• Title/Summary/Keyword: numerical testing

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A study on behavior of lateral-vibration about Railway truss bridge (철도트러스 교량의 횡진동 특성에 관한 연구)

  • Yoo Seoung-Hun;Cho Sun-Kyu;Oh Ji-Taek
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.916-921
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    • 2004
  • At present, the highest operation speed of general domestic train is in the level of 140km/h and it is being improved to reach at the level of 200km/h in 2011. The improved environment of train operation speed which inevitably occurs owing to the operation of KTX on the existing line badly requires technology development such as testing and evaluating technology of factors hindering high speed of railway infrastructure including railway bridge, technology to ensure operation safety and technology to evaluate structure stability. Comparing dynamic numerical interpretation for railway truss bridge and load of design standard by using dynamic response measurement and analysis for the railway truss bridge currently in use, this study established the improvement program to ensure the lateral dynamic safety of truss bridge with the increased speed of train.

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A Study on Effect of Ground Improvement by Sand Compaction Pile Changing Replacement Width (모래다짐말뚝 개량폭에 따른 보강효과에 관한 연구)

  • Kim, Si-Woon;Jung, Gil-Soo;Park, Byung-Soo;Yoo, Nam-Jae
    • Journal of Industrial Technology
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    • v.25 no.A
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    • pp.67-73
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    • 2005
  • In this research, centrifuge model experiments and numerical approach of finite element method to analyze experimental results were performed to investigate the behavior of improved ground with sand compaction piles. One of typical clay minerals, kaolinite powder, were prepared for soft ground in model tests. Jumunjin standard sand was used to sand compaction pile installed in the soft soil. In order to investigate the characteristics of mechanical behavior of sand compaction piles with low replacement ratios, centrifuge model experiments with the replacement ratio of 40%, changing the width of improved area with respect to testing results the width of surcharge loads, were carried out to obtain of bearing capacity, characteristics of load-settlement, vertical stresses acting on the sand pile and the soft soil failure mechanism in improved ground.

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Numerical study for identifying damage in open-hole composites with embedded FBG sensors and its application to experiment results

  • Yashiro, S.;Murai, K.;Okabe, T.;Takeda, N.
    • Advanced Composite Materials
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    • v.16 no.2
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    • pp.115-134
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    • 2007
  • This study proposes two new approaches for identifying damage patterns in a holed CFRP cross-ply laminate using an embedded fiber Bragg grating (FBG) sensor. It was experimentally confirmed that the reflection spectrum from the embedded FBG sensor was significantly deformed as the damage near the hole (i.e. splits, transverse cracks and delamination) extended. The damage patterns were predicted using forward analysis (a damage analysis and an optical analysis) with strain estimation and the proposed damage-identification method as well as the forward analysis only. Forward analysis with strain estimation provided the most accurate damage-pattern estimation and the highest computational efficiency. Furthermore, the proposed damage identification significantly reduced computation time with the equivalent accuracy compared to the conventional identification procedure, by using damage analysis as the initial estimation.

Fuzzy Polynomial Neural Networks based on GMDH algorithm and Polynomial Fuzzy Inference (GMDH 알고리즘과 다항식 퍼지추론에 기초한 퍼지 다항식 뉴럴 네트워크)

  • 박호성;윤기찬;오성권
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.130-133
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    • 2000
  • In this paper, a new design methodology named FNNN(Fuzzy Polynomial Neural Network) algorithm is proposed to identify the structure and parameters of fuzzy model using PNN(Polynomial Neural Network) structure and a fuzzy inference method. The PNN is the extended structure of the GMDH(Group Method of Data Handling), and uses several types of polynomials such as linear, quadratic and modified quadratic besides the biquadratic polynomial used in the GMDH. The premise of fuzzy inference rules defines by triangular and gaussian type membership function. The fuzzy inference method uses simplified and regression polynomial inference method which is based on the consequence of fuzzy rule expressed with a polynomial such as linear, quadratic and modified quadratic equation are used. Each node of the FPNN is defined as fuzzy rules and its structure is a kind of neuro-fuzzy architecture Several numerical example are used to evaluate the performance of out proposed model. Also we used the training data and testing data set to obtain a balance between the approximation and generalization of proposed model.

