This paper presents the development and demonstration of an efficient reliability-based tool for the reinforced earth retaining wall design in heavy haul railway. Here, two major internal failure modes, rupture and pullout, are the focus in the demonstration. The First-Order Reliability Method (FORM) is adopted to estimate the probability of failure for each failure mode, and is implemented in a spreadsheet. The reliability analysis is conducted with the consideration of the effect of uncertainty in the reinforcement length, horizontal and vertical spacing between steel strips, tensile strength of steel strips as well as the material property of the backfills. Using this design tool, a few candidate designs can be easily obtained by meeting the acceptable probability of failure and the final design is determined based on cost. The results obtained using FORM are also verified by comparing with those from Monte Carlo simulation. This design tool is shown to be simple to use in the retaining wall design of the railway engineering.
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2018 Joint Rail Conference
April 18–20, 2018
Pittsburgh, Pennsylvania, USA
Conference Sponsors:
- Rail Transportation Division
ISBN:
978-0-7918-5097-8
PROCEEDINGS PAPER
Efficient Reliability-Based Design Tool for Reinforced Earth Retaining Walls of Heavy Haul Railway Considering Internal Failure Modes
Carlton L. Ho,
Carlton L. Ho
University of Massachusetts Amherst, Amherst, MA
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Youwen Wang
Youwen Wang
Tongji University, Shanghai, China
Search for other works by this author on:
Biao Hu
Tongji University, Shanghai, China
Zhe Luo
Tongji University, Shanghai, China
Carlton L. Ho
University of Massachusetts Amherst, Amherst, MA
Youwen Wang
Tongji University, Shanghai, China
Paper No:
JRC2018-6110, V001T01A001; 8 pages
Published Online:
June 14, 2018
Citation
Hu, B, Luo, Z, Ho, CL, & Wang, Y. "Efficient Reliability-Based Design Tool for Reinforced Earth Retaining Walls of Heavy Haul Railway Considering Internal Failure Modes." Proceedings of the 2018 Joint Rail Conference. 2018 Joint Rail Conference. Pittsburgh, Pennsylvania, USA. April 18–20, 2018. V001T01A001. ASME. https://doi.org/10.1115/JRC2018-6110
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