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Keywords: sleeper modelling, non-deterministic, random support condition, neural network.

Summary

Railway sleepers have important roles in the complex railway system. As a result of different loading conditions, poor maintenance of sleepers or poor quality ballast, a random load distribution along the sleeper-ballast interface may occur. A sleeper design and also the track system design, which do not consider the random load distribution, could influence the performance of the sleeper and even damage the whole railway system. Thus, a numerical static and dynamic analysis for a prestressed concrete mono-block railway sleeper is carried out using the finite element method. The structural behaviour of a single sleeper subjected to a random sleeperballast interaction is studied in three steps. First, four typical scenarios for the support condition for a sleeper are investigated using a numerical analysis. Second, significant numerical investigations for different random support conditions are conducted. Finally, neural network methodology is used to study the performance of a sleeper subject to a stochastic support condition. Results of vertical displacement of the rail seat, tensile stress at midpoint and underneath rail seat are presented. Moreover, the worst support condition is identified.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 270 Railway Sleeper Modelling with Deterministic and Non-deterministic Support Conditions E. Kassa¹ and D. Salomon² ¹Department of Civil and Transport Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway ²SWETH Consultants, Gothenburg, Sweden doi:10.4203/ccp.104.270 purchase the full-text of this paper Full Bibliographic Reference for this paper E. Kassa, D. Salomon, "Railway Sleeper Modelling with Deterministic and Non-deterministic Support Conditions", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 270, 2014. doi:10.4203/ccp.104.270 Keywords: sleeper modelling, non-deterministic, random support condition, neural network. Summary Railway sleepers have important roles in the complex railway system. As a result of different loading conditions, poor maintenance of sleepers or poor quality ballast, a random load distribution along the sleeper-ballast interface may occur. A sleeper design and also the track system design, which do not consider the random load distribution, could influence the performance of the sleeper and even damage the whole railway system. Thus, a numerical static and dynamic analysis for a prestressed concrete mono-block railway sleeper is carried out using the finite element method. The structural behaviour of a single sleeper subjected to a random sleeperballast interaction is studied in three steps. First, four typical scenarios for the support condition for a sleeper are investigated using a numerical analysis. Second, significant numerical investigations for different random support conditions are conducted. Finally, neural network methodology is used to study the performance of a sleeper subject to a stochastic support condition. Results of vertical displacement of the rail seat, tensile stress at midpoint and underneath rail seat are presented. Moreover, the worst support condition is identified. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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