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Artificial Neural Network-Based Methodology for Optimization of Low-Cost Green UHPFRC Under Ductility Requirements Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Design Optimization of Concrete Railway Tracks by Using Non-linear Finite Element Analysis

Authors : Jean-Louis Tailhan, Pierre Rossi, D. Salin

Published in: Numerical Modeling Strategies for Sustainable Concrete Structures

Publisher: Springer International Publishing

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Abstract

Between 2007 and 2014, UGE, Alstom and other industrials partners developed a new concept of railways track called New Ballastless Track (NBT). The concept was validated under 10 million fatigue cycles on a real-size mock-up at UGE. A first numerical study using a non-linear model was performed to evaluate the possibility of replacing the original reinforced concrete layer of the track slab with Steel Fibre Reinforced Concrete. The objective is to simplify the NBT track’s construction and take advantage of the redistribution of mechanical stresses on a hyper-static structure. This study led to the conclusion that this replacement was very relevant.
This paper is on optimizing this Fibre Reinforced Concrete (FRC) solution by using the same non-linear numerical model. It is shown that this optimization procedure leads to a significant reduction of CO2 emissions compared with the initial one.

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previous chapter Relevance of Behavior Laws of Homogenized Reinforced Concrete in the Context of Finite Elements of Different Sizes
next chapter Numerical and Experimental Evaluation of Multi-ion Kinetics Associated with Macro-cell Corrosion by Pseudo-concrete
Footnotes
1
i.e., in the upper track layer. B3. at the vertical of the joints of the foundation slab. B5.
 
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Metadata
Title
Design Optimization of Concrete Railway Tracks by Using Non-linear Finite Element Analysis
Authors
Jean-Louis Tailhan
Pierre Rossi
D. Salin
Copyright Year
2023
Book
Numerical Modeling Strategies for Sustainable Concrete Structures

Print ISBN: 978-3-031-07745-6

Electronic ISBN: 978-3-031-07746-3

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-07746-3_34