• Title/Summary/Keyword: Irregularity data

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A Study of Reinforcement of Railway Structure Approaches in Conventional line (기존선 철도구조물 접속부의 보강에 대한 고찰)

  • Park, Joon-Oh;Lee, Sang-Bae;Kim, Kwan-Hyung
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.442-452
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    • 2007
  • Korean trains pass many mountain areas, so the volume of structures like bridge and tunnel has large part of railway lines. Train speed-up naturally needs a straight line in railway, then structures are increasing, and this influences passenger's comfort and the safety of operation, and it needs more track maintenance. The stiffness of bridge and tunnel is higher than the soil in the roadbed in spite of dynamic difference in vibration and displacement. Differences in stiffness have more dynamic effects and increase the deformation and destruction in the track and roadbed. This study will measure periodically to structure's approaches which have very fast track irregularity and analyze dynamic differences and track irregularity near structure's approaches, so realize the cause of track irregularity of structure's approaches and use basic data for reasonably strengthening method of structure's approaches.

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Application of Recursive Least Squares Method to Estimate Rail Irregularities from an Inertial Measurement Unit on a Bogie (대차 관성측정 장치에서 궤도틀림 추정을 위한 반복 최소자승법의 적용)

  • Lee, Jun-Seok;Choi, Sung-Hoon;Kim, Sang-Soo;Park, Choon-Soo
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.427-434
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    • 2011
  • This paper is focused on application of recursive least squares method to estimate rail irregularities from the acceleration measurement on an axle-box or a bogie for the rail condition monitoring with in-service high-speed trains. Generally, the rail condition was monitored by a special railway inspection vehicle but the monitoring method needs an expensive measurement system. A monitoring method using accelerometers on an axle-box or a bogie was already proposed in the previous study, and the displacement was successfully estimated from the acceleration data by using Kalman and frequency selective band-pass filters. However, it was found that the displacement included not only the rail irregularities but also phase delay of the applied filters, and effect of suspension of the bogie and conicity of the wheel. To identify the rail irregularities from the estimated displacement, a compensation filter method is proposed. The compensation filters are derived by using recursive least squares method with the estimated displacement as input and the measured rail irregularity as output. The estimated rail irregularities are compared with the true rail irregularity data from the rail inspection system. From the comparison, the proposed method is a useful tool for the measurement of lateral and vertical rail irregularity.

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Prognosis of aerodynamic coefficients of butterfly plan shaped tall building by surrogate modelling

  • Sanyal, Prasenjit;Banerjee, Sayantan;Dalui, Sujit Kumar
    • Wind and Structures
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    • v.34 no.4
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    • pp.321-334
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    • 2022
  • Irregularity in plan shape is very common for any type of building as it enhances better air ventilation for the inhabitants. Systematic opening at the middle of the facades makes the appearance of the building plan as a butterfly one. The primary focus of this study is to forecast the force, moment and torsional coefficient of a butterfly plan shaped tall building. Initially, Computational Fluid Dynamics (CFD) study is done on the building model based on Reynolds averaged Navier Stokes (RANS) k-epsilon turbulence model. Fifty random cases of irregularity and angle of attack (AOA) are selected, and the results from these cases are utilised for developing the surrogate models. Parametric equations are predicted for all these aerodynamic coefficients, and the training of these outcomes are also done for developing Artificial Neural Networks (ANN). After achieving the target acceptance criteria, the observed results are compared with the primary CFD data. Both parametric equations and ANN matched very well with the obtained data. The results are further utilised for discussing the effects of irregularity on the most critical wind condition.

Prediction of Rolling Noise of Korean Train Express Using FEM and BEM (FEM과 BEM을 이용한 한국형 고속전철의 전동소음 예측)

  • 김관주
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.555-564
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    • 2001
  • Wheel-rail noise is normally classified into three catagories : rolling, squeal and impact noise. In this paper, rolling noise caused by the irregularity between a wheel and rail is analysed as follows: The irregularity between the wheel and rail is assumed as combination of sinusoidal profiles. Wheel-rail contact stiffness is linearized by using Hertzian contact theory, and then contact force between the wheel and rail is calculated. Vibration of the rail and wheel is calculated theoretically by receptance method or FEM depending on the geometry of wheel or rail for the frequency range of 100-5000Hz, important for noise generation. The radiation caused by those vibration is computed by BEM. To verify this analysis tools, rolling noise is calculated by preceding analysis steps using typical roughness data and it is compared with experimental rolling noise data. This analysis tools show reasonable results and used for the prediction of KTX rolling noise.

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Effect of Tropospheric Delay Irregularity in Network RTK Environment (기준국 간 대류권 지연 변칙이 네트워크 RTK에 미치는 영향)

  • Han, Younghoon;Ko, Jaeyoung;Shin, Mi-Young;Cho, Deuk-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.11
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    • pp.2569-2575
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    • 2015
  • Network RTK generally uses a linear interpolation method by using the corrections from reference stations. This minimizes the spatial decorrelation error caused by the increase of distance between the reference station's baseline and user's baseline. However, tropospheric delay, a function of the meteorological data can cause a spatial decorrelation characteristic among reference stations within a network by local meteorological difference. A non-linear characteristic of tropospheric delay can deteriorate Network RTK performance. In this paper, the modeling of tropospheric delay irregularity is made from the data when the typhoon is occurred. By using this modeling, analyzing the effect of meteorological difference between reference stations on correction is performed. Finally, we analyze an effect of non-linear characteristics of tropospheric delay among reference stations to Network RTK user.

