Q-s data; the predicted value of the ultimate bearing capacity (RuP) is obtained by the proof Q-s data, a part of the available destructive Q-s data, that before the predetermined load determined by the pile test report. The results demonstrate that the proposed method can easy and effectively perform the reliability analysis based on the proof Q-s data.

데이터간 의미 분석을 위한 R기반의 데이터 가중치 및 신경망기반의 데이터 예측 모형에 관한 연구 (A Novel Data Prediction Model using Data Weights and Neural Network based on R for Meaning Analysis between Data)

  • 정세훈;김종찬;심춘보
    • 한국멀티미디어학회논문지
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    • 제18권4호
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    • pp.524-532
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    • 2015
  • All data created in BigData times is included potentially meaning and correlation in data. A variety of data during a day in all society sectors has become created and stored. Research areas in analysis and grasp meaning between data is proceeding briskly. Especially, accuracy of meaning prediction and data imbalance problem between data for analysis is part in course of something important in data analysis field. In this paper, we proposed data prediction model based on data weights and neural network using R for meaning analysis between data. Proposed data prediction model is composed of classification model and analysis model. Classification model is working as weights application of normal distribution and optimum independent variable selection of multiple regression analysis. Analysis model role is increased prediction accuracy of output variable through neural network. Performance evaluation result, we were confirmed superiority of prediction model so that performance of result prediction through primitive data was measured 87.475% by proposed data prediction model.

TMO모델 기반의 동적 분석 프레임워크 설계 : 구성요소 및 측정지수 (Design of TMO Model based Dynamic Analysis Framework: Components and Metrics)

  • 정윤석;김태완;장천현
    • 한국정보과학회논문지:시스템및이론
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    • 제32권7호
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    • pp.377-392
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    • 2005
  • 컴퓨터 시스템이 등장한 이후 시스템 성능을 측정하고 분석하기 위한 많은 연구가 시스템 모델링, 성능 측정, 감시, 그리고 성능 예측 등 여러 분야에서 진행되었다. 그럼에도 불구하고, 각 성능 관련 분야를 하나로 묶는 통합 프레임워크에 관한 연구는 거의 이루어지지 않았다. 특히 TMO(Time-Triggered Message-Triggered Object) 실시간 프로그래밍 모델의 경우, 간단한 감시 도구를 제외하고 성능 측정 도구나 분석 프레임워크가 없어, TMO 모델 기반 시스템 및 태스크를 분석하는데 어려움이 있다. 이에 따라, 본 논문에서는 TMO 모델 기반의 동적 분석 프레임워크인 TDAF(TMO based Dynamic Analysis Framework)를 제안한다. TDAE는 성능 측정 및 분석 단계를 전체적으로 다루며, 구성 요소인 부하 모델, 성능 모델, 그리고 보고 모델을 유기적으로 결합하여 보다 신뢰할 수 있는 정보를 개발자에게제공한다. 이를 지원하기 위해 기존 부하 모델에 TMO 모델을 결합하여 확장한 부하 모델을 제안하고, TMO 객체 부하를 파악할 수 있는 부하 계산 알고리즘을 제안한다. 또한 TMO 객체 부하를 고려하여 성능 측정지수를 구현한 성능 알고리즘과, 부하 및 성능을 기초로 실시간 태스크의 주기 및 데드라인을 도출할 수 있는 보고 모델과 알고리즘을 제안한다. 마지막으로 부하 계산 알고리즘의 타당성을 입증하기 위한 실험을 수행하고 그 결과를 제시한다.

Performance Analysis of Distribution-based and Replication-based Model for High Performance Grid Information Service

  • Quan, Cheng-Hao;Kim, Hie-Cheol;Lee, Kang-Woo;Lee, Yong-Doo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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    • pp.1621-1624
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    • 2003
  • As the entities participating Grid become larger, performance requirement for the LDAP-based GIS(Grid Information Service) goes beyond that provided by a stand-alone single LDAP server. This entails the exploration of distributed LDAP systems. This paper presents the performance evaluation respectively for a distribution-based and a replication-based LDAP model. The analysis is based on an analytic performance model for each distributed system which is obtained by applying the M/M/1 queuing model. The performance evaluation made to these analytic models reveals that the distribution-based and the replication-based model show a significant tradeoff in their performance with respect to the system size as well as the amount of system load.

