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contributor authorPablo Martínez Fernández
contributor authorIgnacio Villalba Sanchís
contributor authorRicardo Insa Franco
contributor authorVíctor Yepes
date accessioned2022-08-18T12:09:36Z
date available2022-08-18T12:09:36Z
date issued2022/04/28
identifier other%28ASCE%29CO.1943-7862.0002288.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286107
description abstractRailways are an efficient transport mode, but building and maintaining railway tracks has a significant environmental impact in terms of CO2 emissions and use of raw materials. This is particularly true for slab tracks, which require large quantities of concrete. They are also more expensive to build than conventional ballasted tracks, but require less maintenance and have other advantages that make them a good alternative, especially for high-speed lines. To contribute to more sustainable railways, this paper aims to optimize the design of one of the most common slab track typologies: RHEDA 2000. The main objective is to reduce the amount of concrete required to build the slab without compromising its performance and durability. To do so, a model based on finite-element method (FEM) of the track was used, paired with a kriging metamodel to allow analyzing multiple options of slab thickness and concrete strength in a timely manner. By means of kriging, optimal solutions were obtained and then validated through the FEM model to ensure that predefined mechanical and geometrical constraints were met. Starting from an initial setup with a 30-cm slab made of concrete with a characteristic strength of 40 MPa, an optimized solution was reached, consisting of a 24-cm slab made of concrete with a strength of 45 MPa, which yields a cost reduction of 17.5%. This process may be now applied to other slab typologies to obtain more sustainable designs.
publisherASCE
titleSlab Track Optimization Using Metamodels to Improve Rail Construction Sustainability
typeJournal Article
journal volume148
journal issue7
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0002288
journal fristpage04022053
journal lastpage04022053-10
page10
treeJournal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 007
contenttypeFulltext


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