• Title/Summary/Keyword: Bridge simulation

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A Simulation of Bridge using the Spanning Tree Protocol (스패닝 트리 프로토콜을 이용한 브릿지 시뮬레이션)

  • Lee, Sook-Young;Lee, Eun-Wha;Lee, Mee-Jeong;Chae, Ki-Joon;Choi, Kil-Young;Kang, Hun
    • Journal of the Korea Society for Simulation
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    • v.6 no.2
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    • pp.45-57
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    • 1997
  • MAC (media access control) bridge is used to interconnect separate LANs and to relay frames between the BLANs (bridged LANs). Bridge architecture consists of MAC entity, MAC relay entity and bridge protocol entity protocol entity and performs learning, filtering and forwarding functions using filtering database. In this paper, we simulate these functions of bridge and the STP (spanning tree protocol). The STP derives an active topology from an arbitrarily connected BLAN. Our simulation model assumes a BLAN consisted of three bridge forming a closed loop. In order to remove the loop, each bridge process exchanges configruation BPDU (bridge protocol data unit0 with other bridge processes connected to the bridge itself. To simulate the communication between bridges, we implement the IPC (inter-process communication) server using message queues. Our simulation results show that the assumed BLAN contains no closed loop and then there is no alternative route and no unnecessary traffic.

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Assessment of ride safety based on the wind-traffic-pavement-bridge coupled vibration

  • Yin, Xinfeng;Liu, Yang;Chen, S.R.
    • Wind and Structures
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    • v.24 no.3
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    • pp.287-306
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    • 2017
  • In the present study, a new assessment simulation of ride safety based on a new wind-traffic-pavement-bridge coupled vibration system is developed considering stochastic characteristics of traffic flow and bridge surface. Compared to existing simulation models, the new assessment simulation focuses on introducing the more realistic three-dimensional vehicle model, stochastic characteristics of traffic, vehicle accident criteria, and bridge surface conditions. A three-dimensional vehicle model with 24 degrees-of-freedoms (DOFs) is presented. A cellular automaton (CA) model and the surface roughness are introduced. The bridge deck pavement is modeled as a boundless Euler-Bernoulli beam supported on the Kelvin model. The wind-traffic-pavement-bridge coupled equations are established by combining the equations of both the vehicles in traffic, pavement, and bridge using the displacement and interaction force relationship at the patch contact. The numerical simulation shows that the proposed method can simulate rationally useful assessment and prevention information for traffic, and define appropriate safe driving speed limits for vulnerable vehicles under normal traffic and bridge surface conditions.

Vessel Traffic Safety Assessment for the Construction of the Mokpo Bridge (목포 연육교 건설에 따른 선박 통항 안전성 평가)

  • Yang, Chan-Su;Gong, In-Young;Lee, Chang-Min
    • Journal of Navigation and Port Research
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    • v.28 no.8
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    • pp.735-743
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    • 2004
  • A bridge which connects Mokpo North Harbor and Goha Island is going to be constructed until 2009. For the bridges being built in the navigable water area, it is indispensible to carry out vessel traffic safety assessment from the viewpoint of shiphandlers, however, there exist no specific guidelines for the necessary conditions which the bridge designers can rely on. In this paper, traffic safety assessment procedures for the layout of the bridge are briefly introduced, and the conditions which should be taken into account at the initial design stage of the bridge are surveyed For the safety assessment of the bridge design, ship navigation simulations, such as RTS( real time simulation) and FTS(fast time simulation), are carried out, the results of which are statistically analysed to estimate the probability of collision between the ship and the pier of the bridge.

Advanced flutter simulation of flexible bridge decks

  • Szabo, Gergely;Gyorgyi, Jozsef;Kristof, Gergely
    • Coupled systems mechanics
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    • v.1 no.2
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    • pp.133-154
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    • 2012
  • In this paper a bridge flutter prediction is performed by using advanced numerical simulation. Two novel approaches were developed simultaneously by utilizing the ANSYS v12.1 commercial software package. The first one is a fluid-structure interaction simulation involving the three-dimensional elastic motion of a bridge deck and the fluid flow around it. The second one is an updated forced oscillation technique based on the dynamic mode shapes of the bridge. An aeroelastic wind tunnel model was constructed in order to validate the numerical results. Good agreement between the numerical results and the measurements proves the applicability of the novel methods in bridge flutter assessment.

Performance Evaluation of Steel and Composite Safety Barrier for Bridge by Vehicle Crash Simulation (차량 충돌 시뮬레이션에 의한 강재 및 복합소재 교량용 방호울타리 성능 비교)

  • Kim, Seung-Eock;Cho, Pan-Kyu;Hong, Kab-Eui;Jeon, Shin-Youl
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.23 no.2
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    • pp.175-182
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    • 2010
  • A composite safety barrier for bridge has been developed and the performance of the composite safety barrier for bridge has been compared with the steel safety barrier for bridge through computer simulation. As the structural strength performance, the composite safety barrier for bridge is superior to the steel safety barrier for bridge according that the deformation of the composite safety barrier for bridge is 17.0% of that of the steel safety barrier for bridge. As the passenger protection performance, the composite safety barrier for bridge is superior to the steel safety barrier for bridge according that THIV and PHD of the composite safety barrier for bridge are 47.1% and 49.0% respectively of those of the steel safety barrier for bridge. As the behavior of the vehicle after crash, the composite safety barrier for bridge is superior to the steel safety barrier for bridge showing the increased exit velocity and the reduced exit angle. Both of the steel and composite safety barrier for bridge are not scattered in the analysis.