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비선형 스트럿-타이 모델에 의한 PC 구조물의 정착부 설계 (Design of Anchorage Zone in Prestressed Concrete Structure Using Nonlinear Strut and Tie Model)

  • 배한옥;변근주;송하원
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1997년도 봄 학술발표회 논문집
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    • pp.392-397
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    • 1997
  • In this paper, design and analysis of anchorage zone in prestressed concrete structure using nonlinear strut and tie model is presented. Nonlinear strut and tie model is an analysis and design model which constructs strut and tie model based on nonlinear analysis considering the nonlinear behavior of concrete. Based on the nonlinear strut and tie model, the analysis and design are performed for the anchorage zone having singular concentric tendons, singular eccentric tendons and multiple tendons, respectively. For verification of the model, comparisons are made with experimental results as well as results by linear strut and tie models. from the comparisons, it is shown that the design of the anchorage zone by the nonlinear model is still economical without loosing the degree of safety and the prediction of the ultimate load by the nonlinear model gives better accuracy than by the linear one.

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반디호 수출형 시제기에 대한 플러터 매커니즘 분석 (Flutter Mechanism Analysis for Firefly Export Model)

  • 백승길;이상욱
    • 항공우주기술
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    • 제6권1호
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    • pp.35-44
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    • 2007
  • 본 연구에서는 선미익을 채용한 경항공기인 반디호의 수출형 시제기에 대한 플러터 해석을 수행하였다. 내부 하중 생성용 유한요소모델을 기초로 강성 모델을 작성하였고, 중량 통제를 위한 중량 DB에 근거하여 중량 모델을 작성하였다. 공력모델은 DLM을 이용하였다. 작성된 모델을 이용하여 1차 플러터 해석을 수행하였다. 이를 토대로 주요 진동 모드를 구분해 내고, 지상진동시험을 수행하여 진동 특성을 획득하였다. 획득된 고유진동수를 근거로 유한요소모델의 수정이 이루어졌고 2차 해석이 수행되었다. 해석 결과 주요 플러터 근의 특성을 정리하였다. 가장 중요한 플러터 근은 롤 운동을 갖는 강체 모드와 반대칭 주익 피칭 모드의 연계 모드로 판명되었다.

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STATE MODEL BASED OPTIMAL FIR 필터의 성능분석 (Performance Analysis of the state model based optimal FIR filter)

  • 이규승;권욱현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.917-920
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    • 1988
  • The effects of the errors due to incorrect a priori informations on the noise model as well as the system model in the continuous state model based optimal FIR filter is considered. When the optimal filter is perturbed, the error covariance is derived. From this equation, the performance of the state model based optimal FIR filter is analyzed for the given modeling error. Also the state model based optimal FIR filter is compared to the standard Kalman filter by an example.

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철근 콘크리트 구조물의 모델거동에 관한 연구 (Model Analysis of Reinforced Concrete Structure)

  • 오병환;김배식;이명규;전세진;김광수
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1995년도 가을 학술발표회 논문집
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    • pp.193-197
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    • 1995
  • Computer-based methods have often been used in the structural analysis. But, regardless of the progress in the technique of structural analysis, there are inevitable limitations in consideration of the material and eometric nonlinearity and prediction of failure loads. Model analysis of concrete structure can supplement this kind of limitations to reasonably predict behavior of the structure. Similitude requirement in the reinforced concrete structure is often hard to be secured because of peculiar uncertainty of concrete. In this study, small scale model of subway box structure was constructed using strength model and results of model of subway box structure was constructed using strength model and results of model test and computer-based analysis were compared.

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Architectural model driven dependability analysis of computer based safety system in nuclear power plant

  • Wakankar, Amol;Kabra, Ashutosh;Bhattacharjee, A.K.;Karmakar, Gopinath
    • Nuclear Engineering and Technology
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    • 제51권2호
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    • pp.463-478
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    • 2019
  • The most important non-functional requirements for dependability of any Embedded Real-Time Safety Systems are safety, availability and reliability requirements. System architecture plays the primary role in achieving these requirements. Compliance with these non-functional requirements should be ensured early in the development cycle with appropriate considerations during architectural design. In this paper, we present an application of system architecture modeling for quantitative assessment of system dependability. We use probabilistic model checker (PRISM), for dependability analysis of the DTMC model derived from system architecture model. In general, the model checking techniques do not scale well for analyzing large systems, because of prohibitively large state space. It limits the use of model checking techniques in analyzing the systems of practical interest. We propose abstraction based compositional analysis methodology to circumvent this limitation. The effectiveness of the proposed methodology has been demonstrated using the case study involving the dependability analysis of safety system of a large Pressurized Water Reactor (PWR).