Dynamic analysis of eddy current brake system for design evaluation (와전류 제동장치 설계검증을 위한 동역학적 해석)

  • Chung, Kyung-Ryul;Kim, Kyung-Taek;Paik, Jin-Sung;Benker, T.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.110-115
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    • 2002
  • In this paper, the results of an analysis of the dynamic behavior of the eddy current brake(ECB) system are presented. The measured irregularity of the track in Korean high speed line and the track irregularity given by ERRI(high level) were used for simulation. The wheel-rail profile combination were analyzed with different rail gauges. A model of the bogie with an substitute body for the carbody was implemented in the Multi-body-Simulation Program SIMPACK. The ECB frame was modelled both as flexible body and as rigid body. Four different driving conditions were analyzed. In this study dynamic behavior in general were performed to evaluate the design of eddy current brake system and specially the effect of damper was also studied. A comparison of simulations with and without damper shows that the damper have most effect for lower speed. The simulation results will be verified by comparison with measured data from on line test and also used for improving design.

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Dynamic Analysis of Structure's Approaches through Field Tests in the Conventional Railway (현장계측을 통한 기존선 철도 구조물 접속부의 거동분석)

  • Park, Joon-Oh;Lee, Sang-Bae;Hong, Won-Pyo
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1864-1874
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    • 2007
  • Korean trains pass many mountain areas, so the volume of structures like bridge and tunnel has large part of railway lines. Train speed-up naturally needs a straight line in railway, then structures are increasing, and the length of structure has more than 70% in Kyongbu high-speed railway. The stiffness of bridge and tunnel is higher than the soil in the roadbed in spite of dynamic difference in vibration and displacement. Differences in stiffness have more dynamic effects and increase the deformation and destruction in the track and roadbed. This influences passenger's comfort and the safety of operation, and it needs more track maintenance. This study selected tunnel with ballast track, tunnel with concrete track, and structure's approaches with short maintenance cycle in the roadbed and had track acceleration tests and track liner inspections using track master in the field. This study will measure periodically to structure's approaches which have very fast track irregularity and analyze dynamic differences and track irregularity near structure's approaches, so realize the cause of track irregularity of structure's approaches and use basic data for reasonably strengthening method of structure's approaches.

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Effects of Fiber Contents and Loop Length of Weft Knit on Subjective Texture and Preference-Using SEM- (위편성물의 혼용률 및 편환장이 주관적 질감과 선호도에 미치는 영향 -구조방정식 이용-)

  • Roh, Eui-Kyung;Ryu, Hyo-Seon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.7
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    • pp.1128-1138
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    • 2007
  • The purpose of this study is to develop the relationship model among subjective texture and preference of weft knit according to fiber contents of wool/rayon and loop length by integrating previous research work. SPSS and SEM method using AMOS program were used to analyze data which used to correlation matrix to be standardized. The texture of weft knit were classified into 4 categories: irregularity, flexibility, bulkiness, extensibility. The fiber contents of wool/rayon had effect positively on irregularity, bulkiness and extensibility and that had little effect on preference. The loop length had effect positively on irregularity, flexibility and extensibility and that had effect negatively on preference. This measurement model will be input for testing causal research model that can explain how fiber contents of wool/rayon and loop length of weft knit influence on subjective texture.

A Relationship between the Noise and Vibration of a Wheelset and the Irregularity of a High-speed Railway: A Preliminary Research (윤축의 소음 및 진동과 고속선 궤도불규칙간의 관계에 대한 기초연구)

  • Lee, Jun-Seok;Choi, Sung-Hoon;Kim, Sang-Soo;Park, Choon-Soo
    • Proceedings of the KSR Conference
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    • 2009.05b
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    • pp.409-417
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    • 2009
  • This paper is focused on a relationship between the noise and vibration of a wheelset and the railway irregularity of a high speed railway using a time-varying frequency transform for a preliminary research of the railway condition monitoring by an in-service high-speed railway vehicle. Generally, the monitoring has been performed by a special railway inspection vehicle or industrial engineers for railway maintenance. However, they have been limited at night due to the in-service high-speed railway vehicles, and too slow to monitor all of the section. To solve this problem, the monitoring should be performed by an in-service high-speed railway vehicle. For the research, the noise and vibration of a wheelset are utilized, because they are closely related to the railway condition. They are measured by using some microphones and accelerometers, and stored in an on-board data acquisition system. The signals are post-processed by a time-varying frequency analysis and compared with the result of a railway geometry and profile measurement system. From the comparison, it is able to observe the relationship between the noise and vibration of a wheelset and the irregularity of a high-speed railway. Also, some distinct frequency components are observed, which are not observed in the railway geometry and profile.

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A Bayesian Regression Model to Estimate the Deterioration Rate of Track Irregularities (궤도틀림 진전율 추정을 위한 베이지안 회귀분석 모형 연구)

  • Park, Bum Hwan
    • Journal of the Korean Society for Railway
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    • v.19 no.4
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    • pp.547-554
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    • 2016
  • This study considered how to estimate the deterioration rate of the track quality index, which represents track geometric irregularity. Most existing studies have used a simple linear regression and regarded the slope of the regression equation as the progress rate. In this paper, we present a Bayesian approach to estimate the track irregularity progress. This Bayesian approach has many advantages, among which the biggest is that it can formally include the prior distribution of parameters which can be derived from historic data or from expert experiences; then, the rate can be expressed as a probability distribution. We investigated the possibility of applying the Bayesian method to the estimation of the deterioration rate by comparing our bayesian approach to the conventional linear regression approach.