The Simulation and Experimental Study on the Bridge Response of AGT Bridge - Vehicle interaction System (AGT 시스템 교량-차량 상호작용에 의한 교량응답 시뮬레이션 및 실험)

  • Na, Sang-Ju;Kim, Ki-Bong;Song, Jae-Pil;Kim, Hyun-Ho
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.395-400
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    • 2007
  • LRT(Light Railway Train), which is a intermediate system of train and bus, is arose for the solution of subway construction cost and the transportation capacity of bus. LRT was introduced in 1980's. About 30 local governments are plan to introduce LRT or constructing LRT, at present. AGT(Automated Guide-way Transit) system, which is a kind of LRT, is operated without driver. Rubber wheeled AGT system can reduce the noise and vibration compare to steel wheeled AGT, so it is estimated as ideal transportation system for urban area. And live loads at bridge are classified as the static load of vehicle and the dynamic wheel contact load which is occurred from the interaction of bridge and vehicle vibration, and the surface roughness. In the case of AGT system, the dynamic increment factor of bridge is greater than the normal train bridge and roadway bridge, because, the weight of AGT vehicle is more light that the train of truck. The exact method for dynamic increment factor is experiment. But this method is needed much money and time, moreover, this method cannot be adopted in design. Therefore, a simulation program for the interaction of AGT bridge, vehicle and surface roughness was developed, in this study. And the program was verified by experiment. As a result, the accuracy of the simulation program can be verified.

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Analysis of the Degree of Fatigue Damage in Truss Railway Bridge by Actual Stress and Simulation (실측응력 및 시뮬레이션에 의한 트러스 철도교의 피로피해도 분석)

  • Jung, Young-Hwa;Kim, Ik-Gyeom;Kim, Ji-Hun;Kim, eun-sung
    • Journal of Industrial Technology
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    • v.20 no.A
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    • pp.149-158
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    • 2000
  • After measuring actual stress by two measurements(Dynamic Strain Meter, Histogram Recorder) on truss rail road bridge, we could perform time history analysis by 3-D beam element method on modelling bridge. And then, after analyzing bridge structure in static by 3-D modelling, we estimated degree of fatigue damage in main member, secondary member of tie zone, cutting area of base metal cross section for confirming the result. In case that the simulated stress is carried out on modeling bridge, most of those simulation mainly is performed by main members. But in real bridge fatigue damage problems generally caused by junctions, connections, joints in which especially local stress is activated. Therefore, in this paper actual stress on critical area was estimated through the analysis result by simulation. With this study, we can estimate the degree of fatigue damage from a safety point of view and comparative accuracy.

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Static aerodynamic force coefficients for an arch bridge girder with two cross sections

  • Guo, Jian;Zhu, Minjun
    • Wind and Structures
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    • v.31 no.3
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    • pp.209-216
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    • 2020
  • Aiming at the wind-resistant design of a sea-crossing arch bridge, the static aerodynamic coefficients of its girder (composed of stretches of π-shaped cross-section and box cross-section) were studied by using computational fluid dynamics (CFD) numerical simulation and wind tunnel test. Based on the comparison between numerical simulation, wind tunnel test and specification recommendation, a combined calculation method for the horizontal force coefficient of intermediate and small span bridges is proposed. The results show that the two-dimensional CFD numerical simulations of the individual cross sections are sufficient to meet the accuracy requirements of engineering practice.

Probabilistic determination of initial cable forces of cable-stayed bridges under dead loads

  • Cheng, Jin;Xiao, Ru-Cheng;Jiang, Jian-Jing
    • Structural Engineering and Mechanics
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    • v.17 no.2
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    • pp.267-279
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    • 2004
  • This paper presents an improved Monte Carlo simulation for the probabilistic determination of initial cable forces of cable-stayed bridges under dead loads using the response surfaces method. A response surface (i.e. a quadratic response surface without cross-terms) is used to approximate structural response. The use of the response surface eliminates the need to perform a deterministic analysis in each simulation loop. In addition, use of the response surface requires fewer simulation loops than conventional Monte Carlo simulation. Thereby, the computation time is saved significantly. The statistics (e.g. mean value, standard deviation) of the structural response are calculated through conventional Monte Carlo simulation method. By using Monte Carlo simulation, it is possible to use the existing deterministic finite element code without modifying it. Probabilistic analysis of a truss demonstrates the proposed method' efficiency and accuracy; probabilistic determination of initial cable forces of a cable-stayed bridge under dead loads verifies the method's applicability.

Numerical simulation study of the Reynolds number effect on two bridge decks based on the deterministic vortex method

  • Zhou, Zhiyong;Ma, Rujin
    • Wind and Structures
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    • v.13 no.4
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    • pp.347-362
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    • 2010
  • Researches on the Reynolds number effect on bridge decks have made slow progress due to the complicated nature of the subject. Heretofore, few studies on this topic have been made. In this paper, aerostatic coefficients, Strouhal number ($S_t$), pressure distribution and Reynolds number ($R_e$) of Great Belt East Bridge and Sutong Bridge were investigated based on deterministic vortex method (DVM). In this method, Particle Strength Exchange (PSE) was chosen to implement the simulation of the flow around bluff body and to analyze the micro-mechanism of the aerostatic loading and Reynolds number effect. Compared with the results obtained from wind tunnel tests, reliability of numerical simulation can be proved. Numerical results also showed that the Reynolds number effect on aerostatic coefficients and Strouhal number of the two bridges can not be neglected. In the range of the Reynolds number from $10^5$ to $10^6$, it has great effect on the Strouhal number of Sutong Bridge, while the St is difficult to obtain from wind tunnel tests in this range.