2013 Session: 638

• Dynamic Wheel Loads of High-Speed Rail at Speeds Greater Than 400 km/h
  Abstract: The High-Speed Line (HSL) in Korea has been in service since 2004 with the maximum design speed and operating speed of 350km/h and 300km/h, respectively. Recently, Korea has completed a development of HEMU-430X (High Speed Electric Multiple-Unit, 430km/h eXperiment) with the maximum design speed and operating speed of 430km/h and 400km/h, respectively and is waiting for a trial run on a conventional HSL. In this study, we tried to predict wheel load fluctuations (WLFs), which are one of the key factors affecting acceleration to speeds over 400km/h. To accurately understand the WLFs in the high-speed range greater than 400km/h, we performed field running tests twice using the KTX-Sancheon trains on the Gyeongbu HSL. They travelled between Gwangmyeong and Daejeon at the maximum running speed of 302 and 335km/h, carefully measuring WLFs at varying speeds. Based on probabilistic data analysis using a Gaussian function, the WLF (¥ò/P_st), normalized non-dimensional parameter, at speeds of 400km/h and 500km/h was modeled into quadratic functions. Additionally, effects from structures that greatly impact WLFs, such as turnouts, transition zones, and loose sleepers, were evaluated quantitatively.
  Authors: Kim, Dae Sang
  Authors: Kim, Dae Sang
  Year: 2013
  Document Type: Paper
  Subject: Passenger Transportation; Railroads; Rail
  Session: 638
  Paper Number: 13-0671
  Practice-Ready: Yes
• Analysis Method for Correlation Between Catenary Irregularities and Pantograph-Catenary Contact Force
  Abstract: Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however, the pantograph-catenary contact force is largely affected by the catenary irregularities. To analyze the correlated relationship between catenary irregularities and pantograph-catenary contact force, a method based on NARX (Nonlinear Auto-Regressive with eXogenous input) neural networks was developed. First, to collect the test data of catenary irregularities and contact force, the pantograph/catenary dynamics model was established and dynamic simulation was conducted using MATLAB/Simulink. Second, catenary irregularities were used as the input to NARX neural network and the contact force was determined as output of the NARX neural network, in which the neural network was trained by an improved training mechanism based on the regularization algorithm. Third, the simulation results and the comparison with other algorithms indicate the validity and superiority of the proposed approach.
  Authors: Zhang, Yuan; Qin, Yong; Cheng, Xiaoqing; Jia, Limin; Xing, Zongyi
  Authors: Zhang, Yuan; Qin, Yong; Cheng, Xiaoqing; Jia, Limin; Xing, Zongyi
  Year: 2013
  Document Type: Paper
  Subject: Passenger Transportation; Railroads; Rail
  Session: 638
  Paper Number: 13-0208
  Practice-Ready: Yes
• Analysis Method for Correlation Between Catenary Irregularities and Pantograph-Catenary Contact Force
  Authors: Zhang, Yuan
  Authors: Zhang, Yuan
  Year: 2013
  Document Type: Presentation
  Subject: Rail; Passenger Transportation
  Session: 638
  Paper Number: 13-0208
• Dynamic Wheel Loads of High-Speed Rail at Speeds Greater Than 400 km/h
  Authors: Kim, Dae Sang
  Authors: Kim, Dae Sang
  Year: 2013
  Document Type: Presentation
  Subject: Rail; Passenger Transportation
  Session: 638
  Paper Number: 13-0671
• Stadler GTW DMU Federal Railroad Administration Alternative Vehicle Technology Waiver at Denton County Transportation Authority, Texas
  Authors: Tagaras, Michael
  Authors: Tagaras, Michael
  Year: 2013
  Document Type: Presentation
  Subject: Rail; Passenger Transportation
  Session: 638
  Paper Number: P13-5330
• Technical Update on California High-Speed Train Project: System Overview with Emphasis on Rolling Stock
  Authors: Banko, Frank
  Authors: Banko, Frank
  Year: 2013
  Document Type: Presentation
  Subject: Rail; Passenger Transportation
  Session: 638
  Paper Number: P13-5331