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A Statistical Design of Bayesian Two-Stage Reliability Demonstration Test for Product Qualification in Development Process (개발단계의 제품 인증을 위한 베이지언 2단계 신뢰성 실증시험의 통계적 설계)

  • Seo, Sun-Keun
    • Journal of Korean Institute of Industrial Engineers
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    • v.43 no.2
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    • pp.147-153
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    • 2017
  • In order to demonstrate a target reliability with a specified confidence level, a new two-stage Bayesian Reliability Demonstration Test (RDT) plans that is known to be more effective than a corresponding single-stage one is proposed and developed by Bayesian framework with beta prior distribution for Weibull life time distribution. A numerical example is provided to illustrate the proposed RDT plans and compared with other non-Bayesian and Bayesian plans. Comparative results show that the proposed Bayesian two-stage plans have some merits in terms of required and expected testing time and probability of acceptance.

Moment method analysis of the moreno directional coupler (모멘트법을 이용한 moreno 방향성 결합기 해석)

  • 박면주;전대인;안병철;남상욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.7
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    • pp.1842-1849
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    • 1996
  • This paper presents a full-wave, moment method analysis of a Moreno directional coupler with tow crossed-slots between two crossed rectangular waveguides. the overall structure is divided into several rectangular waveguides and cavities by the use of the equivalence principle to the complex slot regions. this enables a simple and efficient analysis involving the well-known retangular waveguide/cavity Green's functions. For a numerically efficient simulation, the roof-top basis expansion and line testing is used and an acceleration technique is applied to the series summation in the Green's functions. The numerical results are compared with the measurements to verify the correctness of the present analysis.

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Optimum Life Cycle Cost Design of High-Speed Railway Steel Bridges (고속철도 강교량의 총기대비용 최적설계)

  • 조효남;민대홍;조준석
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.10a
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    • pp.109-114
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    • 2000
  • In this paper, an optimum design model for minimizing the life-cycle cost (LCC) of high-speed railway steel bridges is proposed The point is that it takes into account service life process as a whole, and thus the life-cycle costs include initial (design, testing, and construction) costs, maintenance costs, expected strength failure costs and expected serviceability failure costs. The problem is formulated as that of minimization of expected total life-cycle cost with respect to the design variables. By processing the optimum LCC design the effective and rational basis is proposed for calculating the total LCC and the sensitivity analysis of LCC is peformed. Based on a numerical example, it may be positively stated that the optimum LCC design of high-speed railway steel bridges proposed in this study provides a lot more rational and economical design, and thus the proposed approach will expedite the development of new concepts and design methodologies that may have important implications in the next generation performance-based design codes and standards.

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Optimum amount of additive mass in scaling of operational mode shapes

  • Khatibi, M.M.;Ashory, M.R.;Albooyeh, A.R.
    • Structural Engineering and Mechanics
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    • v.39 no.5
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    • pp.733-750
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    • 2011
  • Recently, identification of modal parameters using the response only data has attracted considerable attention particularly where the classic modal testing methods is difficult to conduct. One drawback of the response only data, also known as Operational Modal Analysis (OMA), is that only the unscaled mode shapes can be obtained which restricts the applications of OMA. The Mass change method is a usual way to scale the operational mode shapes. In this article a new method is proposed to optimize the additive mass for scaling of the unscaled mode shapes from OMA for which a priori knowledge of the Finite Element model of structure is required. It is shown that the total error of the scaled mode shapes is minimized using the proposed method. The method is validated using a numerical case study of a beam. Moreover, the experimental results of a clamped-clamped beam demonstrate the applicability of the method.

Analysis of the Characteristics of an Aerospike Pintle Nozzle in terms of Stroke and Operating Pressure

  • Kim, Jeongjin
    • Journal of Aerospace System Engineering
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    • v.14 no.4
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    • pp.1-9
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    • 2020
  • The characteristics of an aerospike pintle nozzle system with excellent altitude compensation were analyzed using cold air testing. It was confirmed that reducing the stroke of the aerospike nozzle is effective in increasing the thrust. However, the results of additional numerical analysis indicated that the discharge coefficient factor was significantly lower at the maximum stroke. The Vena contracta due to the cowl reduction angle decreased the effective nozzle throat area at the maximum stroke and hindered expansion. Complementing the cowl design may thus increase the efficiency of a solid-propellant rocket engine that uses the aerospike pintle nozzle system.

A Study on Optimal Fuzzy Identification by means of Hybrid Identification Algorithm

  • Park, Byoung-Jun;Park, Chun-Seong;Oh, Sung-Kwun
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.215-220
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    • 1998
  • In order to optimize fuzzy model, we use the optimal algorithm with a hybrid type in the identification of premise parameters and standard least square method in the identification of consequence parameters of a fuzzy model. The hybrid optimal identification algorithm is carried out using a genetic algorithm and improved complex method. Also, the performance index with weighting factor is proposed to achieve a balance between the insults of performance for the training and testing data. Several numerical examples are used to evaluate the performance of the proposed model.

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